This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary care provider. We will follow the patient's journey from the lens of the data that are created at each encounter, which will bring us to a unique de-identified dataset created specially for this specialization. The data set spans EHR as well as image data and using this dataset, we will build models that enable risk-stratification decisions for our patient. We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model. During this exploration, we will also discuss the regulatory as well as ethical issues that come up as we attempt to use AI to help us make better care decisions for our patient. This course will be a hands-on experience in the day of a medical data miner.
Este curso faz parte do Programa de cursos integrados AI in Healthcare
oferecido por
Programa de cursos integrados AI in HealthcareUniversidade de StanfordInformações sobre o curso
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
Getting Started, Phase 1: Data Collection
Phase 2: Model Training Part 1
Phase 3: Model Training Part 2
Phase 4: Model Evaluation
Avaliações
- 5 stars73,78%
- 4 stars19,41%
- 3 stars4,85%
- 2 stars1,94%
Principais avaliações do AI IN HEALTHCARE CAPSTONE
I really enjoyed this course as it was applied learning of all I learned during the previous courses of the specialization.
There are 9 peer review tasks, but they are not obligate ;)
An excellent course to venture into the field of 'AI in medicine'.
The quality of peer review exercises was good and the content of the reading material was well understood
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
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
Is this activity accredited for Continuing Medical Education (CME)?
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