TY  - JOUR 
AU  - González-Nóvoa, J.A.
AU  - Campanioni, S.
AU  - Busto, L.
AU  - Fariña, J.
AU  - Rodríguez-Andina, J.J.
AU  - Vila Fernández, Dolores
AU  - Iñiguez Romo, Andres
AU  - Veiga Garcia, Cesar
PY  - 2023
SN  - 1660-4601
UR  - http://hdl.handle.net/20.500.11940/21620
AB  - It is of great interest to develop and introduce new techniques to automatically and efficiently analyze the enormous amount of data generated in today's hospitals, using state-of-the-art artificial intelligence methods. Patients readmitted to the ICU...
LA  - eng
KW  - Humans
KW  - Artificial Intelligence
KW  - Patient Readmission
KW  - Bayes Theorem
KW  - Machine Learning
KW  - Intensive Care Units
TI  - Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning
DO  - 10.3390/ijerph20043455
T2  - International Journal of Environmental Research and Public Health
KW  - AS Vigo
KW  - CHUVI
KW  - AS Vigo
KW  - CHUVI
KW  - IISGS
VL  - 20
ER  -