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

Shamim Nemati

Showing results (11-20 of 130) with videos related to

Pageof 13
Sort By:
Computing in Cardiology|October 25, 2016
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical NotesMohammad M Ghassemi, Roger G Mark, Shamim Nemati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approachShamim Nemati, Mohammad M Ghassemi, Gari D Clifford
NPJ Digital Medicine|September 10, 2021
Artificial intelligence sepsis prediction algorithm learns to say "I don't know"Supreeth P Shashikumar, Gabriel Wardi, Atul Malhotra, et al.
IEEE Journal of Biomedical and Health Informatics|December 14, 2016
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time SeriesLi-Wei H Lehman, Roger G Mark, Shamim Nemati
Computing in Cardiology|January 1, 2015
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time SeriesLi-Wei H Lehman, Shamim Nemati, Roger G Mark
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Development of a Voice-Enabled Automated Sleep Survey SystemYang Qiu, Anwesh Mohanty, Robert L Owens, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Learning outcome-discriminative dynamics in multivariate physiological cohort time seriesShamim Nemati, Li-wei H Lehman, Ryan P Adams
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Contextual Embeddings from Clinical Notes Improves Prediction of SepsisFatemeh Amrollahi, Supreeth P Shashikumar, Fereshteh Razmi, et al.
Computing in Cardiology|January 1, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems ApproachLi-Wei Lehman, Mohammad Ghassemi, Jasper Snoek, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expressionSahar Harati, Andrea Crowell, Helen Mayberg, et al.
Pageof 13

Showing results (11-20 of 130) with videos related to

Sort By:
Pageof 13
Computing in Cardiology|October 25, 2016
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical NotesMohammad M Ghassemi, Roger G Mark, Shamim Nemati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approachShamim Nemati, Mohammad M Ghassemi, Gari D Clifford
NPJ Digital Medicine|September 10, 2021
Artificial intelligence sepsis prediction algorithm learns to say "I don't know"Supreeth P Shashikumar, Gabriel Wardi, Atul Malhotra, et al.
IEEE Journal of Biomedical and Health Informatics|December 14, 2016
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time SeriesLi-Wei H Lehman, Roger G Mark, Shamim Nemati
Computing in Cardiology|January 1, 2015
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time SeriesLi-Wei H Lehman, Shamim Nemati, Roger G Mark
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Development of a Voice-Enabled Automated Sleep Survey SystemYang Qiu, Anwesh Mohanty, Robert L Owens, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Learning outcome-discriminative dynamics in multivariate physiological cohort time seriesShamim Nemati, Li-wei H Lehman, Ryan P Adams
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Contextual Embeddings from Clinical Notes Improves Prediction of SepsisFatemeh Amrollahi, Supreeth P Shashikumar, Fereshteh Razmi, et al.
Computing in Cardiology|January 1, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems ApproachLi-Wei Lehman, Mohammad Ghassemi, Jasper Snoek, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expressionSahar Harati, Andrea Crowell, Helen Mayberg, et al.
Pageof 13