Introduction to Clinical Data

41.218 students enrolled TR Subtitles
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. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Feature Engineering
  • Data Ethics
  • Healthcare Ethics
  • Clinical Research
  • Clinical Data Management
  • Health Informatics
  • Clinical Research Ethics
  • Unstructured Data
  • Data Mining
  • Health Information Management
  • Electronic Medical Record
  • Data Transformation

Details

  • ProviderStanford University
  • TypeCourse
  • CategoryData Science & AI
  • LanguageEnglish

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Ramazan Bölükbaşı
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Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
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$49
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