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Health Informatics MasterTrack® Certificate

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Course Features

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Duration

7 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

15 hours per week

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Teaching Type

Self Paced

Course Description

Health informatics is a highly-demanded field that includes applied research and the practice and application of informatics in clinical and public health. Informatics researchers develop, introduce, and evaluate new biomedically motivated methods in areas as diverse as data mining, natural language or text processing, cognitive science, human-computer interaction, decision support, databases and algorithms for analyzing large amounts of data generated in public health, clinical research and genomics/proteomics.In this online program, you will develop the skills and knowledge around data, health and informatics needed to attract attention from recruiters and hiring managers in the fast growing healthcare industry. The course will give you a deep understanding of the health informatics field and its subfields. This includes imaging, research, precision medicine, artificial intelligence, and laboratory/precision medicine. You will also explore the themes that serve as the foundation for different areas of biomedical informatics, including clinical and neuro-informatics.Throughout four courses and hands-on projects, you will leverage the expertise of faculty from the Division of Health Informatics at the Yale School of Public Health, learning from real-world projects and live sessions with groups of high-caliber peers.By committing 6-8 hours of online study per week for about 7 months, you can earn a Yale-issued Health Informatics MasterTrack Certificate that can help you in your future graduate studies or professional pursuits in both public health departments (e.g. CDC, local government, and the private sector. organizations that employ computer scientists and mathematicians/statisticians). If you are accepted to the Yale School of Public Health's Master of Public Health (MPH), conditional credit will be granted. If you are accepted into the Yale School of Public Health MasterTrack Certificate program, you will be eligible for 2 conditional credit hours towards the Yale School of Public Health MPH program. .

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Build and evaluate different data classification models

Define natural language processing (NLP) and clinical NLP

Define the SQL and NoSQL database models

Describe the design, function, and evaluation of clinical information systems

Discuss the challenges and opportunities of artificial intelligence in healthcare

Discuss the challenges of data integration

Examine the role and utility of data standards in Health Informatics

Explain the factors that influence the delivery of personalized medical experiences

Explore Python and Google Colab

Process and parse unstructured text narratives and transform the text into a structured format using natural language processing methods

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