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 (41-50 of 105) with videos related to

Pageof 11
Sort By:
Journal of Biomedical Informatics|January 19, 2016
The genomic CDS sandbox: An assessment among domain expertsAyesha Aziz, Kensaku Kawamoto, Karen Eilbeck, et al.
Gigascience|September 11, 2021
Desiderata for the development of next-generation electronic health record phenotype librariesMartin Chapman, Shahzad Mumtaz, Luke V Rasmussen, et al.
European Journal of Clinical Microbiology & Infectious Diseases : Official Publication of the European Society of Clinical Microbiology|May 2, 2025
Antibiotic de-escalation patterns and outcomes in critically ill patients with suspected pneumonia as informed by bronchoalveolar lavage resultsMengou Zhu, Chiagozie I Pickens, Nikolay S Markov, et al.
JAMIA Open|February 7, 2020
Challenges to electronic clinical quality measurement using third-party platforms in primary care practices: the healthy hearts in the heartland experienceFaraz S Ahmad, Luke V Rasmussen, Stephen D Persell, et al.
Medrxiv : the Preprint Server for Health Sciences|September 24, 2024
Antibiotic De-escalation Patterns and Outcomes in Critically Ill Patients with Suspected Pneumonia as Informed by Bronchoalveolar Lavage ResultsMengou Zhu, Chiagozie I Pickens, Nikolay S Markov, et al.
Journal of Biomedical Informatics|January 9, 2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networksZhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, et al.
Journal of Biomedical Informatics|July 10, 2016
Developing a data element repository to support EHR-driven phenotype algorithm authoring and executionGuoqian Jiang, Richard C Kiefer, Luke V Rasmussen, et al.
Learning Health Systems|October 21, 2020
Subphenotyping depression using machine learning and electronic health recordsZhenxing Xu, Fei Wang, Prakash Adekkanattu, et al.
Learning Health Systems|October 21, 2020
Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health recordsJie Xu, Fei Wang, Zhenxing Xu, et al.
Journal of Clinical and Translational Science|February 26, 2026
Going beyond the technology: Considerations in translating electronic case report formsAmy E Krefman, Luke V Rasmussen, Crystal Santillanes, et al.
Pageof 11

Showing results (41-50 of 105) with videos related to

Sort By:
Pageof 11
Journal of Biomedical Informatics|January 19, 2016
The genomic CDS sandbox: An assessment among domain expertsAyesha Aziz, Kensaku Kawamoto, Karen Eilbeck, et al.
Gigascience|September 11, 2021
Desiderata for the development of next-generation electronic health record phenotype librariesMartin Chapman, Shahzad Mumtaz, Luke V Rasmussen, et al.
European Journal of Clinical Microbiology & Infectious Diseases : Official Publication of the European Society of Clinical Microbiology|May 2, 2025
Antibiotic de-escalation patterns and outcomes in critically ill patients with suspected pneumonia as informed by bronchoalveolar lavage resultsMengou Zhu, Chiagozie I Pickens, Nikolay S Markov, et al.
JAMIA Open|February 7, 2020
Challenges to electronic clinical quality measurement using third-party platforms in primary care practices: the healthy hearts in the heartland experienceFaraz S Ahmad, Luke V Rasmussen, Stephen D Persell, et al.
Medrxiv : the Preprint Server for Health Sciences|September 24, 2024
Antibiotic De-escalation Patterns and Outcomes in Critically Ill Patients with Suspected Pneumonia as Informed by Bronchoalveolar Lavage ResultsMengou Zhu, Chiagozie I Pickens, Nikolay S Markov, et al.
Journal of Biomedical Informatics|January 9, 2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networksZhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, et al.
Journal of Biomedical Informatics|July 10, 2016
Developing a data element repository to support EHR-driven phenotype algorithm authoring and executionGuoqian Jiang, Richard C Kiefer, Luke V Rasmussen, et al.
Learning Health Systems|October 21, 2020
Subphenotyping depression using machine learning and electronic health recordsZhenxing Xu, Fei Wang, Prakash Adekkanattu, et al.
Learning Health Systems|October 21, 2020
Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health recordsJie Xu, Fei Wang, Zhenxing Xu, et al.
Journal of Clinical and Translational Science|February 26, 2026
Going beyond the technology: Considerations in translating electronic case report formsAmy E Krefman, Luke V Rasmussen, Crystal Santillanes, et al.
Pageof 11