External Validation of a Population-Based Multimodal Machine Learning Prediction Model for Wellbeing in a Depression and Elderly Cohort

被引:0
|
作者
Pelt, Dirk H. M. [1 ,2 ]
Habets, Philippe [3 ]
Heymans, Martijn W. [2 ,4 ]
Huisman, Martijn [2 ,4 ,5 ]
Vinkers, Christiaan H. [2 ,3 ,6 ,7 ]
Pool, Rene [1 ]
Penninx, Brenda W. J. H. [2 ,3 ,7 ]
Bartels, Meike [1 ,2 ]
机构
[1] Vrije Univ Amsterdam, Biol Psychol, Amsterdam, Netherlands
[2] Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst, Amsterdam, Netherlands
[3] Amsterdam Univ Med Ctr, Dept Psychiat, Amsterdam, Netherlands
[4] Amsterdam Univ Med Ctr, Dept Epidemiol & Datasci, Amsterdam, Netherlands
[5] Vrije Univ Amsterdam, Dept Sociol, Amsterdam, Netherlands
[6] Amsterdam Univ Med Ctr, Anat & Neurosci, Amsterdam, Netherlands
[7] Amsterdam Univ Med Ctr, Amsterdam Neurosci Mood Anxiety Psychosis Stress, Amsterdam, Netherlands
基金
欧洲研究理事会;
关键词
Wellbeing; Exposome; Polygenic scores; Machine learning prediction; External validation;
D O I
暂无
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
引用
收藏
页码:543 / 543
页数:1
相关论文
共 50 条
  • [1] Development and validation of a machine learning-based postpartum depression prediction model: A nationwide cohort study
    Hochman, Eldar
    Feldman, Becca
    Weizman, Abraham
    Krivoy, Amir
    Gur, Shay
    Barzilay, Eran
    Gabay, Hagit
    Levy, Joseph
    Levinkron, Ohad
    Lawrence, Gabriella
    DEPRESSION AND ANXIETY, 2021, 38 (04) : 400 - 411
  • [2] THE PREVENTION AND PREDICTION OF SUICIDE AND DEPRESSION: A POPULATION-BASED STUDY ON MACHINE LEARNING APPROACH
    Krishnan, Lokesh
    Kuppusamy, Alagirisamy
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2023, 19 (02): : 743 - 751
  • [3] Machine-learning prediction model for gestational diabetes in twin pregnancies: Population-based cohort study
    Mustafa, Hiba
    Kalafat, Erkan
    Heydari, Mohammad-Hossein
    Nunge, Rebecca
    Khalil, Asma
    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2023, 130 : 38 - 38
  • [4] Machine-learning prediction model for gestational diabetes in twin pregnancies: Population-based cohort study
    Mustafa, Hiba
    Kalafat, Erkan
    Heydari, Mohammad-Hossein
    Nunge, Rebecca
    Khalil, Asma
    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2023, 130 : 38 - 38
  • [5] External Validation of a Population-Based Prediction Model for High Healthcare Resource Use in Adults
    Rosella, Laura C.
    Kornas, Kathy
    Sarkar, Joykrishna
    Fransoo, Randy
    HEALTHCARE, 2020, 8 (04)
  • [6] Individual risk and prognostic value prediction by interpretable machine learning for distant metastasis in neuroblastoma: A population-based study and an external validation
    Li, Shan
    Wang, Jinkui
    Zhang, Zhaoxia
    Ren, Chunnian
    He, Dawei
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2025, 196
  • [7] Development and internal validation of a prediction model for the presence of tinnitus in a Dutch population-based cohort
    Rademaker, Maaike M.
    Smit, Adriana L.
    Stokroos, Robert J.
    van Smeden, Maarten
    Stegeman, Inge
    FRONTIERS IN NEUROLOGY, 2023, 14
  • [8] Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study
    Lauren D. Liao
    Assiamira Ferrara
    Mara B. Greenberg
    Amanda L. Ngo
    Juanran Feng
    Zhenhua Zhang
    Patrick T. Bradshaw
    Alan E. Hubbard
    Yeyi Zhu
    BMC Medicine, 20
  • [9] Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study
    Liao, Lauren D.
    Ferrara, Assiamira
    Greenberg, Mara B.
    Ngo, Amanda L.
    Feng, Juanran
    Zhang, Zhenhua
    Bradshaw, Patrick T.
    Hubbard, Alan E.
    Zhu, Yeyi
    BMC MEDICINE, 2022, 20 (01) : 307
  • [10] Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea
    Park, Sunmin
    Kim, Chaeyeon
    Wu, Xuangao
    DIAGNOSTICS, 2022, 12 (01)