Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis
Authors
Keywords
Rheumatoid arthritis, Primary care, Algorithms, Machine learning algorithms, Diagnostic medicine, Rheumatology, Decision trees, Electronic medical records
Journal
PLoS One
Volume 11, Issue 5, Pages e0154515
Publisher
Public Library of Science (PLoS)
Online
2016-05-03
DOI
10.1371/journal.pone.0154515
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- (2015) Cathie Sudlow et al. PLOS MEDICINE
- Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature
- (2015) Thomas J MacGillivray et al. PLoS One
- A GWAS Study on Liver Function Test Using eMERGE Network Participants
- (2015) Bahram Namjou et al. PLoS One
- Comparison of Electronic Health Record System Functionalities to support the patient recruitment process in clinical trials
- (2014) Björn Schreiweis et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: A privacy-protecting remote access system for health-related research and evaluation
- (2014) Kerina H. Jones et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Genetic Variants Associated with Serum Thyroid Stimulating Hormone (TSH) Levels in European Americans and African Americans from the eMERGE Network
- (2014) Jennifer R. Malinowski et al. PLoS One
- Local Modelling Techniques for Assessing Micro-Level Impacts of Risk Factors in Complex Data: Understanding Health and Socioeconomic Inequalities in Childhood Educational Attainments
- (2014) Shang-Ming Zhou et al. PLoS One
- Childhood epilepsy recorded in primary care in the UK
- (2013) W. H. Meeraus et al. ARCHIVES OF DISEASE IN CHILDHOOD
- The Electronic Medical Records and Genomics (eMERGE) Network: past, present and future
- (2013) Omri Gottesman et al. GENETICS IN MEDICINE
- Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory: Table 1
- (2013) Rachel L Richesson et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- A review of approaches to identifying patient phenotype cohorts using electronic health records
- (2013) Chaitanya Shivade et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Optimising Use of Electronic Health Records to Describe the Presentation of Rheumatoid Arthritis in Primary Care: A Strategy for Developing Code Lists
- (2013) Amanda Nicholson et al. PLoS One
- Prevalence and characteristics in coding, classification and diagnosis of diabetes in primary care
- (2013) Samuel Seidu et al. POSTGRADUATE MEDICAL JOURNAL
- A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data
- (2013) Cecilia P. Chung et al. VACCINE
- Mining electronic health records: towards better research applications and clinical care
- (2012) Peter B. Jensen et al. NATURE REVIEWS GENETICS
- Identification of rheumatoid arthritis patients using an administrative database: A Veterans Affairs study
- (2012) Bernard Ng et al. ARTHRITIS CARE & RESEARCH
- Validation of rheumatoid arthritis diagnoses in health care utilization data
- (2011) Seo Young Kim et al. ARTHRITIS RESEARCH & THERAPY
- Maximal conditional chi-square importance in random forests
- (2010) Minghui Wang et al. BIOINFORMATICS
- Routine data from hospital information systems can support patient recruitment for clinical studies
- (2010) Martin Dugas et al. Clinical Trials
- High-Dimensional Variable Selection for Survival Data
- (2010) Hemant Ishwaran et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- The SAIL databank: linking multiple health and social care datasets
- (2009) Ronan A Lyons et al. BMC Medical Informatics and Decision Making
- How accurate are diagnoses for rheumatoid arthritis and juvenile idiopathic arthritis in the general practice research database?
- (2008) S. L. Thomas et al. ARTHRITIS AND RHEUMATISM
- Identifying undiagnosed diabetes: cross-sectional survey of 3.6 million patients' electronic records
- (2008) Tim A Holt et al. BRITISH JOURNAL OF GENERAL PRACTICE
- Accuracy and completeness of electronic patient records in primary care
- (2008) A. Majeed et al. FAMILY PRACTICE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started