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Real world data and data science in medical research: present and future
Kanae Togo
*
,
Naohiro Yonemoto
*
Corresponding author for this work
Department of Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
11
Scopus citations
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Keyphrases
Activities of Daily Living
25%
Administrative Data
25%
Data Analytics
25%
Data Linking
25%
Data Research
25%
Data Science
100%
Digital Data
25%
Digital Transformation
25%
Digitization
25%
Disease Burden
50%
Disease Incidence
25%
Disease Prevalence
25%
Epidemiological Methods
25%
Epidemiology
25%
Incomplete Understanding
25%
Medical Costs
25%
Medical Field
25%
Medical Records
25%
Medical Research
100%
Medical Treatment
25%
Methodological Perspectives
25%
Multiple Databases
25%
Public Health Science
25%
Public Science
25%
Quality of Life
25%
Randomized Clinical Trial
25%
Real-time Data Analysis
75%
Regulatory Purposes
25%
Regulatory Science
25%
Statistical Methods
25%
Treatment Group
25%
Underlying Risk
25%
Unstructured Text Data
25%
Pharmacology, Toxicology and Pharmaceutical Science
Combination Therapy
50%
Disease
100%
Prevalence
50%
Randomized Clinical Trial
50%
Mathematics
Confounders
7%
Data Analytics
7%
Data Source
7%
Medical Treatment
7%
Real-World Data
100%
Regulatory Purpose
7%
Statistics
7%
Text Data
7%
Treatment Group
7%
Unstructured Text
7%