CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Filters
1 research outputs found
Additional file 1 of Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth
Author
Abin Abraham (13874116)
Antonis Rokas (140328)
+10 more
Brian Le (592336)
Cosmin A. Bejan (13874128)
Digna R. Velez-Edwards (13874119)
Idit Kosti (114827)
J. M. Newton (13874125)
John A. Capra (6848420)
Lea K. Davis (13874122)
Louis J. Muglia (7841168)
Marina Sirota (87296)
Peter Straub (9983624)
Publication venue
Publication date
01/01/2022
Field of study
No full text
Additional file 1. Supplementary figures, tables, and methods
PubMed Central
eScholarship - University of California
FigShare