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2020 – today
- 2024
[j36]Sunyang Fu
, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn:
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 31(7): 1493-1502 (2024)- [j35]Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31(8): 1671-1681 (2024) - [j34]Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn:
MultiWD: Multi-label wellness dimensions in social media posts. J. Biomed. Informatics 150: 104586 (2024) - [j33]Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina Kuttichi Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C. Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn:
FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. J. Biomed. Informatics 152: 104623 (2024) - [j32]Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn:
Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits. BMC Medical Informatics Decis. Mak. 24(1): 305 (2024) - [j31]Eunhee Kim, Sunghwan Sohn, Hyunwook Moon, Jun Hyeok Choi, Kiwon Lee:
Linear Frequency Modulation and Orthogonal Code Modulation for Co-Located Multiple-Input Multiple-Output High-Frequency Surface Wave Radar. Remote. Sens. 16(1): 104 (2024) - [c64]Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn:
Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. ICWSM 2024: 422-434 - [i7]Muskan Garg, MSVPJ Sathvik, Amrit Chadha, Shaina Raza, Sunghwan Sohn:
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text. CoRR abs/2401.06709 (2024) - 2023
- [c63]Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn:
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. BIBM 2023: 2097-2100 - [c62]Hilal Maradit Kremers, Sunghwan Sohn, Walter K. Kremers:
Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery. BIBM 2023: 3053-3058 - [c61]Muskan Garg, Ronald C. Petersen, Xingyi Liu, Jennifer St. Sauver, Maria Vassilaki, Sunghwan Sohn:
Navigating Sex-Specific Disease Dynamics in Incident Dementia. BIBM 2023: 4065-4072 - [c60]Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn:
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. BioNLP@ACL 2023: 306-312 - [c59]Muskan Garg, Sunghwan Sohn:
CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts. ICHI 2023: 581-587 - [c58]Omar A. Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St Sauver, Sunghwan Sohn:
Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering. MedInfo 2023: 850-854 - [c57]Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn:
LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. SMC 2023: 3854-3859 - [i6]Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn:
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. CoRR abs/2306.04059 (2023) - [i5]Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn:
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts. CoRR abs/2306.05596 (2023) - [i4]MSVPJ Sathvik, Surjodeep Sarkar, Chandni Saxena, Sunghwan Sohn, Muskan Garg:
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts. CoRR abs/2311.12404 (2023) - 2022
- [j30]Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Sandeep R. Pagali, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn:
Quality assessment of functional status documentation in EHRs across different healthcare institutions. Frontiers Digit. Health 4 (2022) - [j29]Sunyang Fu, Bjoerg Thorsteinsdottir, Xin Zhang, Guilherme S. Lopes, Sandeep R. Pagali, Nathan K. LeBrasseur, Andrew Wen, Hongfang Liu, Walter A. Rocca, Janet E. Olson, Jennifer St. Sauver, Sunghwan Sohn:
A hybrid model to identify fall occurrence from electronic health records. Int. J. Medical Informatics 162: 104736 (2022) - [j28]Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, J. Wilfred Fan:
A scoping review of medical practice variation research within the informatics literature. Int. J. Medical Informatics 165: 104833 (2022) - [j27]Young J. Juhn, Euijung Ryu, Chung-Il Wi, Katherine S. King, Momin M. Malik, Santiago Romero-Brufau, Chunhua Weng, Sunghwan Sohn, Richard R. Sharp, John D. Halamka:
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 29(7): 1142-1151 (2022) - [c56]Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn:
Quality Assessment of Functional Status Documentation in EHR Across Institutions. AMIA 2022 - [c55]Euijung Ryu, Katherine S. King, Sunghwan Sohn, Chung-Il Wi, Momin M. Malik, Richard R. Sharp, John D. Halamka, Young J. Juhn:
The role of individual-level socioeconomic status on bias of machine learning algorithm. AMIA 2022 - [c54]Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Michelle M. Mielke, Jennifer St Sauver, Ronald C. Petersen, Sunghwan Sohn:
Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. ICHI 2022: 211-216 - [c53]Elham Sagheb, Taghi Ramazanian, A. Noelle Larson, Sunghwan Sohn, Hilal Maradit Kremers:
Automated Detection of Type of Scoliosis Surgery from Operative Notes Using Natural Language Processing. ICHI 2022: 497-498 - 2021
- [j26]Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan, Hongfang Liu:
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 113: 103660 (2021) - [j25]Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu, Young J. Juhn:
Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique. BMC Medical Informatics Decis. Mak. 21(1): 310 (2021) - [j24]Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn:
Identification of asthma control factor in clinical notes using a hybrid deep learning model. BMC Medical Informatics Decis. Mak. 21-S(7): 272 (2021) - [c52]Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David J. Cronkite, Sunghwan Sohn, Shawn N. Murphy, Justin H. Gundelach, Vivian S. Gainer, Victor M. Castro, Cong Liu, Todd Lingren, Frank D. Mentch, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al'ona Furmanchuk, Roshan Patel, David S. Carrell, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, Wei-Qi Wei:
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. AMIA 2021 - [c51]Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, Jungwei Fan:
A Scoping Review of Informatics Research for Clinical Practice Variation. AMIA 2021 - [c50]Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn:
Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. BIBM 2021: 905-912 - [c49]Sunyang Fu, Andrew Wen, Sandeep R. Pagali, Nansu Zong, Jennifer St Sauver, Sunghwan Sohn, Jungwei Fan, Hongfang Liu:
The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. MedInfo 2021: 173-177 - [c48]Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn:
Prediction of Incident Dementia Using Patient Temporal Health Status. MedInfo 2021: 757-761 - 2020
- [j23]Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Clinical concept extraction: A methodology review. J. Biomed. Informatics 109: 103526 (2020) - [c47]Elham Sagheb, Jungwon Yoon, Chung-Il Wi, Pragya Shrestha, Euijung Ryu, Miguel Park, Barbara P. Yawn, Hongfang Liu, Young J. Juhn, Sunghwan Sohn:
Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting. AMIA 2020 - [c46]Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn:
Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. BIBM 2020: 1736-1739 - [c45]Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael J. Taunton, Hilal Maradit Kremers, Ahmad P. Tafti:
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) 2020: 154-165
2010 – 2019
- 2019
- [j22]Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman:
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. Int. J. Medical Informatics 130 (2019) - [j21]Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn:
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. J. Heal. Informatics Res. 3(3): 267-282 (2019) - [j20]Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics Decis. Mak. 19(1): 1:1-1:13 (2019) - [j19]Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
Natural language processing of radiology reports for identification of skeletal site-specific fractures. BMC Medical Informatics Decis. Mak. 19-S(3): 23-29 (2019) - [j18]Somaieh Goudarzvand, Jennifer L. St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Yugyung Lee, Sunghwan Sohn:
Early temporal characteristics of elderly patient cognitive impairment in electronic health records. BMC Medical Informatics Decis. Mak. 19-S(4): 149:1-149:14 (2019) - [j17]David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu:
Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine 2 (2019) - [j16]Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan:
Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digit. Medicine 2 (2019) - [c44]Sungrim Moon, Vinod Kaggal, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Adelaide M. Arruda-Olson:
Adaptation of a Natural Language Processing Algorithm Following Implementation of a New Electronic Health Record. AMIA 2019 - [c43]Yanshan Wang, Sunghwan Sohn:
Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA 2019 - [c42]Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick:
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA 2019 - [c41]Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn:
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records. BIBM 2019: 799-806 - [c40]Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang:
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) 2019: 22-25 - [i3]Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR abs/1910.11377 (2019) - 2018
- [j15]Naveed Afzal, Vishnu Priya Mallipeddi, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Christopher Scott, Iftikhar J. Kullo, Adelaide M. Arruda-Olson:
Natural language processing of clinical notes for identification of critical limb ischemia. Int. J. Medical Informatics 111: 83-89 (2018) - [j14]Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu:
Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. J. Am. Medical Informatics Assoc. 25(3): 353-359 (2018) - [j13]Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu:
Clinical information extraction applications: A literature review. J. Biomed. Informatics 77: 34-49 (2018) - [j12]Stephen T. Wu, Sijia Liu, Sunghwan Sohn, Sungrim Moon, Chung-Il Wi, Young J. Juhn, Hongfang Liu:
Modeling asynchronous event sequences with RNNs. J. Biomed. Informatics 83: 167-177 (2018) - [c39]Sijia Liu, Liwei Wang, Sunghwan Sohn, Liping Xia, Hongfang Liu:
ARETA: A Corpus for Asthma Related Event Temporal Association. AMIA 2018 - [c38]Na Hong, Andrew Wen, Majid Rastegar-Mojarad, Sunghwan Sohn, Hongfang Liu, Guoqian Jiang:
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP. AMIA 2018 - [c37]Sunghwan Sohn, Debra J. Jacobson, Chun Fan, Jennifer L. St. Sauver:
Assessment of Patient Falls Identification from Electronic Health Records Using Code- and Text-Based Approaches. AMIA 2018 - [c36]Somaieh Goudarzvand, Jennifer St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Sunghwan Sohn:
Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records. BIBM 2018: 1636-1640 - [c35]Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. ICHI Workshops 2018: 64-65 - [i2]Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn:
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. CoRR abs/1803.08850 (2018) - [i1]Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. CoRR abs/1804.07814 (2018) - 2017
- [j11]Majid Rastegar-Mojarad, Sunghwan Sohn, Liwei Wang, Feichen Shen, Troy C. Bleeker, William A. Cliby, Hongfang Liu:
Need of informatics in designing interoperable clinical registries. Int. J. Medical Informatics 108: 78-84 (2017) - [c34]Sunghwan Sohn, Young J. Juhn, Sungrim Moon, Chung-Il Wi, Katherine S. King, Euijung Ryu, Hongfang Liu:
Bayesian Prediction of Asthma Exacerbation in Children. AMIA 2017 - [c33]Naveed Afzal, Sunghwan Sohn, Christopher Scott, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda-Olson:
Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes. CRI 2017 - [c32]Feichen Shen, Sunghwan Sohn, Majid Rastegar-Mojarad, Sijia Liu, Joshua J. Pankratz, Michael Hatton, Nancy Sowada, Om Shrestha, Shawna Shurson, Hongfang Liu:
Populating Physician Biographical Pages Based on EMR Data. CRI 2017 - [c31]Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn:
Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks. CRI 2017 - [c30]Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn:
Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections. CRI 2017 - [c29]Majid Rastegar-Mojarad, Jenna K. Lovely, Joshua J. Pankratz, Sunghwan Sohn, Donna M. Ihrke, Amit Merchea, David W. Larson, Hongfang Liu:
Using Unstructured Data to Identify Readmitted Patients. ICHI 2017: 1-4 - [c28]Sunghwan Sohn, Chung-Il Wi, Young J. Juhn, Hongfang Liu:
Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians. MedInfo 2017: 1170-1174 - 2016
- [c27]Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu:
Asthma Ascertainment NLP System Portability across Institutions. AMIA 2016 - [c26]Stephen T. Wu, Yanshan Wang, Sunghwan Sohn, Chung-Il Wi, Elizabeth A. Krusemark, Hongfang Liu, Young J. Juhn:
Probabilistic Population-level Modeling of Disease Event Timelines. AMIA 2016 - [c25]Naveed Afzal, Sunghwan Sohn, Sara Abram, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda-Olson:
Identifying peripheral arterial disease cases using natural language processing of clinical notes. BHI 2016: 126-131 - [c24]Sunghwan Sohn, Young J. Juhn, Chung-Il Wi, Euijung Ryu, Hongfang Liu:
Ascertaining Asthma Predictive Index through Natural Language Processing. CRI 2016 - [c23]Stephen T. Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, Young J. Juhn:
Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. LREC 2016 - 2015
- [j10]Saeed Mehrabi, Anand Krishnan, Sunghwan Sohn, Alexandra M. Roch, Heidi Schmidt, Joe Kesterson, Chris Beesley, Paul R. Dexter, C. Max Schmidt, Hongfang Liu, Mathew J. Palakal:
DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx. J. Biomed. Informatics 54: 213-219 (2015) - [c22]Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu:
Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing. AMIA 2015 - [c21]Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu:
Prediction of Colorectal Surgical Site Infections Using Risk Factors. AMIA 2015 - [c20]Dingcheng Li, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Saeed Mehrabi, Yue Yu, Sunghwan Sohn, Yanpeng Li, Naveed Afzal, Hongfang Liu:
A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. BCB 2015: 315-324 - [c19]Feichen Shen, Hongfang Liu, Sunghwan Sohn, David W. Larson, Yugyung Lee:
BmQGen: Biomedical query generator for knowledge discovery. BIBM 2015: 1092-1097 - [c18]Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal:
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. ICHI 2015: 408-416 - [c17]Dingcheng Li, Majid Rastegar-Mojarad, Yanpeng Li, Sunghwan Sohn, Saeed Mehrabi, Ravikumar Komandur Elayavilli, Yue Yu, Hongfang Liu:
A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing. MedInfo 2015: 1033-1034 - 2014
- [j9]Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu:
Research and applications: MedXN: an open source medication extraction and normalization tool for clinical text. J. Am. Medical Informatics Assoc. 21(5): 858-865 (2014) - [j8]Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Hongfang Liu:
Research and applications: Patient-level temporal aggregation for text-based asthma status ascertainment. J. Am. Medical Informatics Assoc. 21(5): 876-884 (2014) - [c16]Sunghwan Sohn, Hongfang Liu:
Analysis of Medication and Indication Occurrences in Clinical Notes. AMIA 2014 - [c15]Sunghwan Sohn, Hongfang Liu:
Exploration of Potential Drug Off-label Uses in Clinical Practice. AMIA 2014 - 2013
- [j7]Sunghwan Sohn, Kavishwar B. Wagholikar, Dingcheng Li, Siddhartha Jonnalagadda, Cui Tao, Ravikumar Komandur Elayavilli, Hongfang Liu:
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. J. Am. Medical Informatics Assoc. 20(5): 836-842 (2013) - [c14]Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu:
Medication Extraction and Normalization from Clinical Notes. AMIA 2013 - [c13]Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu:
Clinical Drug Extraction and Normalization from Clinical Notes. AMIA 2013 - [c12]Hongfang Liu, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Sunghwan Sohn:
Integrated cTAKES for Concept Mention Detection and Normalization. CLEF (Working Notes) 2013 - 2012
- [j6]Siddhartha Jonnalagadda, Dingcheng Li, Sunghwan Sohn, Stephen Tze-Inn Wu, Kavishwar B. Wagholikar, Manabu Torii, Hongfang Liu:
Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. J. Am. Medical Informatics Assoc. 19(5): 867-874 (2012) - [c11]Suzette J. Bielinski, Jyotishman Pathak, Hongfang Liu, Sunghwan Sohn, Gail P. Jarvik, David Carrell, Naveen Pereira, Véronique L. Roger:
Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction. AMIA 2012 - [c10]Hongfang Liu, Stephen T. Wu, Dingcheng Li, Siddhartha Jonnalagadda, Sunghwan Sohn, Kavishwar B. Wagholikar, Peter J. Haug, Stanley M. Huff, Christopher G. Chute:
Towards a semantic lexicon for clinical natural language processing. AMIA 2012 - [c9]Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Hongfang Liu:
Asthma Status Identification with Natural Language Processing. AMIA 2012 - [c8]Kavishwar B. Wagholikar, Sunghwan Sohn, Stephen T. Wu, Vinod Kaggal, Sheila Buehler, Robert A. Greenes, Tsung-Teh Wu, David W. Larson, Hongfang Liu, Rajeev Chaudhry, Lisa Boardman:
Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing. HISB 2012: 12-21 - [c7]Sunghwan Sohn, Sean P. Murphy, Siddhartha Jonnalagadda, Kavishwar B. Wagholikar, Stephen T. Wu, Christopher G. Chute, Hongfang Liu, Scott R. Halgrim:
Systematic Analysis of Cross-Institutional Medication Description Patterns in Clinical Notes. HISB 2012: 118 - 2011
- [j5]Sunghwan Sohn, Jean-Pierre A. Kocher, Christopher G. Chute, Guergana K. Savova:
Drug side effect extraction from clinical narratives of psychiatry and psychology patients. J. Am. Medical Informatics Assoc. 18(Supplement): 144-149 (2011) - [c6]Stephen T. Wu, Kavishwar B. Wagholikar, Sunghwan Sohn, Vinod Kaggal, Hongfang Liu:
Empirical Ontologies for Cohort Identification. TREC 2011 - 2010
- [j4]Guergana K. Savova, James J. Masanz, Philip V. Ogren, Jiaping Zheng, Sunghwan Sohn, Karin Kipper Schuler, Christopher G. Chute:
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J. Am. Medical Informatics Assoc. 17(5): 507-513 (2010)
2000 – 2009
- 2009
- [c5]Sunghwan Sohn, Guergana K. Savova:
Mayo Clinic Smoking Status Classification System: Extensions and Improvements. AMIA 2009 - 2008
- [j3]Sunghwan Sohn, Donald C. Comeau, Won Kim, W. John Wilbur:
Abbreviation definition identification based on automatic precision estimates. BMC Bioinform. 9 (2008) - [j2]Sunghwan Sohn, Won Kim, Donald C. Comeau, W. John Wilbur:
Research Paper: Optimal Training Sets for Bayesian Prediction of MeSH® Assignment. J. Am. Medical Informatics Assoc. 15(4): 546-553 (2008) - [c4]Jae Moung Kim, Sunghwan Sohn, Ning Han, Han Zheng, Young Min Kim, Joo-Kwan Lee:
Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm. CrownCom 2008: 1-6 - 2007
- [c3]Sunghwan Sohn, Ning Han, Jae Moung Kim, Jae-Wan Kim:
OFDM Signal Sensing Method Based on Cyclostationary Detection. CrownCom 2007: 63-68 - [c2]Guanbo Zheng, Ning Han, Xiaoge Huang, Sunghwan Sohn, Jae Moung Kim:
Enhanced Energy Detector for IEEE 802.22 WRAN Systems Using Maximal-to-Mean Power Ratio. ISWCS 2007: 370-374 - 2004
- [j1]Sunghwan Sohn, Cihan H. Dagli:
Ensemble of Evolving Neural Networks in Classification. Neural Process. Lett. 19(3): 191-203 (2004) - 2001
- [c1]James M. Keller, Paul D. Gader, Sunghwan Sohn, Charles William Caldwell:
Soft counting networks for bone marrow differentials. SMC 2001: 3425-3428
Coauthor Index
[j36] [j33] [j30] [j29] [c56] [j26] [j25] [c49] [j23] [c47] [c45] [j22] [j21] [j20] [j19] [j17] [j16] [c44] [i3] [j15] [j14] [j13] [j12] [c39] [c38] [c35] [i2] [i1] [j11] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j10] [c22] [c21] [c20] [c19] [c18] [c17] [j9] [j8] [c16] [c15] [j7] [c14] [c13] [c12] [j6] [c11] [c10] [c9] [c8] [c7] [c6]
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