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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

D. Ding, C. Simpson, S. Pfohl, D. Kale, K. Jung, and N. Shah. PSB, page 18-29. (2019)

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Gerhard Pfohl

Michael Pfohl

Ingeborg Pfohl

Thomas Pfohl

Klaus Pfohl

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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.D. Ding, C. Simpson, S. Pfohl, D. Kale, K. Jung, and N. Shah. PSB, page 18-29. (2019)Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare.S. Pfohl, Y. Xu, A. Foryciarz, N. Ignatiadis, J. Genkins, and N. Shah. FAccT, page 1039-1052. ACM, (2022)Predicting Inpatient Discharge Prioritization With Electronic Health Records.A. Avati, S. Pfohl, C. Lin, T. Nguyen, M. Zhang, P. Hwang, J. Wetstone, K. Jung, A. Ng, and N. Shah. CoRR, (2018)Considerations in the reliability and fairness audits of predictive models for advance care planning.J. Lu, A. Sattler, S. Wang, A. Khaki, A. Callahan, S. Fleming, R. Fong, B. Ehlert, R. Li, L. Shieh and 17 other author(s). Frontiers Digit. Health, (2022)Improving the Fairness of Chest X-ray Classifiers.H. Zhang, N. Dullerud, K. Roth, L. Oakden-Rayner, S. Pfohl, and M. Ghassemi. CHIL, volume 174 of Proceedings of Machine Learning Research, page 204-233. PMLR, (2022)Towards Expert-Level Medical Question Answering with Large Language Models.K. Singhal, T. Tu, J. Gottweis, R. Sayres, E. Wulczyn, L. Hou, K. Clark, S. Pfohl, H. Cole-Lewis, D. Neal and 21 other author(s). CoRR, (2023)Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk.S. Pfohl, B. Marafino, A. Coulet, F. Rodriguez, L. Palaniappan, and N. Shah. AIES, page 271-278. ACM, (2019)Machine Learning for Health (ML4H) 2021.S. Roy, S. Pfohl, G. Tadesse, L. Oala, F. Falck, Y. Zhou, L. Shen, G. Zamzmi, P. Mugambi, A. Zirikly and 2 other author(s). ML4H@NeurIPS, volume 158 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2021)The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.D. Ding, C. Simpson, S. Pfohl, D. Kale, K. Jung, and N. Shah. CoRR, (2018)Large Language Models Encode Clinical Knowledge.K. Singhal, S. Azizi, T. Tu, S. Mahdavi, J. Wei, H. Chung, N. Scales, A. Tanwani, H. Cole-Lewis, S. Pfohl and 20 other author(s). CoRR, (2022)

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Disambiguation of "Pfohl, Stephen"

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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

Please choose a person to relate this publication to

Gerhard Pfohl

Michael Pfohl

Ingeborg Pfohl

Thomas Pfohl

Klaus Pfohl

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pfohl, Stephen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

Please choose a person to relate this publication to

Gerhard Pfohl

Michael Pfohl

Ingeborg Pfohl

Thomas Pfohl

Klaus Pfohl

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
DIN 1505
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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.