Identification of Determinants of Progression to Type 2 Diabetes Using Electronic Health Records and ‘Big Data’ Analytics

Value in Health - United Kingdom
doi 10.1016/j.jval.2014.03.1413
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Predicting Comorbidities of Epilepsy Patients Using Big Data From Electronic Health Records Combined With Biomedical Knowledge

2017English

A Bayesian Network Model for Predicting Type 2 Diabetes Risk Based on Electronic Health Records

Modern Physics Letters B
Nonlinear PhysicsCondensed Matter PhysicsStatistical
2017English

Prediction of Breast Cancer Using Big Data Analytics

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

The Potential for Big Data in Type 2 Diabetes

Archives of Community Medicine and Public Health
2019English

Drought Prediction and Management Using Big Data Analytics

International Journal of Computer Applications
2017English

Leveraging Electronic Health Records and Administrative Datasets to Understand Social Determinants of Health: Opportunities and Challenges

International Journal of Population Data Science
2019English

“Big Data” and the Electronic Health Record

Yearbook of medical informatics
Medicine
2014English

Big Data in Mental Health Research – Do the N S Justify the Means? Using Large Data-Sets of Electronic Health Records for Mental Health Research

BJPsych Bulletin
PsychiatryMental Health
2017English

Building Electronic Health Record Using Voice Recognition and Big Data Techniques

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy