Into the bowels of depression: Unravelling medical symptoms associated with depression by applying machine-learning techniques to a community based population sample

Dipnall, Joanna Frith; Pasco, Julie; Berk, Michael; Williams, Lana; Dodd, Seetal; Jacka, Felice; Meyer, D

dipnall-intothebowels-2016.pdf (1.89 MB)

Into the bowels of depression: Unravelling medical symptoms associated with depression by applying machine-learning techniques to a community based population sample

journal contribution

posted on 2016-12-01, 00:00 authored by Joanna Frith Dipnall, Julie PascoJulie Pasco, Michael BerkMichael Berk, Lana WilliamsLana Williams, Seetal DoddSeetal Dodd, Felice JackaFelice Jacka, D Meyer

Into the bowels of depression: Unravelling medical symptoms associated with depression by applying machine-learning techniques to a community based population sample

History

Journal

PLoS ONE

Volume

11

Issue

12

Article number

ARTN e0167055

Publisher

PUBLIC LIBRARY SCIENCE

Location

United States

Publisher DOI

https://doi.org/10.1371/journal.pone.0167055

ISSN

1932-6203

eISSN

1932-6203

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389587100056&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2016, The Authors

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Keywords

Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics LOGISTIC-REGRESSION DIETARY PATTERNS GUT MICROBIOME MECHANISMS DISORDERS HEALTH IMPACT

Into the bowels of depression: Unravelling medical symptoms associated with depression by applying machine-learning techniques to a community based population sample

History

Journal

Volume

Issue

Article number

Publisher

Location

Publisher DOI

ISSN

eISSN

Language

Author URL

Publication classification

Copyright notice

Usage metrics

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Keywords

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