Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management is a research paper published in International Journal of Epidemiology (2023). On theSindex it has a DataRank of 0. It has been cited 51 times.
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Japan Agency for Medical Research and Development
Grant: JP22rea522107
NIDDK
Grant: F99 DK126119
Japan Society for the Promotion of Science
Grant: 21K20900
Japan Society for the Promotion of Science
Grant: 22K17392
National Institute on Minority Health and Health Disparities
Grant: R01MD013913
National Institute of Aging
Grant: R01AG068633
Sloan Foundation, Office of Naval Research
Grant: N00014-17–1-2131
National Institutes of Health
Grant: 1ZIADK013039-04
Molecular modeling of soluble proteins
National Institutes of Health
Grant: 5R01MD013913-04
The Impact of Surgeon Factors and Education/Training on Disparities in Surgical Care.
National Institutes of Health
Grant: 1F99DK126119-01
Effects of Chronic Kidney Disease on Cardiovascular Disease and Dementia Among People with Diabetes: Causal Modeling with Machine Learning Approach
National Institutes of Health
Grant: 5R01AG068633-04
The Impact of physician and health system factors on the quality of care for persons with Alzheimer's disease and related dementias at the end of life
Mercatus Center and Microsoft Research
Golub Capital Social Impact Lab, Schmidt Futures
Japanese Endocrine Society, Meiji Yasuda Life Foundation of Health and Welfare
Ministry of Education, Culture, Sports, Science and Technology
National Institutes of Health
NIH
Program for the Development of Next-generation Leading Scientists with Global Insight
FWCI
8.69
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals