Learning endometriosis phenotypes from patient-generated data

by Iñigo Urteaga, Mollie McKillop, Noémie Elhadad
Published 2020-06-01

Redundancy-aware topic modeling for patient record notes.

by Raphael Cohen, Iddo Aviram, Michael Elhadad, Noémie Elhadad
Published 2014-01-01

Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.

by D J Albers, Noémie Elhadad, E Tabak, A Perotte, George Hripcsak
Published 2014-01-01

Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data

by Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad
Published 2020-05-01

Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information

by Joshua W. Joseph, Evan L. Leventhal, Anne V. Grossestreuer, Matthew L. Wong, Loren J. Joseph, Larry A. Nathanson, Michael W. Donnino, Noémie Elhadad, Leon D. Sanchez
Published 2020-10-01

Incorporating High-Frequency Physiologic Data Using Computational Dictionary Learning Improves Prediction of Delayed Cerebral Ischemia Compared to Existing Methods

by Murad Megjhani, Kalijah Terilli, Hans-Peter Frey, Angela G. Velazquez, Kevin William Doyle, Edward Sander Connolly, David Jinou Roh, Sachin Agarwal, Jan Claassen, Noemie Elhadad, Soojin Park
Published 2018-03-01

Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants

by Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean Mooney, Christine Suver, John Wilbanks, Lara Mangravite, Patrick J. Heagerty, Pat Areán, Larsson Omberg
Published 2020-02-01