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学生对 Stanford University 提供的 AI in Healthcare Capstone 的评价和反馈

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课程概述

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. 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....

热门审阅

PP

Aug 15, 2023

I did not expect such good content in this course but it surpass my expectation. Its very well designed course which can engage you till the end and will definitely help you in your academics or work.

AZ

Dec 16, 2020

Getting AI specialization Stanford University is very amazing and effective to start your AI careers. Thank you for all Stanford university lecturers, Thank you Coursera for everything !

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51 - AI in Healthcare Capstone 的 57 个评论（共 57 个）

创建者 Chandràkanta M

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Aug 24, 2023

great course

创建者 Stefany V

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Jan 6, 2024

muito bom

创建者 권광현

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Apr 14, 2024

도움되었어요

创建者 Manohar S

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May 9, 2025

I am a dentist by profession . the option for a dentist to be enrolled in the programme was not present in the application. however all the examples were pertaining to pulmonary as there was no other option for me. I would request the team to include dentistry as one of the option. In case if you need help in developing the material, with the basic knowledge and additional training i am all the more willing to help the team. Among the five modules, i found the resource person from module 4 to be very impressive in the way she delivered content, body language, slide content and assessment. overall it is a very informative course. thanks to the team

创建者 Joshua A C

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Oct 15, 2020

I would have liked to see more hands on with users actually writing code in a notebook. The quizzes need to be verified because some answers may not be correct.

创建者 Mansij B (

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Aug 10, 2025

Helpful

创建者 Neil B

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Mar 28, 2025

Some excellent material in this course. However for a Stanford level course I expected better. They were typos scattered throughout each of the courses. For an AI course that talks about accessing text data and analysing why can’t you run an AI engine over this to fine and correct typos? I was very surprised in one of the courses for a Stanford professor to incorrectly state the primary colours as red, yellow and green. Green is not a primary colour. Blue is. Then I had a very poor experience at the end where a bug in the Software Incorrectly graded 2 of the assignments as 200% and 300% preventing me receiving my certificate. This went on for weeks with multiple emails and chats and incorrect information from your staff who did not tell me I could just retake it which I did and fixed it.