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Showing results (51-60 of 57) with videos related to

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International Journal of Medical Informatics|November 6, 2021
Comparing automated vs. manual data collection for COVID-specific medications from electronic health recordsAndrew L Yin, Winston L Guo, Evan T Sholle, et al.
Research Square|March 22, 2023
Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER InitiativeChengxi Zang, Yu Hou, Edward Schenck, et al.
NPJ Digital Medicine|September 28, 2024
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRsPrakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, et al.
Medrxiv : the Preprint Server for Health Sciences|June 6, 2022
Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER InitiativeHao Zhang, Chengxi Zang, Zhenxing Xu, et al.
Research Square|April 1, 2024
Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site StudyPrakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, et al.
Journal of the American Medical Informatics Association : JAMIA|October 6, 2021
Extracting social determinants of health from electronic health records using natural language processing: a systematic reviewBraja G Patra, Mohit M Sharma, Veer Vekaria, et al.
Research Square|May 15, 2024
Long COVID incidence in adults and children between 2020 and 2023: a real-world data study from the RECOVER InitiativeHannah Mandel, Yun Yoo, Andrea Allen, et al.
Pageof 6

Showing results (51-60 of 57) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 57 results.
International Journal of Medical Informatics|November 6, 2021
Comparing automated vs. manual data collection for COVID-specific medications from electronic health recordsAndrew L Yin, Winston L Guo, Evan T Sholle, et al.
Research Square|March 22, 2023
Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER InitiativeChengxi Zang, Yu Hou, Edward Schenck, et al.
NPJ Digital Medicine|September 28, 2024
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRsPrakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, et al.
Medrxiv : the Preprint Server for Health Sciences|June 6, 2022
Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER InitiativeHao Zhang, Chengxi Zang, Zhenxing Xu, et al.
Research Square|April 1, 2024
Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site StudyPrakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, et al.
Journal of the American Medical Informatics Association : JAMIA|October 6, 2021
Extracting social determinants of health from electronic health records using natural language processing: a systematic reviewBraja G Patra, Mohit M Sharma, Veer Vekaria, et al.
Research Square|May 15, 2024
Long COVID incidence in adults and children between 2020 and 2023: a real-world data study from the RECOVER InitiativeHannah Mandel, Yun Yoo, Andrea Allen, et al.
Pageof 6