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2. Biomedical data science - Wikipedia

   en.wikipedia.org/wiki/Biomedical_data_science

   Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.

3. Health informatics - Wikipedia

   en.wikipedia.org/wiki/Health_informatics

   This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data.

4. Artificial intelligence in healthcare - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.

5. Health care analytics - Wikipedia

   en.wikipedia.org/wiki/Health_care_analytics

   Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...

6. Medical image computing - Wikipedia

   en.wikipedia.org/wiki/Medical_image_computing

   Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care.

7. Medical statistics - Wikipedia

   en.wikipedia.org/wiki/Medical_statistics

   Medical statistics is a subdiscipline of statistics. It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses. It has a central role in medical investigations.

8. Health information management - Wikipedia

   en.wikipedia.org/wiki/Health_information_management

   Health information management's standards history is dated back to the introduction of the American Health Information Management Association, founded in 1928 "when the American College of Surgeons established the Association of Record Librarians of North America (ARLNA) to 'elevate the standards of clinical records in hospitals and other medical institutions.'" [3]

9. Public health informatics - Wikipedia

   en.wikipedia.org/wiki/Public_health_informatics

   Additionally, data collected from social media can also be included in these processes, refining its accuracy. [3] Job opportunities in this field include positions with the CDC and the American Medical Informatics Association, which provides more information about informatics for professionals in medical fields.