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Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

J. Lemmon, L. Guo, E. Steinberg, K. Morse, S. Fleming, C. Aftandilian, S. Pfohl, J. Posada, N. Shah, J. Fries, and L. Sung. J. Am. Medical Informatics Assoc., 30 (12): 2004-2011 (November 2023)

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Ethan gets

Henryk Ethan Vorast

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Using Ontologies To Improve Performance In Massively Multi-label Prediction Models.E. Steinberg, and P. Liu. CoRR, (2019)Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data.E. Steinberg, K. Jung, J. Fries, C. Corbin, S. Pfohl, and N. Shah. CoRR, (2020)The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.M. Wornow, Y. Xu, R. Thapa, B. Patel, E. Steinberg, S. Fleming, M. Pfeffer, J. Fries, and N. Shah. CoRR, (2023)The shaky foundations of large language models and foundation models for electronic health records.M. Wornow, Y. Xu, R. Thapa, B. Patel, E. Steinberg, S. Fleming, M. Pfeffer, J. Fries, and N. Shah. npj Digit. Medicine, (2023)INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.S. Huang, Z. Huo, E. Steinberg, C. Chiang, M. Lungren, C. Langlotz, S. Yeung, N. Shah, and J. Fries. CoRR, (2023)Instability in clinical risk stratification models using deep learning.D. Martinez, A. Yakubovich, M. Seneviratne, Á. Lelkes, A. Tyagi, J. Kemp, E. Steinberg, N. Downing, R. Li, K. Morse and 2 other author(s). ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 552-565. PMLR, (2022)Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.L. Guo, K. Morse, C. Aftandilian, E. Steinberg, J. Fries, J. Posada, S. Fleming, J. Lemmon, K. Jessa, N. Shah and 1 other author(s). BMC Medical Informatics Decis. Mak., 24 (1): 51 (December 2024)The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate.M. Bedgood, N. Rabbani, C. Brown, R. Goldstein, J. Carlson, E. Steinberg, A. Powell, N. Pageler, and K. Morse. Appl. Clin. Inform., 14 (2): 337-344 (March 2023)Computational drug repositioning of atorvastatin for ulcerative colitis.L. Bai, M. Scott, E. Steinberg, L. Kalesinskas, A. Habtezion, N. Shah, and P. Khatri. J. Am. Medical Informatics Assoc., 28 (11): 2325-2335 (2021)Language models are an effective representation learning technique for electronic health record data.E. Steinberg, K. Jung, J. Fries, C. Corbin, S. Pfohl, and N. Shah. J. Biomed. Informatics, (2021)

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Disambiguation of "Steinberg, Ethan"

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Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Please choose a person to relate this publication to

Ethan gets

Henryk Ethan Vorast

Henryk Ethan Vorast

Henryk Ethan Vorast

Henryk Ethan Vorast

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Steinberg, Ethan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Please choose a person to relate this publication to

Ethan gets

Henryk Ethan Vorast

Henryk Ethan Vorast

Henryk Ethan Vorast

Henryk Ethan Vorast

Other publications of authors with the same name

Disambiguation

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Chicago
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Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.