RT Journal Article
T1 Prediction of postpartum depression using multilayer perceptrons and pruning.
A1 Tortajada, Salvador
A1 García-Gomez, Juan M.
A1 Vicente, Javier
A1 Sanjuán, Julio
A1 de Frutos, Rosa
A1 Martín-Santos, Rocío
A1 García-Esteve, Luisa
A1 Gornemann, Isolde
A1 Gutiérrez-Zotes, Alfonso
A1 Canellas, Francesca
A1 Carracedo, Angel
A1 Gratacos, Monica
A1 Guillamat, Roser
A1 Baca-García, Enrique
A1 Robles, Montserrat
K1 Multilayer perceptron
K1 Neural network
K1 Pruning
K1 Postpartum depression
K1 España
K1 Adulto
K1 Algoritmos
K1 Estudios de cohortes
K1 Depresión postparto
K1 Femenino
K1 Predicción
K1 Humanos
K1 Modelos logísticos
K1 Red nerviosa
K1 Estudios prospectivos
AB OBJECTIVE. The main goal of this paper is to obtain a classification model based on feed-forward multilayer perceptrons in order to improve postpartum depression prediction during the 32 weeks after childbirth with a high sensitivity and specificity and to develop a tool to be integrated in a decision support system for clinicians. MATERIALS AND METHODS. Multilayer perceptrons were trained on data from 1397 women who had just given birth, from seven Spanish general hospitals, including clinical, environmental and genetic variables. A prospective cohort study was made just after delivery, at 8 weeks and at 32 weeks after delivery. The models were evaluated with the geometric mean of accuracies using a hold-out strategy. RESULTS. Multilayer perceptrons showed good performance (high sensitivity and specificity) as predictive models for postpartum depression. CONCLUSIONS. The use of these models in a decision support system can be clinically evaluated in future work. The analysis of the models by pruning leads to a qualitative interpretation of the influence of each variable in the interest of clinical protocols.
PB Schattauer
SN 0026-1270
YR 2009
FD 2009
LK http://hdl.handle.net/10668/484
UL http://hdl.handle.net/10668/484
LA en
NO Tortajada S, García-Gomez JM, Vicente J, Sanjuán J, de Frutos R, Martín-Santos R, et al. Prediction of postpartum depression using multilayer perceptrons and pruning. Methods Inf Med 2009; 48(3):291-8
NO Journal Article; Research Support, Non-U.S. Gov't;
DS RISalud
RD Apr 7, 2025