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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Bio-Medical Sciences in Dentistry
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Ein Karem
Course/Module Coordinator:
Prof. Galit Almoznino
Coordinator Office Hours:
by prior arrangement
Teaching Staff:
Dr. ayelet goldstein,
Prof Galit Almoznino,
Dr. Shir Rosenbaum,
Dr. Guy Kelman,
Dr. EREZ SHALOM
Course/Module description:
The course presents current topics in in data analysis and digital health.
Course/Module aims:
To discuss together advanced topics in data analysis and digital health and their meaning.
Learning outcomes - On successful completion of this module, students should be able to:
Upon successful completion of this course student will be able to understand and discuss advanced topics in data analysis and digital health and their meaning.
Attendance requirements(%):
100%
Teaching arrangement and method of instruction:
Lectures and student presentations.
Course/Module Content:
12-05-2024 Introduction- Study designs-advantages and disadvantages Prof. Galit Almoznino
19-05-2024 Machine learning application in medicine and cancer research Dr. Shay Rozenberg
26-05-2024
9:15-11:00 Computational Decision support systems in medicine Dr. Erez Shalom
26-05-2024
11:15-12:00 Advanced literature search Tomer Ben Shushan
02-06-2024 Big Data studies using advanced machine learning algorithms in the Jerusalem computational center Dr. Guy Kelman
09-06-2024 Artificial intelligence in medicine Dr. Ayelet Goldstein
16-06-2024 Anatomy of a study proposal
Multicolinearity, Regression, simple and multivariable, ANOVA & ANCOVA, multiple comparisons, post-hoc tests, Odds Ratio as a measure of association. Prof. Galit Almoznino
23-06-2024 Big Data studies using advanced machine learning algorithms and statistical analysis Prof. Galit Almoznino
07-07-2024 Seminar and critical discussion Prof. Galit Almoznino
14-07-2024 Seminar and critical discussion Prof. Galit Almoznino
21-07-2024 Seminar and critical discussion Prof. Galit Almoznino
28-07-2024
Seminar and critical discussion- Prof. Galit Almoznino
Required Reading:
Current literature
Additional Reading Material:
NA
Grading Scheme :
Presentation / Poster Presentation / Lecture/ Seminar / Pro-seminar / Research proposal 80 %
Active Participation / Team Assignment 10 %
Attendance / Participation in Field Excursion 10 %
Additional information:
NA
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