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

Walter Nelson

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
The Canadian Journal of Cardiology|September 17, 2021
Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in CardiologyJeremy Petch, Shuang Di, Walter Nelson
Frontiers in Genetics|May 24, 2019
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyWalter Nelson, Marinka Zitnik, Bo Wang, et al.
Clinical Trials (London, England)|November 26, 2024
Detecting irregularities in randomized controlled trials using machine learningWalter Nelson, Jeremy Petch, Jonathan Ranisau, et al.
JMIR Formative Research|June 29, 2023
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and ValidationWalter Nelson, Nityan Khanna, Mohamed Ibrahim, et al.
Journal of Medical Internet Research|February 4, 2021
Machine Learning-Based Early Warning Systems for Clinical Deterioration: Systematic Scoping ReviewSankavi Muralitharan, Walter Nelson, Shuang Di, et al.
Journal of Diabetes|January 15, 2023
Nailfold capillaroscopy and deep learning in diabetesReema Shah, Jeremy Petch, Walter Nelson, et al.
Contemporary Clinical Trials|October 17, 2022
Machine learning for detecting centre-level irregularities in randomized controlled trials: A pilot studyJeremy Petch, Walter Nelson, Shuang Di, et al.
Journal of Experimental Therapeutics & Oncology|February 21, 2009
Schedule shifts, cancer and longevity: good, bad or indifferent?Germaine Cornélissen, Julia Halberg, Franz Halberg, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|October 9, 2021
The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning ApproachTommy Ivanics, Walter Nelson, Madhukar S Patel, et al.
Nature Communications|August 25, 2023
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasetsMatteo Di Scipio, Mohammad Khan, Shihong Mao, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
The Canadian Journal of Cardiology|September 17, 2021
Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in CardiologyJeremy Petch, Shuang Di, Walter Nelson
Frontiers in Genetics|May 24, 2019
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyWalter Nelson, Marinka Zitnik, Bo Wang, et al.
Clinical Trials (London, England)|November 26, 2024
Detecting irregularities in randomized controlled trials using machine learningWalter Nelson, Jeremy Petch, Jonathan Ranisau, et al.
JMIR Formative Research|June 29, 2023
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and ValidationWalter Nelson, Nityan Khanna, Mohamed Ibrahim, et al.
Journal of Medical Internet Research|February 4, 2021
Machine Learning-Based Early Warning Systems for Clinical Deterioration: Systematic Scoping ReviewSankavi Muralitharan, Walter Nelson, Shuang Di, et al.
Journal of Diabetes|January 15, 2023
Nailfold capillaroscopy and deep learning in diabetesReema Shah, Jeremy Petch, Walter Nelson, et al.
Contemporary Clinical Trials|October 17, 2022
Machine learning for detecting centre-level irregularities in randomized controlled trials: A pilot studyJeremy Petch, Walter Nelson, Shuang Di, et al.
Journal of Experimental Therapeutics & Oncology|February 21, 2009
Schedule shifts, cancer and longevity: good, bad or indifferent?Germaine Cornélissen, Julia Halberg, Franz Halberg, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|October 9, 2021
The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning ApproachTommy Ivanics, Walter Nelson, Madhukar S Patel, et al.
Nature Communications|August 25, 2023
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasetsMatteo Di Scipio, Mohammad Khan, Shihong Mao, et al.
Pageof 2