Predicting body image satisfaction after liposuction surgery in patients with obesity using a longitudinal study and machine-learning analysis

被引:0
|
作者
Lee, Jeung-Hyun [1 ]
Kwon, Mina [1 ]
Yang, Jaeyeong [1 ]
Chang, Rose S. [1 ]
Ahn, Woo-Young [1 ,2 ]
机构
[1] Seoul Natl Univ, Dept Psychol, Seoul, South Korea
[2] Seoul Natl Univ, Dept Brain & Cognit Sci, Seoul, South Korea
关键词
computational modeling; machine learning; body image dissatisfaction;
D O I
暂无
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
MT-1A5
引用
收藏
页码:256 / 256
页数:1
相关论文
共 50 条
  • [31] Predicting Obesity in Adults Using Machine Learning Techniques: An Analysis of Indonesian Basic Health Research 2018
    Thamrin, Sri Astuti
    Arsyad, Dian Sidik
    Kuswanto, Hedi
    Lawi, Armin
    Nasir, Sudirman
    FRONTIERS IN NUTRITION, 2021, 8
  • [32] Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly
    Fan, Yanghua
    Li, Yansheng
    Li, Yichao
    Feng, Shanshan
    Bao, Xinjie
    Feng, Ming
    Wang, Renzhi
    ENDOCRINE, 2020, 67 (02) : 412 - 422
  • [33] Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly
    Yanghua Fan
    Yansheng Li
    Yichao Li
    Shanshan Feng
    Xinjie Bao
    Ming Feng
    Renzhi Wang
    Endocrine, 2020, 67 : 412 - 422
  • [34] Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods
    Paul T. Ogink
    Aditya V. Karhade
    Quirina C. B. S. Thio
    William B. Gormley
    Fetullah C. Oner
    Jorrit J. Verlaan
    Joseph H. Schwab
    European Spine Journal, 2019, 28 : 1433 - 1440
  • [35] Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods
    Ogink, Paul T.
    Karhade, Aditya V.
    Thio, Quirina C. B. S.
    Gormley, William B.
    Oner, Fetullah C.
    Verlaan, Jorrit J.
    Schwab, Joseph H.
    EUROPEAN SPINE JOURNAL, 2019, 28 (06) : 1433 - 1440
  • [36] Predicting Myocardial Rupture after Acute Myocardial Infarction in Hospitalized Patients using Machine Learning
    Al Azwari, Sana
    2021 IEEE NATIONAL COMPUTING COLLEGES CONFERENCE (NCCC 2021), 2021, : 1088 - +
  • [37] Establishing a Classification System for Predicting Flow-Limiting Dissection After Balloon Angioplasty Using Explainable Machine-Learning Models: A Multicenter Retrospective Cohort Study
    Hou, Xinhuang
    Xu, Shuguo
    Lin, Tong
    Liu, Liang
    Guo, Pingfan
    Cai, Fanggang
    Zhang, Jinchi
    Lin, Jun
    Lai, Xiaoling
    Li, Wanglong
    Dai, Yiquan
    JOURNAL OF ENDOVASCULAR THERAPY, 2024,
  • [38] Development of prediction model of low anterior resection syndrome for colorectal cancer patients after surgery based on machine-learning technique
    Huang, Ming Jun
    Ye, Lin
    Yu, Ke Xin
    Liu, Jing
    Li, Ka
    Wang, Xiao Dong
    Li, Ji Ping
    CANCER MEDICINE, 2023, 12 (02): : 1501 - 1519
  • [39] Detecting Cutout Shape and Predicting Its Location in Sandwich Structures Using Free Vibration Analysis and Tuned Machine-Learning Algorithms
    Demircioglu, Ufuk
    Sayil, Asaf
    Bakir, Halit
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2024, 49 (02) : 1611 - 1624
  • [40] Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study
    Lin, Yu-Jiun
    Chen, Ray-Jade
    Tang, Jui-Hsiang
    Yu, Cheng-Sheng
    Wu, Jenny L.
    Chen, Li-Chuan
    Chang, Shy-Shin
    JMIR MEDICAL INFORMATICS, 2020, 8 (10)