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JAMIA open

Showing results (201-210 of 1,002) with videos related to

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JAMIA Open|September 16, 2024
In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient recordsRajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, et al.
JAMIA Open|September 16, 2024
Analysis toolkit for evaluation of drug titration practice in acute lymphoblastic leukemia maintenanceTushar Mungle, Ananya Mahadevan, Jayanta Mukhopadhyay, et al.
JAMIA Open|May 30, 2023
Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health recordsKathleen A McGinnis, Melissa Skanderson, Amy C Justice, et al.
JAMIA Open|February 25, 2026
Correction to: Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step
JAMIA Open|November 12, 2024
Indications of digital literacy during Latino-focused, community-based COVID-19 testing implementationPatric V Prado, Carina Arechiga, Kara Marson, et al.
JAMIA Open|November 12, 2024
Inbox message prioritization and management approaches in primary careNate C Apathy, Katelyn Hicks, Lucy Bocknek, et al.
JAMIA Open|November 13, 2024
Use of mobile applications and mental health services among veterans who received internet-connected tabletsAshley C Griffin, Liberty Greene, Cindie Slightam, et al.
JAMIA Open|November 7, 2024
A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes NowAmy C Justice, Benjamin McMahon, Ravi Madduri, et al.
JAMIA Open|October 21, 2024
CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicineKirubel Biruk Shiferaw, Irina Balaur, Danielle Welter, et al.
JAMIA Open|October 22, 2024
Acceptability of linking individual credit, financial, and public records data to healthcare records for suicide risk machine learning modelsRobert B Penfold, Hong Il Yoo, Julie E Richards, et al.
Pageof 101

Showing results (201-210 of 1,002) with videos related to

Sort By:
Pageof 101
JAMIA Open|September 16, 2024
In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient recordsRajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, et al.
JAMIA Open|September 16, 2024
Analysis toolkit for evaluation of drug titration practice in acute lymphoblastic leukemia maintenanceTushar Mungle, Ananya Mahadevan, Jayanta Mukhopadhyay, et al.
JAMIA Open|May 30, 2023
Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health recordsKathleen A McGinnis, Melissa Skanderson, Amy C Justice, et al.
JAMIA Open|February 25, 2026
Correction to: Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step
JAMIA Open|November 12, 2024
Indications of digital literacy during Latino-focused, community-based COVID-19 testing implementationPatric V Prado, Carina Arechiga, Kara Marson, et al.
JAMIA Open|November 12, 2024
Inbox message prioritization and management approaches in primary careNate C Apathy, Katelyn Hicks, Lucy Bocknek, et al.
JAMIA Open|November 13, 2024
Use of mobile applications and mental health services among veterans who received internet-connected tabletsAshley C Griffin, Liberty Greene, Cindie Slightam, et al.
JAMIA Open|November 7, 2024
A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes NowAmy C Justice, Benjamin McMahon, Ravi Madduri, et al.
JAMIA Open|October 21, 2024
CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicineKirubel Biruk Shiferaw, Irina Balaur, Danielle Welter, et al.
JAMIA Open|October 22, 2024
Acceptability of linking individual credit, financial, and public records data to healthcare records for suicide risk machine learning modelsRobert B Penfold, Hong Il Yoo, Julie E Richards, et al.
Pageof 101