Using machine learning to predict outcomes in psychosis\

被引：14
|
作者：
Young, Jonathan [1 ]
Kempton, Matthew J. [1 ,2 ]
McGuire, Philip [2 ,3 ]
机构：
[1] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Neuroimaging, London SE5 8AF, England
[2] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Psychosis Studies, London SE5 8AF, England
[3] South London & Maudsley NHS Fdn Trust, Mental Hlth Biomed Res Ctr, Natl Inst Hlth Res, London, England
来源：
LANCET PSYCHIATRY | 2016年 / 3卷 / 10期
基金：
英国医学研究理事会;
关键词：
DEPRESSION; TRIAL;
D O I：
10.1016/S2215-0366(16)30218-8
中图分类号：
R749 [精神病学];
学科分类号：
100205 ;
摘要：
引用
收藏
页码：908 / 909
页数：2
相关论文
共 50 条
  • [1] USING MACHINE LEARNING TO PREDICT OUTCOMES IN PSYCHOSIS
    Koutsouleris, Nikolaos
    Falkai, Peter
    [J]. SCHIZOPHRENIA BULLETIN, 2017, 43 : S88 - S88
  • [2] Machine learning methods to predict outcomes of pharmacological treatment in psychosis
    Del Fabro, Lorenzo
    Bondi, Elena
    Serio, Francesca
    Maggioni, Eleonora
    D'Agostino, Armando
    Brambilla, Paolo
    [J]. TRANSLATIONAL PSYCHIATRY, 2023, 13 (01)
  • [3] Machine learning methods to predict outcomes of pharmacological treatment in psychosis
    Lorenzo Del Fabro
    Elena Bondi
    Francesca Serio
    Eleonora Maggioni
    Armando D’Agostino
    Paolo Brambilla
    [J]. Translational Psychiatry, 13
  • [4] Using machine learning to predict physics course outcomes
    Zabriskie, Cabot
    Yang, Jie
    DeVore, Seth
    Stewart, John
    [J]. PHYSICAL REVIEW PHYSICS EDUCATION RESEARCH, 2019, 15 (02):
  • [5] Using machine learning to predict mental healthcare consumption in non -affective psychosis
    Kwakernaak, Sascha
    van Mens, Kasper
    Cahn, Wiepke
    Janssen, Richard
    Alizadeh, Behrooz Z.
    van Amelsvoor, Therese
    Bartels-Velthuis, Agna A.
    de Haan, Lieuwe
    Luyk, Jurjen J.
    Schirmbeck, Frederike
    Simons, Claudia J. P.
    van Os, Jim
    [J]. SCHIZOPHRENIA RESEARCH, 2020, 218 : 166 - 172
  • [6] Using machine learning to predict outcomes following suprainguinal bypass
    Li, Ben
    Eisenberg, Naomi
    Beaton, Derek
    Lee, Douglas S.
    Aljabri, Badr
    Wijeysundera, Duminda N.
    Rotstein, Ori D.
    de Mestral, Charles
    Mamdani, Muhammad
    Roche-Nagle, Graham
    Al-Omran, Mohammed
    [J]. JOURNAL OF VASCULAR SURGERY, 2024, 79 (03) : 593 - 608.e8
  • [7] Using machine learning to predict outcomes following carotid endarterectomy
    Li, Ben
    Beaton, Derek
    Eisenberg, Naomi
    Lee, Douglas S.
    Wijeysundera, Duminda N.
    Lindsay, Thomas F.
    de Mestral, Charles
    Mamdani, Muhammad
    Roche-Nagle, Graham
    Al-Omran, Mohammed
    [J]. JOURNAL OF VASCULAR SURGERY, 2023, 78 (04) : 973 - 987.e6
  • [8] Using Machine Learning to Predict Outcomes of Accident Cases in Moroccan Courts
    Aissa, Haidar
    Tarik, Ahajjam
    Zeroual, Imad
    Yousef, Farhaoui
    [J]. 12TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 4TH INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2021, 184 : 829 - 834
  • [9] Using a Novel Machine Learning Technique to Predict Radiation Oncology Outcomes
    Muhlestein, W.
    Chambless, L. B.
    Pajewski, N. M.
    Braunstein, S. E.
    Hepel, J. T.
    Chung, C.
    Contessa, J. N.
    Chao, S. T.
    Fiveash, J. B.
    Attia, A.
    Chan, M. D.
    Ayala-Peacock, D. N.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 99 (02): : E422 - E423
  • [10] Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis
    Tolmeijer, Eva
    Kumari, Veena
    Peters, Emmanuelle
    Williams, Steven C. R.
    Mason, Liam
    [J]. NEUROIMAGE-CLINICAL, 2018, 20 : 1053 - 1061
12345