EHR foundation models improve robustness in the presence of temporal distribution shift
Guo, Lin Lawrence, Steinberg, Ethan, Fleming, Scott Lanyon, Posada, Jose, Lemmon, Joshua, Pfohl, Stephen R, Shah, Nigam, Fries, Jason, Sung, Lillian
Published in Scientific reports (07.03.2023)
Published in Scientific reports (07.03.2023)
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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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A multi-center study on the adaptability of a shared foundation model for electronic health records
Guo, Lin Lawrence, Fries, Jason, Steinberg, Ethan, Fleming, Scott Lanyon, Morse, Keith, Aftandilian, Catherine, Posada, Jose, Shah, Nigam, Sung, Lillian
Published in NPJ digital medicine (27.06.2024)
Published in NPJ digital medicine (27.06.2024)
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Journal Article
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records
Lin Lawrence Guo, Fries, Jason, Steinberg, Ethan, Scott Lanyon Fleming, Morse, Keith, Aftandilian, Catherine, Posada, Jose, Shah, Nigam, Sung, Lillian
Published in arXiv.org (23.04.2024)
Published in arXiv.org (23.04.2024)
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Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study
Tariq, Qandeel, Fleming, Scott Lanyon, Schwartz, Jessey Nicole, Dunlap, Kaitlyn, Corbin, Conor, Washington, Peter, Kalantarian, Haik, Khan, Naila Z, Darmstadt, Gary L, Wall, Dennis Paul
Published in Journal of medical Internet research (24.04.2019)
Published in Journal of medical Internet research (24.04.2019)
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Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks
Lemmon, Joshua, Guo, Lin Lawrence, Steinberg, Ethan, Morse, Keith E, Fleming, Scott Lanyon, Aftandilian, Catherine, Pfohl, Stephen R, Posada, Jose D, Shah, Nigam, Fries, Jason, Sung, Lillian
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
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Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine
Guo, Lin Lawrence, Pfohl, Stephen R., Fries, Jason, Posada, Jose, Fleming, Scott Lanyon, Aftandilian, Catherine, Shah, Nigam, Sung, Lillian
Published in Applied clinical informatics (01.08.2021)
Published in Applied clinical informatics (01.08.2021)
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Journal Article
Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine
Lemmon, Joshua, Guo, Lin Lawrence, Posada, Jose, Pfohl, Stephen R, Fries, Jason, Fleming, Scott Lanyon, Aftandilian, Catherine, Shah, Nigam, Sung, Lillian
Published in Methods of information in medicine (01.05.2023)
Published in Methods of information in medicine (01.05.2023)
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Performance of a Commonly Used Pressure Injury Risk Model Under Changing Incidence
Fleming, Scott Lanyon, McFarlane, Kelly Heavner, Thapa, Isha, Johnson, Andrea K, Kruger, Jenna F, Shin, Andrew Y, Scheinker, David, Donnelly, Lane F
Published in Joint Commission journal on quality and patient safety (01.03.2022)
Published in Joint Commission journal on quality and patient safety (01.03.2022)
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