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Matteo Leghissa
Position
phD Student
Research areas
Personal Information
Email
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Phone
910672166
Location
Publications
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Exploring Temporal Features in Health Records for Frailty Detection
de Enciso García, J., Matteo Leghissa, Oscar Araque & Álvaro Carrera Barroso (2024). Exploring Temporal Features in Health Records for Frailty Detection. In de Sevilla, U. (editor), CASEIB 2024. Libro de Actas del XLII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. -
FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models
Matteo Leghissa, Álvaro Carrera Barroso & Carlos A. Iglesias. (2024). FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models. International journal of medical informatics, 192. -
Machine Learning Approaches for Frailty Detection, Prediction and Classification in Elderly People: A Systematic Review
Matteo Leghissa, Álvaro Carrera Barroso & Carlos A. Iglesias. (2023). Machine Learning Approaches for Frailty Detection, Prediction and Classification in Elderly People: A Systematic Review. International Journal of Medical Informatics, 178, 105172.
Projects
Research areas: Big Data and Machine Learning, IR and Sentiment Analysis
Proposed start date: 2022-12-01
Proposed end date: 2024-12-01