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.
Este curso faz parte do Programa de cursos integrados AI in Healthcare
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oferecido por
Programa de cursos integrados AI in HealthcareUniversidade de StanfordInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 5 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 12 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
O que você vai aprender
How to apply a framework for medical data mining
Ethical use of data in healthcare decisions
How to make use of data that may be inaccurate in systematic ways
What makes a good research question and how to construct a data mining workflow answer it
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 5 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 12 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
Universidade de Stanford
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.
Programa - O que você aprenderá com este curso
1 hora para concluir
Asking and answering questions via clinical data mining
1 hora para concluir
12 vídeos (Total 19 mín.), 2 leituras, 3 testes
2 horas para concluir
Data available from Healthcare systems
2 horas para concluir
16 vídeos (Total 32 mín.), 3 leituras, 4 testes
1 hora para concluir
Representing time, and timing of events, for clinical data mining
1 hora para concluir
12 vídeos (Total 20 mín.), 2 leituras, 3 testes
2 horas para concluir
Creating analysis ready datasets from patient timelines
2 horas para concluir
18 vídeos (Total 33 mín.), 2 leituras, 3 testes
Avaliações
Principais avaliações do INTRODUCTION TO CLINICAL DATA
por BB14 de Mar de 2021
The course program is very intuitive and challenging. Overall, it is a very good course and I will recommend it to anyone interested in understanding clinical data, in particular for data scientists.
por YX4 de Nov de 2020
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.
por NJ19 de Nov de 2020
It would be helpful to be able to see all items that need to be completed. I took the final test and it says I've only completed 2 of 5 courses.
por EP15 de Fev de 2021
Was helpful and informational - a non-healthcare technologist looking into healthcare data management
Sobre Programa de cursos integrados 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.
Perguntas Frequentes – FAQ
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Is financial aid available?
Is this activity accredited for Continuing Medical Education (CME)?
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