General
Welcome to the home page of the Course. The course consists of short chapters that we will cover in each lecture. Before each lesson, please review the reading material and the videos. We will discuss the reading material in detail during the lesson. During some lessons we will assign homework. To complete it, you will most often need to do a small project, where you will analyze a dataset and answer the quiz's questions with the results of your analysis.
The course is divided into 2 subsequent modules: - Module A held by Enea Parimbelli and covering the characteristics of health related data, health information systems and biomedical informatics; - Module B held by Paola Cerchiello and covering the basic concepts of descriptive statistics and of inferential statistics;
This course is offered in the xAIM's master's program. The course is co-financed by the European Commission instrument "Connecting Europe Facility (CEF) Telecom" through the project "eXplainable Artificial Intelligence in healthcare Management project" (2020-EU-IA-0098), grant agreement number INEA/CEF/ICT/A2020/ 2276680.
Copyright
All the material which is part of this course (including recorded lectures, assignments, lecture materials, and derivatives) are subject to a Creative Commons CC BY-NC-ND 4.0 license.
Textbooks
Best textbook (if you want one, it's not mandatory to purchase it) for module A is: Biomedical Informatics - Computer Applications in Health Care and Biomedicine (5th edition is the latest) by Ted Shortliffe and James Cimino
a freely downloadable alternative can be found here
Software
for Module A: MySql workbench, REDCap (web-app accessible through your browser, no need to install anything), Google Colab (again, no need to install since this is accessible online)
For Module B: MS Excel
