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2020 – today
- 2023
[j32]Jacqueline Honerlaw
, Yuk-Lam Ho, Francesca Fontin, Jeffrey Gosian, Monika Maripuri, Michael Murray, Rahul Sangar, Ashley Galloway, Andrew J. Zimolzak, Stacey B. Whitbourne, Juan P. Casas, Rachel B. Ramoni, David R. Gagnon, Tianxi Cai, Katherine P. Liao, J. Michael Gaziano, Sumitra Muralidhar, Kelly Cho:
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. J. Am. Medical Informatics Assoc. 30(5): 958-964 (2023)- [j31]Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - [j30]Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik:
Multimodal learning on graphs for disease relation extraction. J. Biomed. Informatics 143: 104415 (2023) - [j29]Chuan Hong, Liang Liang, Qianyu Yuan, Kelly Cho, Katherine P. Liao, Michael J. Pencina, David C. Christiani, Tianxi Cai:
Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. J. Biomed. Informatics 144: 104425 (2023) - [j28]Doudou Zhou, Tianxi Cai, Junwei Lu:
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices. J. Mach. Learn. Res. 24: 221:1-221:43 (2023) - [c13]Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu:
Prompt Discriminative Language Models for Domain Adaptation. ClinicalNLP@ACL 2023: 247-258 - [i12]Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai:
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records. CoRR abs/2305.11407 (2023) - [i11]Xin Xiong, Zijian Guo, Tianxi Cai:
Distributionally Robust Transfer Learning. CoRR abs/2309.06534 (2023) - 2022
- [j27]Nicholas B. Link, Sicong Huang, Tianrun Cai, Jiehuan Sun, Kumar Dahal, Lauren Costa, Kelly Cho, Katherine P. Liao, Tianxi Cai, Chuan Hong:
Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping. Int. J. Medical Informatics 162: 104753 (2022) - [j26]Tianrun Cai, Zeling He, Chuan Hong, Yichi Zhang, Yuk-Lam Ho, Jacqueline Honerlaw, Alon Geva, Vidul Ayakulangara Panickan, Amanda King, David R. Gagnon, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review. J. Biomed. Informatics 132: 104109 (2022) - [j25]Doudou Zhou, Ziming Gan, Xu Shi, Alina Patwari, Everett Neil Rush, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Chuan Hong, Yuk-Lam Ho, Tianrun Cai, Lauren Costa, Xiaoou Li, Victor M. Castro, Shawn N. Murphy, Gabriel A. Brat, Griffin M. Weber, Paul Avillach, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Junwei Lu, Tianxi Cai:
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization. J. Biomed. Informatics 133: 104147 (2022) - [j24]Isabelle-Emmanuella Nogues, Jun Wen, Yucong Lin, Molei Liu, Sara K. Tedeschi, Alon Geva, Tianxi Cai, Chuan Hong:
Weakly Semi-supervised phenotyping using Electronic Health records. J. Biomed. Informatics 134: 104175 (2022) - [j23]Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j22]Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai:
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping. J. Mach. Learn. Res. 23: 83:1-83:25 (2022) - [j21]Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022) - [c12]Molei Liu, Sara Morini, Xin Xiong, Chuan Hong, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Everett Neil Rush, Yuk-Lam Ho, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai, Tianrun Cai:
Knowledge-Driven Online Multimodal Automated Phenotyping System. AMIA 2022 - [i10]Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik:
Multimodal Learning on Graphs for Disease Relation Extraction. CoRR abs/2203.08893 (2022) - [i9]Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai:
Federated Offline Reinforcement Learning. CoRR abs/2206.05581 (2022) - [i8]Tianxi Cai, Dong Xia, Luwan Zhang, Doudou Zhou:
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model. CoRR abs/2209.13762 (2022) - 2021
- [j20]Alon Geva, Molei Liu, Vidul Ayakulangara Panickan, Paul Avillach, Tianxi Cai, Kenneth D. Mandl:
A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J. Am. Medical Informatics Assoc. 28(6): 1265-1269 (2021) - [j19]Harrison G. Zhang, Boris P. Hejblum, Griffin M. Weber, Nathan P. Palmer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Katherine P. Liao, Isaac S. Kohane, Tianxi Cai:
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. J. Am. Medical Informatics Assoc. 28(12): 2582-2592 (2021) - [j18]Leonid L. Chepelev, Xuan Wang, Benjamin Gold, Clara-Lea Bonzel, Frank Rybicki Jr, Jennifer W. Uyeda, Adnan Sheikh, Dan Anderson, Jared Lindaman, Greg Mogel, Dimitrios Mitsouras, Mary C. Mahoney, Tianxi Cai, Frank J. Rybicki:
Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism. J. Digit. Imaging 34(2): 397-403 (2021) - [j17]Molei Liu, Yin Xia, Kelly Cho, Tianxi Cai:
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. J. Mach. Learn. Res. 22: 126:1-126:26 (2021) - [j16]Chuan Hong, Everett Neil Rush, Molei Liu, Doudou Zhou, Jiehuan Sun, Aaron Sonabend W., Victor M. Castro, Petra Schubert, Vidul Ayakulangara Panickan, Tianrun Cai, Lauren Costa, Zeling He, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. npj Digit. Medicine 4 (2021) - [i7]Doudou Zhou, Tianxi Cai, Junwei Lu:
BELT: Blockwise Missing Embedding Learning Transfomer. CoRR abs/2105.10360 (2021) - [i6]Sai Li, Tianxi Cai, Rui Duan:
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach. CoRR abs/2108.12112 (2021) - 2020
- [j15]Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai:
sureLDA: A multidisease automated phenotyping method for the electronic health record. J. Am. Medical Informatics Assoc. 27(8): 1235-1243 (2020) - [j14]Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schiver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane:
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020) - [c11]Yuri Ahuja, Chuan Hong, Zongqi Xia, Tianxi Cai:
SAMGEP: A Novel Method for Prediction of Phenotype Event Times Using the Electronic Health Record. AMIA 2020 - [c10]Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS 2020 - [c9]Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin M. Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane:
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data. PSB 2020: 295-306 - [i5]Aaron Sonabend W., Junwei Lu, Leo A. Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. CoRR abs/2006.13189 (2020) - [i4]Jessica L. Gronsbell, Molei Liu, Lu Tian, Tianxi Cai:
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. CoRR abs/2010.09443 (2020) - [i3]Aaron Sonabend W., Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai:
Semi-Supervised Off Policy Reinforcement Learning. CoRR abs/2012.04809 (2020)
2010 – 2019
- 2019
- [j13]Wenxin Ning, Stephanie Chan, Andrew Beam, Ming Yu, Alon Geva, Katherine P. Liao, Mary Mullen, Kenneth D. Mandl, Isaac S. Kohane, Tianxi Cai, Sheng Yu:
Feature extraction for phenotyping from semantic and knowledge resources. J. Biomed. Informatics 91 (2019) - [j12]Luwan Zhang, Yichi Zhang, Tianrun A. Cai, Yuri Ahuja, Zeling He, Yuk-Lam Ho, Andrew Beam, Kelly Cho, Robert J. Carroll, Joshua C. Denny, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai:
Automated grouping of medical codes via multiview banded spectral clustering. J. Biomed. Informatics 100 (2019) - [j11]Tianrun A. Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai, Katherine P. Liao:
EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research. BMC Medical Informatics Decis. Mak. 19(1): 226:1-226:7 (2019) - [c8]Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai:
sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record. AMIA 2019 - 2018
- [j10]Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai:
Enabling phenotypic big data with PheNorm. J. Am. Medical Informatics Assoc. 25(1): 54-60 (2018) - [j9]Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai, Michelle A. Williams:
Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Medical Informatics Decis. Mak. 18(1): 30:1-30:11 (2018) - [c7]Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Lauren Costa, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai:
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. AMIA 2018 - [i2]Andrew L. Beam, Benjamin Kompa, Inbar Fried, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane:
Clinical Concept Embeddings Learned from Massive Sources of Medical Data. CoRR abs/1804.01486 (2018) - 2017
- [j8]Xuefeng Wang, Zhenyu Zhang, Nathan Morris, Tianxi Cai, Seunggeun Lee, Chaolong Wang, Timothy W. Yu, Christopher A. Walsh, Xihong Lin:
Rare variant association test in family-based sequencing studies. Briefings Bioinform. 18(6): 954-961 (2017) - [j7]Sheng Yu, Abhishek Chakrabortty, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
Surrogate-assisted feature extraction for high-throughput phenotyping. J. Am. Medical Informatics Assoc. 24(e1): e143-e149 (2017) - [c6]Tianrun A. Cai, Andrew Beam, Stephanie Chan, Jacqueline Honerlaw, Yichi Zhang, David R. Gagnon, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai:
Improving EHR Chart Review Efficiency via Semantic Similarity Assessment. AMIA 2017 - [c5]David Cheng, Ashwin N. Ananthakrishnan, Tianxi Cai:
Using Electronic Health Records Data for Comparative Effectiveness Research. AMIA 2017 - [c4]Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
High-throughput Phenotyping via Denoised Normal Mixture Transformation. AMIA 2017 - 2016
- [j6]Matey Neykov, Jun S. Liu, Tianxi Cai:
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting. J. Mach. Learn. Res. 17: 70:1-70:32 (2016) - [j5]Matey Neykov, Jun S. Liu, Tianxi Cai:
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs. J. Mach. Learn. Res. 17: 87:1-87:37 (2016) - [c3]Alyssa P. Goodson, Andrew Cagan, Vivian S. Gainer, Christopher D. Herrick, Kelly Bell, Tianxi Cai, Shawn N. Murphy:
Defining a Statistically Valid Type 2 Diabetes Cohort in the Partners HealthCare EMR. CRI 2016 - 2015
- [j4]Sheng Yu, Katherine P. Liao, Stanley Y. Shaw, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. J. Am. Medical Informatics Assoc. 22(5): 993-1000 (2015) - [c2]Uri Kartoun, Vishesh Kumar, Su-Chun Cheng, Sheng Yu, Katherine P. Liao, Elizabeth W. Karlson, Ashwin N. Ananthakrishnan, Zongqi Xia, Vivian S. Gainer, Andrew Cagan, Guergana Savova, Pei J. Chen, Shawn N. Murphy, Susanne E. Churchill, Isaac S. Kohane, Peter Szolovits, Tianxi Cai, Stanley Y. Shaw:
Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records. AMIA 2015 - [c1]Shawn N. Murphy, Vivian S. Gainer, Victor M. Castro, Alyssa P. Goodson, Lori C. Phillips, Sheng Yu, Tianxi Cai:
Computable Phenotypes enabled by the i2b2 Validation Platform. AMIA 2015 - 2014
- [j3]Sheng Yu, Kanako K. Kumamaru, Elizabeth George, Ruth M. Dunne, Arash Bedayat, Matey Neykov, Andetta R. Hunsaker, Karin E. Dill, Tianxi Cai, Frank J. Rybicki:
Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. J. Biomed. Informatics 52: 386-393 (2014) - 2013
- [i1]Sheng Yu, Tianxi Cai:
A Short Introduction to MiniNLP. CoRR abs/1311.6063 (2013) - 2012
- [j2]Robert J. Carroll, William K. Thompson, Anne E. Eyler, Arthur M. Mandelin, Tianxi Cai, Raquel M. Zink, Jennifer A. Pacheco, Chad S. Boomershine, Thomas A. Lasko, Hua Xu, Elizabeth W. Karlson, Raúl G. Pérez, Vivian S. Gainer, Shawn N. Murphy, Eric M. Ruderman, Richard M. Pope, Robert M. Plenge, Abel N. Kho, Katherine P. Liao, Joshua C. Denny:
Portability of an algorithm to identify rheumatoid arthritis in electronic health records. J. Am. Medical Informatics Assoc. 19(e1) (2012)
2000 – 2009
- 2008
- [j1]Bo Jiang, Xuegong Zhang, Tianxi Cai:
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers. J. Mach. Learn. Res. 9: 521-540 (2008)
Coauthor Index
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