Modeling severity of postpartum depression using objective and subjective sleep and biological rhythms: A machine learning approach

被引:0
|
作者
Slyepchenko, Anastasiya [1 ]
Krawczak, Elizabeth [2 ]
Minuzzi, Luciano [3 ,4 ]
Reilly, James P. [1 ]
Frey, Benicio N. [4 ]
机构
[1] McMaster Univ, Hamilton, ON, Canada
[2] St Josephs Healthcare Hamilton, Womens Hlth Concerns Clin, Hamilton, ON, Canada
[3] McMaster Univ, St Josephs Healthcare Hamilton, Womens Hlth Concerns Clin, Hamilton, ON, Canada
[4] McMaster Univ, Womens Hlth Concerns Clin, Hamilton, ON, Canada
关键词
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
S8
引用
收藏
页码:95 / 95
页数:1
相关论文
共 50 条
  • [31] Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton
    Dieu, Olivier
    Schnitzler, Christophe
    Llena, Clement
    Potdevin, Francois
    JOURNAL OF SPORTS SCIENCES, 2020, 38 (17) : 1943 - 1952
  • [32] Using Machine Learning Methods for Modeling Freight Train Derailment Severity
    Lotfi, Arefeh
    Bagheri, Morteza
    Ahmadi, Abbas
    TRANSPORTATION RESEARCH RECORD, 2023, 2677 (03) : 961 - 973
  • [33] Prediction of postpartum depression using machine learning techniques from social media text
    Fatima, Iram
    Abbasi, Burhan Ud Din
    Khan, Sharifullah
    Al-Saeed, Majed
    Ahmad, Hafiz Farooq
    Mumtaz, Rafia
    EXPERT SYSTEMS, 2019, 36 (04)
  • [34] Estimation of postpartum depression risk from electronic health records using machine learning
    Guy Amit
    Irena Girshovitz
    Karni Marcus
    Yiye Zhang
    Jyotishman Pathak
    Vered Bar
    Pinchas Akiva
    BMC Pregnancy and Childbirth, 21
  • [35] Estimation of postpartum depression risk from electronic health records using machine learning
    Amit, Guy
    Girshovitz, Irena
    Marcus, Karni
    Zhang, Yiye
    Pathak, Jyotishman
    Bar, Vered
    Akiva, Pinchas
    BMC PREGNANCY AND CHILDBIRTH, 2021, 21 (01)
  • [36] EXAMINATION OF DAILY STRESSOR EXPOSURE, APPRAISALS, AND COPING WITH SUBJECTIVE SLEEP QUALITY: A MACHINE LEARNING APPROACH
    Wen, Jin
    Sin, Nancy
    PSYCHOSOMATIC MEDICINE, 2023, 85 (04): : A76 - A77
  • [37] Novel criteria to classify ARDS severity using a machine learning approach
    Mohammed Sayed
    David Riaño
    Jesús Villar
    Critical Care, 25
  • [38] Novel criteria to classify ARDS severity using a machine learning approach
    Sayed, Mohammed
    Riano, David
    Villar, Jesus
    CRITICAL CARE, 2021, 25 (01)
  • [39] THE EFFECT OF MOOD STATUS ON THE SUBJECTIVE-OBJECTIVE SLEEP DISCREPANCY IN HEALTHY YOUNG SUBJECTS: A MULTILEVEL MODELING APPROACH
    Kishi, A.
    Miyake, Y.
    SLEEP MEDICINE, 2019, 64 : S199 - S199
  • [40] COMPARISON OF TWO APPROACHES OF BONE BIOLOGICAL MODELING USING MACHINE LEARNING
    Grygorieva, N.
    Pisaruk, A.
    Gurianov, V.
    Musiienko, A.
    Shatylo, V.
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2024, 36 : S451 - S451