IP-2022-10-8241
The ALFABEATS project aims to develop machine learning algorithms for analyzing Biomedical Time Series (BTS) in medical practice. These algorithms prioritize high accuracy, interpretability, and computational efficiency. The project includes creating a web platform and mobile app to integrate these algorithms, catering to various clinical scenarios evaluated by physicians. Anonymized BTS data will be collected from online sources and local medical institutions. The project not only advances biomedical and computer science knowledge but also offers a valuable software service to registered physicians.
Main project website: https://www.zemris.fer.hr/~ajovic/alfabeats/index.html
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