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Clinical Dataset for Machine Learning
The key resource in health & medical research, there are several ways clinical data is collected & managed. We are going to summarize in brief of 4 major types which are crucial to understanding in retrospect of our research
These are records maintained at individual medical institutions, hospital, clinic etc., & it includes administrative and demographic information, diagnosis, treatment, prescription drugs, laboratory tests, physiologic monitoring data, hospitalization, patient insurance, etc. Even though such data is not generally available to outsiders for open research, larger collaborators may get mediated or collaborated access.
For widespread chronic conditions such as cancer, diabetes, heart disease, asthma, Alzheimer's disease etc, digital entries are sometimes kept to study a narrow prospect of the condition. They contain critical information in regard to the patient management system.
- Global Alzheimer's Association Interactive Network (GAAIN)
- National Cardiovascular Data Registry (NCDR)
To have a proper assessment of the public health infrastructure of a population, surveys are often conducted by national health institutes & other associated departments. Non-Governmental Organizations and Private as well as Organizations conduct surveys on certain population groups of interest & can make data accessible for research purpose
Clinical research data may be available through national or discipline-specific organizations. Right to access is likely restricted but available through proper channels. Proprietary research data may also be available through individual agreements with private companies.
source: "Data Resources in Health Science", Health Sciences Library, https://guides.lib.uw.edu/hsl/data/findclin