Use of R software to run machine Learning with examples on medical data. Automatic analysis of medical data using existing libraries   Visit provider's page

Machine Learning approaches useful to process different types of data, including medical ones, in order to make predictions or to group homogeneous data. Regression and classification problems Validation   Visit provider's page

This online course provides an introduction to the EU policy context on healthcare system digitalisation, and what it represents for frontline healthcare professionals, and offers an overview on the collaboration, training, and student education to digitalise the healthcare ecosystems in the EU.   Visit provider's page

This course, the first in a three-part series on Big Data & Analytics for the health workforce, aims to enhance medical professionals’ skills in clinical databases, data extraction, and digital analysis to improve routine medical tasks and support data-driven decision-making.   Visit provider's page

In this course you will find 4 modules, with 2-4 lessons each. Each lesson contains a video course and a transcript. Each module contains an assessment and links to further readings.     Visit provider's page

The “Healthcare-ICT” is a 5-module course aimed at up-skilling healthcare workers, particularly medical, technicians, radiologists, and administrative staff, on the topic aforementioned. During this course, we will delve into the important topic of digitization of healthcare data.     Visit provider's page

This module equips participants with essential problem-solving and digital team working skills for modern professional environments, especially healthcare. Participants will learn methodologies like Design Thinking, stakeholder analysis, and project management tools, vital for creating effective, lasting solutions.     Visit provider's page

Use of video as a tool in health services.     Visit provider's page