This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care.
Über diesen Kurs
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
- 5 stars69,23 %
- 4 stars25,44 %
- 3 stars4,14 %
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Top-Bewertungen von INTRODUCTION TO CLINICAL DATA
Very clear and well-organized course. I have learned quite a bit about the different types of clinical data, why they are important, and how to transfer them to analytical useable data sets.
Very nice and accessible introduction to clinical data and the associated ethical considerations.
Good introductory course covering key features of the various data that are gathered or used in health care. No prior knowledge about the topic is required.
Course was generally good -- final assessment questions were not always carefully worded nor proofread.
Über den Spezialisierung AI in Healthcare
Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.
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Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
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Is this activity accredited for Continuing Medical Education (CME)?
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