Prm113 - Prediction Model for Identifying Patients With Lipodystrophy in Electronic Health Records

Value in Health - United Kingdom
doi 10.1016/j.jval.2018.09.2233
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

An Automated Approach to Identifying Patients With Dementia Using Electronic Medical Records

Journal of the American Geriatrics Society
GerontologyGeriatrics
2017English

A Model for Blockchain-Based Distributed Electronic Health Records

IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET
2018English

Utilizing Home Healthcare Electronic Health Records for Telehomecare Patients With Heart Failure

CIN - Computers Informatics Nursing
MedicineNursingHealth Informatics
2016English

Google Launches Free Electronic Health Records Service for Patients

BMJ
2008English

Identifying Veterans Using Electronic Health Records in the United Kingdom: A Feasibility Study

Healthcare
2019English

Evidential MACE Prediction of Acute Coronary Syndrome Using Electronic Health Records

BMC Medical Informatics and Decision Making
Health PolicyHealth Informatics
2019English

Identifying Undiagnosed Diabetes: Cross-Sectional Survey of 3.6 Million Patients' Electronic Records

British Journal of General Practice
MedicineFamily Practice
2008English

Security Techniques for the Electronic Health Records

Journal of Medical Systems
Health Information ManagementMedicineInformation SystemsHealth Informatics
2017English

Using Electronic Health Records for Public Health Hypertension Surveillance

Online Journal of Public Health Informatics
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy