Prediction of postpartum depression using multilayer perceptrons and pruning.
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 decisi...
| Published in: | Methods of Information in Medicine Vol. 48; no. 3; pp. 291 - 299 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Thieme Medical Publishing Inc.
2009
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105536319&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105536319 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00261270 W7M jtl: Methods of Information in Medicine issn: 00261270 maglogo: N pubinfo: dt: 2009 vid: 48 iid: 3 pid: 2811 pub: Thieme Medical Publishing Inc. place: New York, New York artinfo: ui: 105536319 NLM19387507 2010286703 10.3414/ME0562 NLM19387507 105536319 ppf: 291 ppct: 8 formats: tig: atl: Prediction of postpartum depression using multilayer perceptrons and pruning. aug: au: Tortajada S García-Gomez JM Vicente J Sanjuán J de Frutos R Martín-Santos R García-Esteve L Gornemann I Gutiérrez-Zotes A Canellas F Carracedo A Gratacos M Guillamat R Baca-García E Robles M Tortajada, Salvador García-Gomez, Juan M Vicente, Javier Sanjuán, Julio de Frutos, Rosa affil: IBIME, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Valencia, Spain sug: subj: Depression, Postpartum Diagnosis Multilayer Perceptrons Adult Algorithms Female Forecasting Logistic Regression Nervous System Prospective Studies Spain Human Adult: 19-44 years Female 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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