Improving Cardiology-Rehospitalization Prediction Through the Synergy of Process Mining and Deep Learning: An Innovative Approach...European Federation for Medical Informatics (EFMI) Special Topic Conference, October 25-27, 2023, Turin, Italy.
Nowadays, hospitals are facing the need for an accurate prediction of rehospitalizations. Rehospitalizations, indeed, represent both a high financial burden for the hospital and a proxy measure of care quality. The current work aims to address such a problem with an innovative approach, by building...
| Published in: | Studies in Health Technology & Informatics Vol. 309; pp. 238 - 240 |
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| Main Authors: | , , , |
| Format: | proceedings research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2023
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| Online Access: | View this record in EBSCOhost |
| Summary: | Nowadays, hospitals are facing the need for an accurate prediction of rehospitalizations. Rehospitalizations, indeed, represent both a high financial burden for the hospital and a proxy measure of care quality. The current work aims to address such a problem with an innovative approach, by building a Process Mining-Deep Learning model for the prediction of 6-months rehospitalization of patients hospitalized in a Cardiology specialty at San Raffaele Hospital, starting from their medical history contained in the Patients Hospital Records, with the double purpose of supporting resource planning and identifying at-risk patients. |
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