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Predictors affecting personal health information management skills
Sujin Kim
,
Erin Abner
Internal Medicine
Pathology and Lab Medicine
School of Information Science
Epidemiology & Environmental Health
Biostatistics
Gerontology
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Scopus citations
Overview
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Agricultural and Biological Sciences
Knowledge
100%
Information Management
100%
Prediction
100%
Information System
100%
Principal Component Analysis
66%
Surveys
66%
Regression Analysis
66%
Information
33%
Education
33%
Model
33%
Computer
33%
Patient Care
33%
Learning
33%
Nursing and Health Professions
Health Information Exchange
100%
Personal Health Record
100%
Prediction
100%
Principal Component Analysis
40%
Procedures
20%
Information System
20%
Computer
20%
Internal Consistency
20%
Prevention
20%
Self Report
20%
Linear Regression Analysis
20%
Regression Analysis
20%
Patient Care
20%
Medicine and Dentistry
Health
100%
Skill
100%
Electronic Patient Record
55%
Principal Component Analysis
22%
Attitude to Health
22%
Regression Analysis
11%
Patient Care
11%
Learning
11%
Self Report
11%
Linear Regression Analysis
11%
Psychology
Health
100%
Principal Component Analysis
20%
Self-Report
10%
Regression Analysis
10%
Linear Regression
10%
Hierarchical Regression
10%
Training
10%