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David J Cronkite

Showing results (1-10 of 19) with videos related to

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Methods of Information in Medicine|July 14, 2016
Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identificationDavid S Carrell, David J Cronkite, Bradley A Malin, et al.
Child Abuse & Neglect|February 9, 2023
Using natural language processing to identify child maltreatment in health systemsSonya Negriff, Frances L Lynch, David J Cronkite, et al.
Journal of the American Medical Informatics Association : JAMIA|August 8, 2019
The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sightDavid S Carrell, David J Cronkite, Muqun Rachel Li, et al.
Journal of the American Medical Informatics Association : JAMIA|September 15, 2020
Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readersDavid S Carrell, Bradley A Malin, David J Cronkite, et al.
American Journal of Epidemiology|May 16, 2024
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of International Classification of Diseases, Tenth Revision, Clinical Modification codesBrian Hazlehurst, David S Carrell, Maralyssa A Bann, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Improving physical activity among prostate cancer survivors through a peer-based digital walking programSavitha Sangameswaran, Reggie Casanova-Perez, Harsh Patel, et al.
BMC Medical Informatics and Decision Making|May 13, 2022
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screeningRobert B Penfold, David S Carrell, David J Cronkite, et al.
The Permanente Journal|September 2, 2024
Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine LearningIcelini Stavers-Sosa, David J Cronkite, Lawrence D Gerstley, et al.
BMC Psychiatry|February 10, 2026
Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record dataBen J Marafino, Andrea H Kline-Simon, Icelini Stavers-Sosa, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|June 8, 2026
Age-related macular degeneration severity and risk of Alzheimer's disease in older adults in a prospective, community-based cohort studyChloe A Krakauer, Luke Reilly, Yu-Ru Su, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Methods of Information in Medicine|July 14, 2016
Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identificationDavid S Carrell, David J Cronkite, Bradley A Malin, et al.
Child Abuse & Neglect|February 9, 2023
Using natural language processing to identify child maltreatment in health systemsSonya Negriff, Frances L Lynch, David J Cronkite, et al.
Journal of the American Medical Informatics Association : JAMIA|August 8, 2019
The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sightDavid S Carrell, David J Cronkite, Muqun Rachel Li, et al.
Journal of the American Medical Informatics Association : JAMIA|September 15, 2020
Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readersDavid S Carrell, Bradley A Malin, David J Cronkite, et al.
American Journal of Epidemiology|May 16, 2024
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of International Classification of Diseases, Tenth Revision, Clinical Modification codesBrian Hazlehurst, David S Carrell, Maralyssa A Bann, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Improving physical activity among prostate cancer survivors through a peer-based digital walking programSavitha Sangameswaran, Reggie Casanova-Perez, Harsh Patel, et al.
BMC Medical Informatics and Decision Making|May 13, 2022
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screeningRobert B Penfold, David S Carrell, David J Cronkite, et al.
The Permanente Journal|September 2, 2024
Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine LearningIcelini Stavers-Sosa, David J Cronkite, Lawrence D Gerstley, et al.
BMC Psychiatry|February 10, 2026
Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record dataBen J Marafino, Andrea H Kline-Simon, Icelini Stavers-Sosa, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|June 8, 2026
Age-related macular degeneration severity and risk of Alzheimer's disease in older adults in a prospective, community-based cohort studyChloe A Krakauer, Luke Reilly, Yu-Ru Su, et al.
Pageof 2