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Kia Khezeli

Showing results (1-10 of 9) with videos related to

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Clinical Journal of the American Society of Nephrology : CJASN|February 7, 2023
Reinforcement Learning for Clinical ApplicationsKia Khezeli, Scott Siegel, Benjamin Shickel, et al.
Research Square|October 27, 2023
FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groupsJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Scientific Reports|July 29, 2024
Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial biasJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Frontiers in Digital Health|November 28, 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networksBenjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|April 8, 2024
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health RecordsMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Artificial Intelligence in Medicine|June 15, 2024
Transformers and large language models in healthcare: A reviewSubhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, et al.
Research Square|August 16, 2024
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction ModelMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Nature Communications|August 8, 2025
Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modellingMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Journal of Medical Internet Research|August 27, 2021
COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and ValidationSaranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Clinical Journal of the American Society of Nephrology : CJASN|February 7, 2023
Reinforcement Learning for Clinical ApplicationsKia Khezeli, Scott Siegel, Benjamin Shickel, et al.
Research Square|October 27, 2023
FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groupsJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Scientific Reports|July 29, 2024
Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial biasJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Frontiers in Digital Health|November 28, 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networksBenjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|April 8, 2024
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health RecordsMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Artificial Intelligence in Medicine|June 15, 2024
Transformers and large language models in healthcare: A reviewSubhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, et al.
Research Square|August 16, 2024
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction ModelMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Nature Communications|August 8, 2025
Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modellingMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Journal of Medical Internet Research|August 27, 2021
COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and ValidationSaranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, et al.
Pageof 1