TY  - JOUR
AU  - Gomez-Jemes, Lola
AU  - Madalina Oprescu, Andreea
AU  - Chimenea-Toscano, Angel
AU  - Garcia-Diaz, Lutgardo
AU  - Romero-Ternero, Maria del Carmen
PY  - 2022
DO  - 10.3390/electronics11193240
UR  - http://hdl.handle.net/10668/20971
T2  - Electronics
AB  - The use of artificial intelligence in healthcare in general and in obstetrics and gynecology in particular has great potential. Specifically, machine learning methods could help improve the health and well-being of pregnant women, closely monitoring...
LA  - en
PB  - Mdpi
KW  - machine learning
KW  - multilabel classification
KW  - pre-eclampsia
KW  - intrauterine growth restriction
KW  - pregnancy disorders
KW  - Artificial-intelligence
KW  - Prevention
KW  - Aspirin
TI  - Machine Learning to Predict Pre-Eclampsia and Intrauterine Growth Restriction in Pregnant Women
TY  - research article
VL  - 11
ER  -