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ORCIDGeorge Hripcsak
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- affiliation: Columbia University, Department of Biomedical Informatics, New York, NY, USA
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2020 – today
- 2024
[j150]Deepak K. Agrawal
, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers:
Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model. Comput. Biol. Medicine 173: 108349 (2024)- [j149]Christian G. Reich, Anna Ostropolets, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie, Alexander Davydov, Dmitry Dymshyts, George Hripcsak:
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization. J. Am. Medical Informatics Assoc. 31(3): 583-590 (2024) - [j148]Maura Beaton, Xinzhuo Jiang, Elise L. Minto, Chun Yee Lau, Lennon Turner, George Hripcsak, Kanchan Chaudhari, Karthik Natarajan:
Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program. J. Am. Medical Informatics Assoc. 31(10): 2328-2336 (2024) - [j147]Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noémie Elhadad, David M. Blei, George Hripcsak:
Causal fairness assessment of treatment allocation with electronic health records. J. Biomed. Informatics 155: 104656 (2024) - [i7]Chao Pang, Xinzhuo Jiang, Nishanth Parameshwar Pavinkurve, Krishna S. Kalluri, Elise L. Minto, Jason Patterson, Linying Zhang, George Hripcsak, Noémie Elhadad, Karthik Natarajan:
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. CoRR abs/2402.04400 (2024) - 2023
- [j146]Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen:
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30(3): 427-437 (2023) - [j145]Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan:
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30(5): 859-868 (2023) - [j144]Anna Ostropolets, George Hripcsak, Syed A Husain, Lauren R. Richter, Matthew E. Spotnitz, Ahmed Elhussein, Patrick B. Ryan:
Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. J. Am. Medical Informatics Assoc. 31(1): 119-129 (2023) - [j143]J. N. Stroh, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers:
Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research. J. Biomed. Informatics 137: 104275 (2023) - [j142]Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - [j141]Qiong Wu, Martijn J. Schuemie, Marc A. Suchard, Patrick B. Ryan, George Hripcsak, Charles A. Rohde, Yong Chen:
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. J. Biomed. Informatics 145: 104476 (2023) - [j140]David J. Albers, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak:
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J. Biomed. Informatics 145: 104477 (2023) - [j139]Yanran Wang, J. N. Stroh, George Hripcsak, Cecilia C. Low Wang, Tellen D. Bennett, Julia Wrobel, Caroline Der Nigoghossian, Scott W. Mueller, Jan Claassen, David J. Albers:
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J. Biomed. Informatics 148: 104547 (2023) - [j138]Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023) - [i6]Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter:
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR abs/2307.05727 (2023) - 2022
- [j137]James R. Rogers, Jovana Pavisic, Casey N. Ta, Cong Liu, Ali Soroush, Ying Kuen Cheung, George Hripcsak, Chunhua Weng:
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety. J. Biomed. Informatics 127: 104032 (2022) - [j136]Linying Zhang, Yixin Wang, Martijn J. Schuemie, David M. Blei, George Hripcsak:
Adjusting for indirectly measured confounding using large-scale propensity score. J. Biomed. Informatics 134: 104204 (2022) - [j135]Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen:
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Medical Informatics Decis. Mak. 22(1): 23 (2022) - [j134]Andrea H. Ramirez, Lina M. Sulieman, David J. Schlueter, Alese E. Halvorson, Jun Qian, Francis Ratsimbazafy, Roxana Loperena-Cortes, Kelsey R. Mayo, Melissa A. Basford, Nicole Deflaux, Karthik Muthuraman, Karthik Natarajan, Abel N. Kho, Hua Xu, Consuelo H. Wilkins, Hoda Anton-Culver, Eric Boerwinkle, Mine Cicek, Cheryl R. Clark, Elizabeth Cohn, Lucila Ohno-Machado, Sheri D. Schully, Brian K. Ahmedani, Maria Argos, Robert M. Cronin, Christopher J. O'Donnell, Mona Fouad, David B. Goldstein, Philip Greenland, Scott J. Hebbring, Elizabeth W. Karlson, Parinda Khatri, Bruce Korf, Jordan W. Smoller, Stephen Sodeke, John Wilbanks, Justin Hentges, Stephen Mockrin, Christopher Lunt, Stephanie A. Devaney, Kelly Gebo, Joshua C. Denny, Robert J. Carroll, David Glazer, Paul A. Harris, George Hripcsak, Anthony A. Philippakis, Dan M. Roden:
The All of Us Research Program: Data quality, utility, and diversity. Patterns 3(8): 100570 (2022) - [c113]Tara V. Anand, Marc A. Suchard, George Hripcsak:
Reproducibility in comparative effectiveness and safety of ACE inhibitors and thiazides for modified monotherapy treatment criteria. AMIA 2022 - [c112]Tiffany J. Callahan, Adrianne L. Stefanski, Danielle Ostendorf, Jordan M. Wyrwa, Sara J. Deakyne Davies, George Hripcsak, Lawrence Hunter, Michael G. Kahn:
Characterizing Patient Representations for Computational Phenotyping. AMIA 2022 - [c111]Anna Ostropolets, Patrick B. Ryan, George Hripcsak:
Phenotyping in distributed data networks: selecting the right codes for the right patients. AMIA 2022 - [c110]Lauren R. Richter, Benjamin Albert, Linying Zhang, Ilene Fennoy, David J. Albers, George Hripcsak:
Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents. AMIA 2022 - [c109]J. N. Stroh, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers:
Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling. AMIA 2022 - [c108]Yanran Wang, J. N. Stroh, George Hripcsak, Cecilia C. Low Wang, Julia Wrobel, Caroline Der Nigoghossian, Tellen D. Bennett, David J. Albers:
A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation. AMIA 2022 - [i5]Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR abs/2209.04732 (2022) - [i4]Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak:
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. CoRR abs/2211.11183 (2022) - 2021
- [j133]James R. Rogers, Junghwan Lee, Ziheng Zhou, Ying Kuen Cheung, George Hripcsak, Chunhua Weng:
Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. J. Am. Medical Informatics Assoc. 28(1): 144-154 (2021) - [j132]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. J. Am. Medical Informatics Assoc. 28(1): 196 (2021) - [j131]Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing:
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28(3): 427-443 (2021) - [j130]Justin B. Starren, William M. Tierney, Marc S. Williams, Paul C. Tang, Charlene R. Weir, Ross Koppel, Philip R. O. Payne, George Hripcsak, Don E. Detmer:
A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming? J. Am. Medical Informatics Assoc. 28(5): 948-954 (2021) - [j129]Victor Alfonso Rodriguez, Shreyas Bhave, Ruijun Chen, Chao Pang, George Hripcsak, Soumitra Sengupta, Noemie Elhadad, Robert A. Green, Jason S. Adelman, Katherine Schlosser Metitiri, Pierre Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte:
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J. Am. Medical Informatics Assoc. 28(7): 1480-1488 (2021) - [j128]Anna Ostropolets, Philip Zachariah, Patrick B. Ryan, Ruijun Chen, George Hripcsak:
Data Consult Service: Can we use observational data to address immediate clinical needs? J. Am. Medical Informatics Assoc. 28(10): 2139-2146 (2021) - [j127]James R. Rogers, George Hripcsak, Ying Kuen Cheung, Chunhua Weng:
Clinical comparison between trial participants and potentially eligible patients using electronic health record data: A generalizability assessment method. J. Biomed. Informatics 119: 103822 (2021) - [j126]Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk:
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021) - [j125]David J. Albers, Matthew E. Levine, Bruce J. Gluckman, Henry N. Ginsberg, George Hripcsak, Lena Mamykina:
Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput. Biol. 17(8) (2021) - [c107]David J. Albers, Deepak K. Agrawal, Bradford J. Smith, Peter D. Sottile, Tellen D. Bennett, Jake Stroh, George Hripcsak:
Toward phenotyping of ventilator-induced lung injury with a damage-informed pulmonary model of lung-ventilator interaction. AMIA 2021 - [c106]Anna Ostropolets, Patrick B. Ryan, George Hripcsak:
PHenotype Observed Entity Baseline Endorsements (PHOEBE) - recommender system for concept selection in phenotype algorithm development. AMIA 2021 - [c105]Lena Mamykina, Arlene M. Smaldone, Suzanne R. Bakken, Noemie Elhadad, Elliot G. Mitchell, Pooja M. Desai, Matthew E. Levine, Jonathan N. Tobin, Andrea Cassells, Patricia G. Davidson, David J. Albers, George Hripcsak:
Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. CHI Extended Abstracts 2021: 50:1-50:6 - 2020
- [j124]Mehr Kashyap, Martin G. Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah:
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. J. Am. Medical Informatics Assoc. 27(6): 877-883 (2020) - [j123]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J. Am. Medical Informatics Assoc. 27(8): 1268-1277 (2020) - [j122]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J. Am. Medical Informatics Assoc. 27(8): 1331-1337 (2020) - [j121]Anna Ostropolets, Linying Zhang, George Hripcsak:
A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time. J. Am. Medical Informatics Assoc. 27(12): 1968-1976 (2020) - [j120]Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Ning Shang, George Hripcsak, Chunhua Weng:
Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping. J. Biomed. Informatics 102: 103363 (2020) - [j119]Chunhua Weng, Nigam H. Shah, George Hripcsak:
Deep phenotyping: Embracing complexity and temporality - Towards scalability, portability, and interoperability. J. Biomed. Informatics 105: 103433 (2020) - [j118]Ling Zheng, Hua Min, Yan Chen, Vipina Kuttichi Keloth, James Geller, Yehoshua Perl, George Hripcsak:
Outlier concepts auditing methodology for a large family of biomedical ontologies. BMC Medical Informatics Decis. Mak. 20-S(10): 296 (2020) - [c104]David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak:
Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. AMIA 2020 - [c103]Ruijun Chen, Martijn J. Schuemie, Marc A. Suchard, Anna Ostropolets, Linying Zhang, Patrick B. Ryan, George Hripcsak:
Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research. AMIA 2020 - [c102]George Hripcsak, David M. Blei, Elias Bareinboim, Martijn J. Schuemie, Linying Zhang:
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. AMIA 2020 - [c101]Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Chunhua Weng, Anthony Molinaro, Frank J. DeFalco, Jitendra Jonnagaddala, Siaw-Teng Liaw, Hokyun Jeon, Rae Woong Park, Matthew E. Spotnitz, Karthik Natarajan, Kristin Kostka, George Argyriou, Robert T. Miller, Andrew E. Williams, Evan Minty, José D. Posada, George Hripcsak:
Characterizing database granularity using SNOMED-CT hierarchy. AMIA 2020 - [c100]James R. Rogers, Junghwan Lee, Ziheng Zhou, Patrick B. Ryan, George Hripcsak, Chunhua Weng:
Contemporary Use of Real World Data for Clinical Trial Conduct. AMIA 2020 - [c99]Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak:
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. AMIA 2020 - [c98]Xu Zuo, Jianfu Li, Bo Zhao, Yujia Zhou, Xiao Dong, Jon D. Duke, Karthik Natarajan, George Hripcsak, Nigam Shah, Juan M. Banda, Ruth M. Reeves, Hua Xu:
Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. AMIA 2020
2010 – 2019
- 2019
- [j117]Lisa V. Grossman, Ruth Masterson Creber, Jessica S. Ancker, Beatriz Ryan, Fernanda Polubriaginof, Min Qian, Irma J. Alarcon, Susan Restaino, Suzanne Bakken, George Hripcsak, David K. Vawdrey:
Technology Access, Technical Assistance, and Disparities in Inpatient Portal Use. Appl. Clin. Inform. 10(01): 40-50 (2019) - [j116]Benjamin Kummer, Joshua Z. Willey, Michael J. Zelenetz, Yiping Hu, Soumitra Sengupta, Mitchell S. V. Elkind, George Hripcsak:
Neurological Dashboards and Consultation Turnaround Time at an Academic Medical Center. Appl. Clin. Inform. 10(05): 849-858 (2019) - [j115]Ruth M. Masterson Creber, Lisa V. Grossman, Beatriz Ryan, Min Qian, Fernanda Polubriaginof, Susan Restaino, Suzanne Bakken, George Hripcsak, David K. Vawdrey:
Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal. J. Am. Medical Informatics Assoc. 26(2): 115-123 (2019) - [j114]Fernanda C. Polubriaginof, Patrick B. Ryan, Hojjat Salmasian, Andrea W. Shapiro, Adler J. Perotte, Monika M. Safford, George Hripcsak, Shaun Smith, Nicholas P. Tatonetti, David K. Vawdrey:
Challenges with quality of race and ethnicity data in observational databases. J. Am. Medical Informatics Assoc. 26(8-9): 730-736 (2019) - [j113]Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak:
Temporal biomedical data analytics. J. Biomed. Informatics 90 (2019) - [j112]George Hripcsak, Ning Shang, Peggy L. Peissig, Luke V. Rasmussen, Cong Liu, Barbara Benoit, Robert J. Carroll, David S. Carrell, Joshua C. Denny, Ozan Dikilitas, Vivian S. Gainer, Kayla Marie Howell, Jeffrey G. Klann, Iftikhar J. Kullo, Todd Lingren, Frank D. Mentch, Shawn N. Murphy, Karthik Natarajan, Chunhua Weng:
Facilitating phenotype transfer using a common data model. J. Biomed. Informatics 96 (2019) - [j111]Joel N. Swerdel, George Hripcsak, Patrick B. Ryan:
PheValuator: Development and evaluation of a phenotype algorithm evaluator. J. Biomed. Informatics 97 (2019) - [c97]Anna Ostropolets, Linying Zhang, Jami Jackson Mulgrave, George Hripcsak:
Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools. AMIA 2019 - [c96]Youjin Park, Hyung Woo Kim, Seng Chan You, George Hripcsak, Han Eol Cho, Ji Hyuk Han, Seo Jeong Shin, Rae Woong Park:
Network Analysis of Citation in Hypertension Clinical Guidelines. MedInfo 2019: 1017-1020 - [c95]Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak:
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. MLHC 2019: 490-512 - [i3]Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak:
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). CoRR abs/1904.02098 (2019) - 2018
- [j110]Benjamin Kummer, Michael Lerario, Babak Navi, Adam Ganzman, Daniel Ribaudo, Saad Mir, Sammy Pishanidar, Tim Lekic, Olajide Williams, Hooman Kamel, Randolph Marshall, George Hripcsak, Mitchell Elkind, Matthew Fink:
Clinical Information Systems Integration in New York City's First Mobile Stroke Unit. Appl. Clin. Inform. 09(01): 89-98 (2018) - [j109]George Hripcsak, Ove Wigertz, Paul D. Clayton:
Origins of the Arden Syntax. Artif. Intell. Medicine 92: 7-9 (2018) - [j108]Santiago Vilar, Carol Friedman, George Hripcsak:
Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. Briefings Bioinform. 19(5): 863-877 (2018) - [j107]Ning Shang, Chunhua Weng, George Hripcsak:
A conceptual framework for evaluating data suitability for observational studies. J. Am. Medical Informatics Assoc. 25(3): 248-258 (2018) - [j106]Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean D. Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti:
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25(3): 275-288 (2018) - [j105]George Hripcsak, David J. Albers:
High-fidelity phenotyping: richness and freedom from bias. J. Am. Medical Informatics Assoc. 25(3): 289-294 (2018) - [j104]David J. Albers, Matthew E. Levine, Andrew M. Stuart, Lena Mamykina, Bruce J. Gluckman, George Hripcsak:
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype. J. Am. Medical Informatics Assoc. 25(10): 1392-1401 (2018) - [j103]Jennifer E. Prey, Fernanda Polubriaginof, Lisa V. Grossman, Ruth M. Masterson Creber, Demetra S. Tsapepas, Rimma Perotte, Min Qian, Susan Restaino, Suzanne Bakken, George Hripcsak, Leigh Efird, Joseph Underwood, David K. Vawdrey:
Engaging hospital patients in the medication reconciliation process using tablet computers. J. Am. Medical Informatics Assoc. 25(11): 1460-1469 (2018) - [j102]George Hripcsak, Matthew E. Levine, Ning Shang, Patrick B. Ryan:
Effect of vocabulary mapping for conditions on phenotype cohorts. J. Am. Medical Informatics Assoc. 25(12): 1618-1625 (2018) - [j101]David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, Andrew Goldstein, George Hripcsak:
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J. Biomed. Informatics 78: 87-101 (2018) - [j100]Matthew E. Levine, David J. Albers, George Hripcsak:
Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J. Biomed. Informatics 86: 149-159 (2018) - [j99]Chunhua Weng, Nigam Shah, George Hripcsak:
Call for papers: Deep phenotyping for Precision Medicine. J. Biomed. Informatics 87: 66-67 (2018) - [j98]Lisa V. Grossman, Elliot G. Mitchell, George Hripcsak, Chunhua Weng, David K. Vawdrey:
A method for harmonization of clinical abbreviation and acronym sense inventories. J. Biomed. Informatics 88: 62-69 (2018) - [c94]David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak:
Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. AMIA 2018 - [c93]Ruijun Chen, Patrick B. Ryan, Karthik Natarajan, Thomas Falconer, Christian G. Reich, Rohit Vashisht, Nigam Shah, George Hripcsak:
Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network. AMIA 2018 - [c92]Ruth M. Masterson Creber, Lisa V. Grossman, Beatriz Ryan, Fernanda C. Polubriaginof, Min Qian, Susan Restaino, Suzanne R. Bakken, George Hripcsak, David K. Vawdrey:
Engaging Hospitalized Patients with Personalized Health Information: A Randomized Trial of an Acute Care Patient Portal. AMIA 2018 - [c91]Fernanda C. Polubriaginof, Ning Shang, George Hripcsak, Nicholas P. Tatonetti, David K. Vawdrey:
Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives. AMIA 2018 - [c90]Yizhen Zhong, Luke V. Rasmussen, Yu Deng, Jennifer A. Pacheco, Maureen E. Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua C. Denny, Nephi Walton, George Hripcsak, Christopher G. Chute, Yuan Luo:
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. BIBM 2018: 1143-1146 - [i2]Yizhen Zhong, Luke V. Rasmussen, Yu Deng, Jennifer A. Pacheco, Maureen E. Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua C. Denny, Nephi Walton, George Hripcsak, Christopher G. Chute, Yuan Luo:
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. CoRR abs/1811.06183 (2018) - 2017
- [j97]Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch:
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif. Intell. Medicine 81: 12-32 (2017) - [j96]Santiago Vilar, George Hripcsak:
The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions. Briefings Bioinform. 18(4): 670-681 (2017) - [j95]Po-Hsiang Chiu, George Hripcsak:
EHR-based phenotyping: Bulk learning and evaluation. J. Biomed. Informatics 70: 35-51 (2017) - [j94]Lena Mamykina, Elizabeth M. Heitkemper, Arlene M. Smaldone, Rita Kukafka, Heather J. Cole-Lewis, Patricia G. Davidson, Elizabeth D. Mynatt, Andrea Cassells, Jonathan N. Tobin, George Hripcsak:
Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data. J. Biomed. Informatics 76: 1-8 (2017) - [j93]Colin G. Walsh, Kavya Sharman, George Hripcsak:
Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk. J. Biomed. Informatics 76: 9-18 (2017) - [j92]David J. Albers, Matthew E. Levine, Bruce J. Gluckman, Henry N. Ginsberg, George Hripcsak, Lena Mamykina:
Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput. Biol. 13(4) (2017) - [j91]Robert Moskovitch, Hyunmi Choi, George Hripcsak, Nicholas P. Tatonetti:
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 555-563 (2017) - [c89]David J. Albers, Matthew E. Levine, Andrew M. Stuart, Bruce J. Gluckman, George Hripcsak:
Why predicting postprandial glucose using self-monitoring data is difficult. AMIA 2017 - [c88]Jon D. Duke, George Hripcsak, Patrick B. Ryan, Nigam Shah:
From Large-Scale Network Analytics to Clinical Solutions in OHDSI. AMIA 2017 - [c87]