PREDICTION OF DIFFERENT TREATMENT TRAJECTORIES OF DEPRESSION AND ANXIETY USING MACHINE LEARNING APPROACH IN ADOLESCENTS

被引：0
|
作者：
Chun, Jeeyoung
Shin, Jiyoon
Lee, Kyung Hwa
Kim, Jae-Won
机构：
[1] Seoul Natl Univ, Coll Med, Seoul, South Korea
[2] Seoul Natl Univ Hosp, Seoul, South Korea
来源：
JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY | 2023年 / 62卷 / 10期
关键词：
D O I：
10.1016/j.jaac.2023.09.280
中图分类号：
B844 [发展心理学（人类心理学）];
学科分类号：
040202 ;
摘要：
4.36
引用
收藏
页码：S244 / S244
页数：1
相关论文
共 50 条
  • [1] Prediction of Depression Using Machine Learning and NLP Approach
    Mali, Amrat
    Sedamkar, R. R.
    INTELLIGENT COMPUTING AND NETWORKING, IC-ICN 2021, 2022, 301 : 172 - 181
  • [2] TRAJECTORIES OF DEPRESSION AND ANXIETY IN ADOLESCENTS WITH CF
    McLean, K. A.
    Madan, A.
    Monzon, A.
    PEDIATRIC PULMONOLOGY, 2014, 49 : 442 - 442
  • [3] Anxiety onset in adolescents: a machine-learning prediction
    Alice V. Chavanne
    Marie Laure Paillère Martinot
    Jani Penttilä
    Yvonne Grimmer
    Patricia Conrod
    Argyris Stringaris
    Betteke van Noort
    Corinna Isensee
    Andreas Becker
    Tobias Banaschewski
    Arun L. W. Bokde
    Sylvane Desrivières
    Herta Flor
    Antoine Grigis
    Hugh Garavan
    Penny Gowland
    Andreas Heinz
    Rüdiger Brühl
    Frauke Nees
    Dimitri Papadopoulos Orfanos
    Tomáš Paus
    Luise Poustka
    Sarah Hohmann
    Sabina Millenet
    Juliane H. Fröhner
    Michael N. Smolka
    Henrik Walter
    Robert Whelan
    Gunter Schumann
    Jean-Luc Martinot
    Eric Artiges
    Molecular Psychiatry, 2023, 28 : 639 - 646
  • [4] Anxiety onset in adolescents: a machine-learning prediction
    Chavanne, Alice
    Paillere Martinot, Marie Laure
    Penttilae, Jani
    Grimmer, Yvonne
    Conrod, Patricia
    Stringaris, Argyris
    van Noort, Betteke
    Isensee, Corinna
    Becker, Andreas
    Banaschewski, Tobias
    Bokde, Arun L. W.
    Desrivieres, Sylvane
    Flor, Herta
    Grigis, Antoine
    Garavan, Hugh
    Gowland, Penny
    Heinz, Andreas
    Bruehl, Ruediger
    Nees, Frauke
    Orfanos, Dimitri Papadopoulos
    Paus, Tomas
    Poustka, Luise
    Hohmann, Sarah S.
    Millenet, Sabina
    Froehner, Juliane
    Smolka, Michael
    Walter, Henrik
    Whelan, Robert
    Schumann, Gunter
    Martinot, Jean-Luc
    Artiges, Eric
    MOLECULAR PSYCHIATRY, 2023, 28 (02) : 639 - 646
  • [5] Cross-trial prediction of treatment outcome in depression: a machine learning approach
    Chekroud, Adam Mourad
    Zotti, Ryan Joseph
    Shehzad, Zarrar
    Gueorguieva, Ralitza
    Johnson, Marcia K.
    Trivedi, Madhukar H.
    Cannon, Tyrone D.
    Krystal, John Harrison
    Corlett, Philip Robert
    LANCET PSYCHIATRY, 2016, 3 (03): : 243 - 250
  • [6] Machine learning prediction will be part of future treatment of depression
    Lennon, Matthew J.
    Harmer, Catherine
    AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2023, 57 (10): : 1316 - 1323
  • [7] Breast Cancer Patients' Depression Prediction by Machine Learning Approach
    Cvetkovic, Jovana
    CANCER INVESTIGATION, 2017, 35 (08) : 569 - 572
  • [8] Optimizing the Prediction of Depression Remission: A Longitudinal Machine Learning Approach
    Carr, Ewan
    Rietschel, Marcella
    Mors, Ole
    Henigsberg, Neven
    Aitchison, Katherine J.
    Maier, Wolfgang
    Uher, Rudolf
    Farmer, Anne
    Mcguffin, Peter
    Iniesta, Raquel
    AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS, 2025, 198 (03)
  • [9] Depression prediction and therapy recommendation using machine learning technique
    Saranya, K.G.
    Babitha Reddy, C.H.
    Bhavyasree, M.
    Rubika, M.
    Varsha, E.
    International Journal of Computational Systems Engineering, 2024, 8 (1-2) : 120 - 127
  • [10] Developing a Depression Prediction Tool Using a Machine Learning Technique
    Choi, Jeungok
    Choi, Jeeyae
    Jung, Hee-Tae
    NURSING RESEARCH, 2018, 67 (02) : E103 - E103
12345