- Day - Time: 26 February 2018, h.11:00
- Place: Area della Ricerca CNR di Pisa - Room: C-29
- Ophir Frieder (Department of Computer Science, Georgetown University Washington, DC (USA))
Computing continues to change the landscape of nearly all domains, medicine included. For instance, drug resistance is predicted and avoided via data mining applications; radiological reading errors are detected and prevented via natural language processing; and disease outbreak is detected early via text mining techniques. These are but just some examples where computing is reshaping medical practice. Specifically, we describe the monitoring of social media to detect disease outbreak and describe the implications of such surveillance schemes to healthcare planning for a major children-focused hospital. We continue by describing how conventional mining approaches significantly improve urinary tract infection treatment plans as developed jointly with and for another major hospital. Finally, we describe automated means for the detection of differences in radiological readings and describe how such detection schemes are used in yet a third major hospital.
Bio: Dr Ophir Frieder holds the Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. Chair in Computer Science and Information Processing and previously served as the Chair of the Department of Computer Science at Georgetown University. He is also Professor of Biostatistics, Bioinformatics and Biomathematics in the Georgetown University Medical Center. In addition to his academic positions, he is the Chief Scientific Officer for UMBRA Health Corp.(UHC) and a Research Associate at the Institute of Information Science and Technology at the Italian National Research Council (ISTI-CNR). He is a Fellow of the AAAS, ACM, IEEE, and NAI.