The Data Science of Healthcare, Medicine, and Public Health

سرفصل های دوره

Data analytics plays an increasingly pivotal role in how we go about managing our healthcare systems and personal health. This nontechnical course explores a variety of ways to apply data science to medicine and public health. Data scientist Barton Poulson discusses the ways that dramatically increased quantities of data—from genetic testing, genealogy, brain scans, and other sources—are changing the theory and practice of healthcare. As he looks over key data sources, Barton explores the different methods for analyzing this wealth of data, including machine learning and predictive modeling. He also details the extraordinary effect of the COVID-19 pandemic on the ways data is used in healthcare, and details how data science has changed the areas of patient care, self-care, and medical insurance. Barton also looks at some challenges the increased use of data presents, from ethical questions to logistical implementations, and how data science can help identify unanticipated problems.

01.01-healthcare and data science

02.01-data science and covid-19

03.01-shared history of health and data visualization

03.02-measuring health and disease

03.03-researching diseases in populations

03.04-genetic data and healthcare

04.01-diagnosing diseases

04.02-drug (re)discovery

04.03-predicting outcomes

04.04-treatments and roi

05.01-selecting treatments and interventions

05.02-individualized treatment

05.03-robotic surgery

05.04-3d printing and healthcare

05.05-virtual reality in healthcare

05.06-telemedicine

06.01-wearables and health monitoring

06.02-self-serve healthcare

06.03-patient experience

07.01-administrative burden for doctors and staff

07.02-blockchain and medical data

07.03-data science and health insurance

08.01-limitations and barriers

08.02-data ethics in healthcare

08.03-preparing for an unknown future

09.01-next steps and additional resources

139,000 تومان

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تولید کننده: LinkedIn Learning (Lynda)