z-logo
open-access-imgOpen Access
Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach
Author(s) -
Ronald Wihal Oei,
Wynne Hsu,
Mong Li Lee,
Ngiap Chuan Tan
Publication year - 2022
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocac212
Subject(s) - convolutional neural network , computer science , deep learning , domain knowledge , artificial intelligence , recurrent neural network , domain (mathematical analysis) , trajectory , machine learning , medicine , artificial neural network , mathematics , mathematical analysis , physics , astronomy

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom