Showing 1-9 of 28 results
GPT Powered Classroom
The advent of Language Model AI, particularly the ChatGPT, has revolutionized the way we interact with technology, taking the world by storm. This cutting-edge AI model, developed by OpenAI, has demonstrated an unprecedented ability to understand and generate human-like text, making it an accessible and flexible tool for a wide…
Improving Drug Safety
Main question: Can I use ML applied to heart rate data (time series) of test subjects to show who is using beta blockers? Sub-questions: What preprocessing should be applied? Is it preferable to work with features or is it better to let a neural network learn the raw data? Does…
The Living Somnox
1. Introduction Insomnia has many consequences for society. Scientific research shows that the consequences of a bad night’s sleep are noticeable in, for example, the productivity of employees, road safety, the effect of therapies, the use of medication and the performance of students during their education and in the quality…
Food Trends
Identify clustered perceptions towards nutrition-related topics (e.g. guidelines, meat consumption, trends like low carb diets etc) based on social media information. This type of analysis could serve as exploratory research aiming to generate hypotheses or to identify profiles of participants to be recruited for more in-depth qualitative research. Development of…
Food Image Recognition
Goal Estimate ‘what people eat’ with machine learning based on images or videos of plates. Methodology We can start small by e.g. aiming to estimate portion sizes, in- or exclusion of vegetables at dinnertime or in-or exclusion of fruits in breakfasts. We could ask students to collect both experimental data…
Road Scan Data
DATAST is a company that works to make maintaining and servicing the public space as efficient as possible. DATAST has a lot of data they get from different sources which they have to store. And they have different clients that only have access to certain parts of the data. DATAST…
Behavior Features
We have data from one day (7-22.00) regarding physical activity of 15 patients, comprising two types of data: Type 1: Accelerometry: % of time lying/sitting, standing, walking, running, cycling. Type 2: Behavioral mapping: 3 hourly observations during one day (approximately 45 observations per patient) – what – how – with…
Auto Exercise Planning
Using string data from the electronic patient record to compose an eHealth exercise program, what is needed and how feasible is it, what can be the potential outcome? Composing a digital exercise program is time consuming. Is it feasible to compose a exercise program by subsequently: Linking data from the…
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…
