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Identification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model
Duong, Son Q., Zheng, Le, Xia, Minjie, Jin, Bo, Liu, Modi, Li, Zhen, Hao, Shiying, Alfreds, Shaun T., Sylvester, Karl G., Widen, Eric, Teuteberg, Jeffery J., McElhinney, Doff B., Ling, Xuefeng B.
Published in PloS one (10.12.2021)
Published in PloS one (10.12.2021)
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Journal Article
Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring
El Hajouji, Oualid, Sun, Ran S., Zammit, Alban, Humphreys, Keith, Asch, Steven M., Carroll, Ian, Curtin, Catherine M., Hernandez-Boussard, Tina
Published in PLoS computational biology (14.08.2023)
Published in PLoS computational biology (14.08.2023)
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Journal Article
Extracting information from the text of electronic medical records to improve case detection: a systematic review
Ford, Elizabeth, Carroll, John A, Smith, Helen E, Scott, Donia, Cassell, Jackie A
Published in Journal of the American Medical Informatics Association : JAMIA (01.09.2016)
Published in Journal of the American Medical Informatics Association : JAMIA (01.09.2016)
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Journal Article
MRI-Based Deep Learning Tools for MGMT Promoter Methylation Detection: A Thorough Evaluation
Robinet, Lucas, Siegfried, Aurore, Roques, Margaux, Berjaoui, Ahmad, Cohen-Jonathan Moyal, Elizabeth
Published in Cancers (12.04.2023)
Published in Cancers (12.04.2023)
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Journal Article
ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes
Gandomi, Amir, Wu, Phil, Clement, Daniel R, Xing, Jinyan, Aviv, Rachel, Federbush, Matthew, Yuan, Zhiyong, Jing, Yajun, Wei, Guangyao, Hajizadeh, Negin
Published in BMC medical informatics and decision making (16.07.2024)
Published in BMC medical informatics and decision making (16.07.2024)
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Journal Article
Machine learning algorithm for early detection of end-stage renal disease
Segal, Zvi, Kalifa, Dan, Radinsky, Kira, Ehrenberg, Bar, Elad, Guy, Maor, Gal, Lewis, Maor, Tibi, Muhammad, Korn, Liat, Koren, Gideon
Published in BMC nephrology (27.11.2020)
Published in BMC nephrology (27.11.2020)
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Journal Article
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
Lorman, Vitaly, Razzaghi, Hanieh, Song, Xing, Morse, Keith, Utidjian, Levon, Allen, Andrea J., Rao, Suchitra, Rogerson, Colin, Bennett, Tellen D., Morizono, Hiroki, Eckrich, Daniel, Jhaveri, Ravi, Huang, Yungui, Ranade, Daksha, Pajor, Nathan, Lee, Grace M., Forrest, Christopher B., Bailey, L. Charles
Published in PloS one (10.08.2023)
Published in PloS one (10.08.2023)
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Journal Article
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea
Yu, Na Hyeon, Shin, Daeun, Ryu, Ik Hee, Yoo, Tae Keun, Koh, Kyungmin
Published in BMC medical informatics and decision making (07.03.2025)
Published in BMC medical informatics and decision making (07.03.2025)
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Journal Article
Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning
Wang, Zhuoran, Shah, Anoop D., Tate, A. Rosemary, Denaxas, Spiros, Shawe-Taylor, John, Hemingway, Harry
Published in PloS one (19.01.2012)
Published in PloS one (19.01.2012)
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Journal Article
Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria
Cohen, Aaron M., Chamberlin, Steven, Deloughery, Thomas, Nguyen, Michelle, Bedrick, Steven, Meninger, Stephen, Ko, John J., Amin, Jigar J., Wei, Alex J., Hersh, William
Published in PloS one (02.07.2020)
Published in PloS one (02.07.2020)
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Journal Article
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Guo, Lin Lawrence, Morse, Keith E., Aftandilian, Catherine, Steinberg, Ethan, Fries, Jason, Posada, Jose, Fleming, Scott Lanyon, Lemmon, Joshua, Jessa, Karim, Shah, Nigam, Sung, Lillian
Published in BMC medical informatics and decision making (14.02.2024)
Published in BMC medical informatics and decision making (14.02.2024)
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Journal Article