For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.
Fall Risk Prediction and Validation in Older Adults. Leveraging Electronic Health Records with Machine Learning
Medicine
Noman Dormosh will defend the dissertation 'Fall Risk Prediction and Validation in Older Adults. Leveraging Electronic Health Records with Machine Learning'. Supervisors are Prof. A. Abu-Hanna and Prof. N. van der Velde. The co-supervisors are Prof. M.C. Schut and Dr M.W. Heijmans.
Event details of
Fall Risk Prediction and Validation in Older Adults. Leveraging Electronic Health Records with Machine Learning
The UvA uses cookies to measure, optimise, and ensure the proper functioning of the website. Cookies are also placed in order to display third-party content and for marketing purposes. Click 'Accept' to agree to the placement of all cookies; if you only want to accept functional and analytical cookies, select ‘Decline’. You can change your preferences at any time by clicking on 'Cookie settings' at the bottom of each page. Also read the UvA Privacy statement.