Showing 1-9 of 20 results
Public Health Data
The trigger The COVID-19 pandemic triggered the demand for data driven decision making amongst policy makers in the public health sector. Registration data on test results and vaccination status were extensively used to create meaningful data analytics. The paradox This health crisis also revealed a remarkable paradox. Whereas governmental researchers…
Risk signaling
The aim of this research program is to contribute to prevention by better identifying suspicious abnormalities by paramedics. Subsequently, upon identification, to advise more effectively to ask for medical care. Embedding enhanced risk signaling and secondary prevention in skin therapeutic care Cancer is one of the diseases that cause…
Infant Blink Detection
Distributed machine learning is becoming a popular model-training method due to privacy, computational scalability, and bandwidth capacities. In this work, we explore scalable distributed-training versions of two algorithms commonly used in object detection. A novel distributed training algorithm using Mean Weight Matrix Aggregation (MWMA) is proposed for Linear Support Vector…
AR for deaf students
Hearing loss is a global problem that many people deal with and the percentage of people with a hearing impairment will only keep growing. It is projected that we will reach a global population of 8 billion people in 2022 . Of these 8 billion people it is estimated that…
Digital Health Challenges
Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Objective: The objective of this…
Virtual Jelle
Project partners: Virtuele Jelle (start-up), Pieter van Foreest (PvF), Medical Delta, IMEC (Innovatrix), Innovation Quarter and THUAS. R&D by: Virtuele Jelle, Hani Al-Ers (THUAS) Challenge: to improve quality of life of people with dementia and to relieve family care givers by virtual (machine-controlled) telephone conversations with real voices of family…
City Scrapper
The project aims to use widely available user satisfaction data to construct a decision making tool for municipalities. Managing cities is a complex task for municipalities. Both creating policies and evaluating them requires careful planning and significant resources. However, citizen already provide publicly that information on a variety of user…
Firefighter forecasting
Recent increase in wild fires in France, and around the world, are an unfortunate example of the current challenges firefighters face nowadays. Data science can provide a solution for such challenges. Through various visualizations, we can empower our public services to react faster and more efficiently to extreme situations. The…
Start(V)aardig
Applying data science for Health Innovation Recently, the Data Science team got involved in Pim Koolwijk’s Project ‘Start(V)aardig’. The aim of this project is to develop a toolbox for professionals supporting them to improve the motor competence of young children. The project provides a rich source of structured and repeatedly…