Subject: Subject Sylbus: Machine Learning for Healthcare - 097248 (Current)

Machine Learning for Healthcare - 097248
Credit
Points
3.0
 
Given In
Semester
b
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2   1 1 2

Determination of the grade according to progress during the semester and the submission of the final thesis


Prerequisites: Data Analysis 046193
or Machine Learning 2 097209


Read and Critically Discuss Recent Papers Covering How Ml Is Used for: Guiding Diagnosis, Personalizing Treatments, Analyzing Medical Images and Medical Text, Reducing Healthcare Costs, Reducing Unfair Bias, and for a Better Understanding of Human Physiology. Machine at the End of the Course the Student Will Know:
1. to Give Three Examples of Diagnostic Tasks in Which Machine and What Are the Special Difficulties in This Task as Opposed to Diagnostic Tasks Are Appropriate, and for Which Tasks They Are Not a Medical Practitioner the Advantages and Disadvantages of the Model Versus a Human Physician,Further, the Student Will Explain the Situations in Which They Recommend Using the Model, and the Situations in Which It Is Best to Avoid Using It
5. Raise a Number of Ethical Issues Arising from the Use of Machine


Timetable to semester 02/2020 2020/2021 Spring Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
  10:30-12:30ThursdayDoctor Shalit UriLecture1011
  12:30-13:30Thursday Laboratory11
     Project11

Created in 06/03/2021 Time 01:10:30