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Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder

Journal of Affective Disorders(2024)10.1016/j.jad.2024.12.053Source: DataRank Database

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder is a research paper published in Journal of Affective Disorders (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (48 grants)Impact (FWCI 4.89)OA: greenTopics (50)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (42)

Lauren Robinson ORCID,Robert Whelan ORCID,Lee Jollans ORCID,Zijian Wang ORCID,Frauke Nees ORCID

Live enrichment

PubMed:39701465 PMC:PMC7617286 OpenAlex:https://openalex.org/W4405467401

Fondation pour la Recherche Médicale

Grant: DPA20140629802

Medical Research Foundation

Grant: MRF-058-0009-RG-DESR-C0759

Medical Research Foundation

Grant: MR/R00465X/1

Neurobiological underpinning of eating disorders: integrative biopsychosocial longitudinal analyses in adolescents

Medical Research Foundation

Grant: MRF-058-0004-RG-DESRI

Medical Research Foundation

Grant: MRF-058-0014-F-ZHAN-C0866

Medical Research Foundation

Grant: MR/S020306/1

Medical Research Foundation

Grant: MR/W002418/1

Deutsche Forschungsgemeinschaft

Grant: SM 80/7-2

Deutsche Forschungsgemeinschaft

Grant: SFB 940

Deutsche Forschungsgemeinschaft

Grant: TRR 265

Deutsche Forschungsgemeinschaft

Grant: EXC-2049 \u2013 390688087

Innovate UK

Grant: 10038599

environMENTAL_Reducing the impact of major environmental challenges on mental health

Innovate UK

Grant: 101057429

Reducing the impact of major environmental challenges on mental health

ERA-Net NEURON

Grant: AF12-NEUR0008-01 - WM2NA

ERA-Net NEURON

Grant: ANR-18-NEUR00002-01 - ADORe

Fondation de France

Grant: 00081242

European Research Council

Grant: 785907

Human Brain Project Specific Grant Agreement 2

European Research Council

Grant: MR/N000390/1

Consortium on Vulnerability to Externalizing Disorders and Addictions [c-VEDA]

European Research Council

Grant: 695313

Brain network based stratification of mental illness

European Research Council

Grant: 945539

Human Brain Project Specific Grant Agreement 3

Bundesministerium für Bildung und Forschung

Grant: 01GL1745B

Bundesministerium für Bildung und Forschung

Grant: AERIAL 01EE1406A

Bundesministerium für Bildung und Forschung

Grant: 01EV0711

Bundesministerium für Bildung und Forschung

Grant: 01EE1406B

Bundesministerium für Bildung und Forschung

Grant: 01GS08152

National Institutes of Health

Grant: 1R56AG058854-01

ENIGMA World Aging Center

National Institutes of Health

Grant: R01DA049238

National Institutes of Health

Grant: U54 EB020403

Fondation de l'Avenir pour la Recherche Médicale Appliquée

Grant: AP-RM-17-013

NIMH NIH HHS

Grant: R01 MH085772

NIA NIH HHS

Grant: R56 AG058854

Science Foundation Ireland

Grant: 16/ERCD/3797

The Neurobiology of Voluntary Nicotine Abstinence: Genetics, Environment and Neurocognitive Endophenotypes

National Institutes of Health

Grant: 5U54EB020403-05

ENIGMA Center for Worldwide Medicine, Imaging & Genomics

Deutsche Forschungsgemeinschaft

Grant: 178833530/SFB 940

Volition and Cognitive Control: Mechanisms, Modulators and Dysfunctions

Deutsche Forschungsgemeinschaft

Grant: unidentified

unidentified

French National Research Agency (ANR)

Grant: ANR-12-SAMA-0004

Depression in adolescents. Brain structure and myelination, translational markers.

National Institutes of Health

Grant: 3R01DA049238-02S1

A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers

Horizon 2020

NIHR Maudsley Biomedical Research Centre

South London and Maudsley NHS Foundation Trust

Agence Nationale de la Recherche

European Commission

Institut National de la Santé et de la Recherche Médicale

Fédération pour la Recherche sur le Cerveau

King's College London

Medical Research Council

NIHR Imperial Biomedical Research Centre

National Institute for Health and Care Research

FWCI

4.89

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

greenLicense: CC BY

repositoryhttps://discovery.ucl.ac.uk/10203325/1/Machine%20learning%20models%20for%20diagnosis%20and%20risk%20prediction%20in%20eating%20disorders%2C%20depression%2C%20and%20alcohol%20use%20disorder.pdf

GREENhttps://discovery.ucl.ac.uk/10203325/1/Machine%20learning%20models%20for%20diagnosis%20and%20risk%20prediction%20in%20eating%20disorders%2C%20depression%2C%20and%20alcohol%20use%20disorder.pdf

publisherhttps://api.elsevier.com/content/article/PII:S016503272402041X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S016503272402041X?httpAccept=text/plain

Fields of Study

Eating Disorders and BehaviorsMental Health via WritingSexuality, Behavior, and TechnologyMedicinePsychologyComputer Science02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Machine LearningAdolescentAdultAlcoholismAnorexia NervosaFeeding and Eating DisordersDepressive Disorder, MajorMajor Depressive DisorderFemaleHumansLongitudinal StudiesMaleCase-Control StudiesBulimia NervosaYoung Adult

Keywords

Alcohol use disorderDepression (economics)Eating disordersPsychologyClinical psychologyPsychiatryAlcoholPredictive modelingrisk factorsMajor Depressive DisorderAdultMaleAnorexia NervosaAdolescent610600Article[SDV] Life Sciences [q-bio]Machine LearningFeeding and Eating DisordersYoung AdultAlcoholismCase-Control StudiesHumansFemaleLongitudinal StudiesBulimia Nervosa

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder

FAIR Checklist

Authors (42)

Funding (48 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)