Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Luke V Rasmussen

Showing results (61-70 of 105) with videos related to

Pageof 11
Sort By:
BMJ Open|May 15, 2023
Implementation of a culturally competent <i>APOL1</i> genetic testing programme into living donor evaluation: A two-site, non-randomised, pre-post trial designJustin D Smith, Akansha Agrawal, Catherine Wicklund, et al.
Journal of the American Medical Informatics Association : JAMIA|March 28, 2013
Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE networkKatherine M Newton, Peggy L Peissig, Abel Ngo Kho, et al.
Medrxiv : the Preprint Server for Health Sciences|August 12, 2025
Development of a pilot machine learning model to predict successful cure in critically ill patients with community-acquired pneumoniaMengou Zhu, Wan-Ting Liao, Alec Peltekian, et al.
Journal of the American Medical Informatics Association : JAMIA|July 8, 2022
Design and validation of a FHIR-based EHR-driven phenotyping toolboxPascal S Brandt, Jennifer A Pacheco, Prakash Adekkanattu, et al.
CHEST Critical Care|March 30, 2026
Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired PneumoniaMengou Zhu, Wan-Ting Liao, Alec Peltekian, et al.
Medrxiv : the Preprint Server for Health Sciences|January 27, 2025
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patientsVijeeth Guggilla, Mengjia Kang, Melissa J Bak, et al.
Scientific Reports|January 7, 2023
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site studyPrakash Adekkanattu, Luke V Rasmussen, Jennifer A Pacheco, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational StudyPrakash Adekkanattu, Guoqian Jiang, Yuan Luo, et al.
Scientific Reports|May 19, 2023
Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health recordsJie Xu, Fei Wang, Chengxi Zang, et al.
Journal of the American Medical Informatics Association : JAMIA|September 22, 2025
Large language models accurately identify immunosuppression in intensive care unit patientsVijeeth Guggilla, Mengjia Kang, Melissa J Bak, et al.
Pageof 11

Showing results (61-70 of 105) with videos related to

Sort By:
Pageof 11
BMJ Open|May 15, 2023
Implementation of a culturally competent <i>APOL1</i> genetic testing programme into living donor evaluation: A two-site, non-randomised, pre-post trial designJustin D Smith, Akansha Agrawal, Catherine Wicklund, et al.
Journal of the American Medical Informatics Association : JAMIA|March 28, 2013
Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE networkKatherine M Newton, Peggy L Peissig, Abel Ngo Kho, et al.
Medrxiv : the Preprint Server for Health Sciences|August 12, 2025
Development of a pilot machine learning model to predict successful cure in critically ill patients with community-acquired pneumoniaMengou Zhu, Wan-Ting Liao, Alec Peltekian, et al.
Journal of the American Medical Informatics Association : JAMIA|July 8, 2022
Design and validation of a FHIR-based EHR-driven phenotyping toolboxPascal S Brandt, Jennifer A Pacheco, Prakash Adekkanattu, et al.
CHEST Critical Care|March 30, 2026
Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired PneumoniaMengou Zhu, Wan-Ting Liao, Alec Peltekian, et al.
Medrxiv : the Preprint Server for Health Sciences|January 27, 2025
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patientsVijeeth Guggilla, Mengjia Kang, Melissa J Bak, et al.
Scientific Reports|January 7, 2023
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site studyPrakash Adekkanattu, Luke V Rasmussen, Jennifer A Pacheco, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational StudyPrakash Adekkanattu, Guoqian Jiang, Yuan Luo, et al.
Scientific Reports|May 19, 2023
Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health recordsJie Xu, Fei Wang, Chengxi Zang, et al.
Journal of the American Medical Informatics Association : JAMIA|September 22, 2025
Large language models accurately identify immunosuppression in intensive care unit patientsVijeeth Guggilla, Mengjia Kang, Melissa J Bak, et al.
Pageof 11