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JAMIA Open
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February 23, 2026
Revealing the impact of COVID-19 on mental health through machine learning
Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni
JAMIA Open
|
February 23, 2026
Cognitive readiness of nurses regarding artificial intelligence predictions: understanding through the dual lens of verbatim and gist knowledge
Insook Cho, Soyun Shim, Hyunchul Park
JAMIA Open
|
February 23, 2026
Enhancing cause of death prediction: development and validation of machine learning models using multimodal data across multiple health-care sites
Mohammed Al-Garadi, Rishi J Desai, Kerry Ngan, et al.
JAMIA Open
|
June 2, 2023
Implications of resampling data to address the class imbalance problem (IRCIP): an evaluation of impact on performance between classification algorithms in medical data
Koen Welvaars, Jacobien H F Oosterhoff, Michel P J van den Bekerom, et al.
JAMIA Open
|
March 18, 2026
Clinical validation of MyCog Mobile: development of a parsimonious and clinically interpretable prediction model for mild cognitive impairment
Stephanie Ruth Young, Elizabeth M Dworak, Katherina Hauner, et al.
JAMIA Open
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February 9, 2024
Cumulated time to chart closure: a novel electronic health record-derived metric associated with clinician burnout
Madhura Shah, Sofia De Arrigunaga, Leah S Forman, et al.
JAMIA Open
|
March 15, 2024
Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data
Ralph Ward, Jihad S Obeid, Lindsey Jennings, et al.
JAMIA Open
|
March 6, 2024
Enhanced SARS-CoV-2 case prediction using public health data and machine learning models
Bradley S Price, Maryam Khodaverdi, Brian Hendricks, et al.
JAMIA Open
|
July 24, 2023
CardinalKit: open-source standards-based, interoperable mobile development platform to help translate the promise of digital health
Oliver Aalami, Mike Hittle, Vishnu Ravi, et al.
JAMIA Open
|
May 30, 2023
Common data model for sickle cell disease surveillance: considerations and implications
Matthew P Smeltzer, Sarah L Reeves, William O Cooper, et al.
Page
of 101
Search research articles
Search
Showing results (961-970 of 1,006) with videos related to
Sort By:
Page
of 101
JAMIA Open
|
February 23, 2026
Revealing the impact of COVID-19 on mental health through machine learning
Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni
JAMIA Open
|
February 23, 2026
Cognitive readiness of nurses regarding artificial intelligence predictions: understanding through the dual lens of verbatim and gist knowledge
Insook Cho, Soyun Shim, Hyunchul Park
JAMIA Open
|
February 23, 2026
Enhancing cause of death prediction: development and validation of machine learning models using multimodal data across multiple health-care sites
Mohammed Al-Garadi, Rishi J Desai, Kerry Ngan, et al.
JAMIA Open
|
June 2, 2023
Implications of resampling data to address the class imbalance problem (IRCIP): an evaluation of impact on performance between classification algorithms in medical data
Koen Welvaars, Jacobien H F Oosterhoff, Michel P J van den Bekerom, et al.
JAMIA Open
|
March 18, 2026
Clinical validation of MyCog Mobile: development of a parsimonious and clinically interpretable prediction model for mild cognitive impairment
Stephanie Ruth Young, Elizabeth M Dworak, Katherina Hauner, et al.
JAMIA Open
|
February 9, 2024
Cumulated time to chart closure: a novel electronic health record-derived metric associated with clinician burnout
Madhura Shah, Sofia De Arrigunaga, Leah S Forman, et al.
JAMIA Open
|
March 15, 2024
Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data
Ralph Ward, Jihad S Obeid, Lindsey Jennings, et al.
JAMIA Open
|
March 6, 2024
Enhanced SARS-CoV-2 case prediction using public health data and machine learning models
Bradley S Price, Maryam Khodaverdi, Brian Hendricks, et al.
JAMIA Open
|
July 24, 2023
CardinalKit: open-source standards-based, interoperable mobile development platform to help translate the promise of digital health
Oliver Aalami, Mike Hittle, Vishnu Ravi, et al.
JAMIA Open
|
May 30, 2023
Common data model for sickle cell disease surveillance: considerations and implications
Matthew P Smeltzer, Sarah L Reeves, William O Cooper, et al.
Page
of 101