This paper is in the following e-collection/theme issue:

Orthopedics (55) Nails and Musculoskeletal (18)

Published on in Vol 7, No 1 (2018): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8555, first published .
Factors Affecting Bone Mineral Density Among Snowy Region Residents in Japan: Analysis Using Multiple Linear Regression and Bayesian Network Model

Factors Affecting Bone Mineral Density Among Snowy Region Residents in Japan: Analysis Using Multiple Linear Regression and Bayesian Network Model

Factors Affecting Bone Mineral Density Among Snowy Region Residents in Japan: Analysis Using Multiple Linear Regression and Bayesian Network Model

Authors of this article:

Teppei Suzuki1 Author Orcid Image ;   Tomoko Shimoda1 Author Orcid Image ;   Noriko Takahashi1 Author Orcid Image ;   Kaori Tsutsumi1 Author Orcid Image ;   Mina Samukawa1 Author Orcid Image ;   Sadako Yoshimura1 Author Orcid Image ;   Katsuhiko Ogasawara1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Guo L, Han J, Guo H, Lv D, Wang Y. Pathway and network analysis of genes related to osteoporosis. Molecular Medicine Reports 2019 View
  2. Sase Y, Kumagai D, Suzuki T, Yamashina H, Tani Y, Fujiwara K, Tanikawa T, Enomoto H, Aoyama T, Nagai W, Ogasawara K. Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network. International Journal of Environmental Research and Public Health 2020;17(15):5271 View
  3. Goel D, Vohora D. Liver X receptors and skeleton: Current state-of-knowledge. Bone 2021;144:115807 View
  4. Shin D, Lee S, Oh S, Yoo C, Yang H, Jeon I, Park S. Probabilistic graphical modelling using Bayesian networks for predicting clinical outcome after posterior decompression in patients with degenerative cervical myelopathy. Annals of Medicine 2023;55(1) View
  5. Wu Y, Chao J, Bao M, Zhang N, Wang L. Construction of predictive model for osteoporosis related factors among postmenopausal women on the basis of logistic regression and Bayesian network. Preventive Medicine Reports 2023;35:102378 View
  6. Polotskaya K, Muñoz-Valencia C, Rabasa A, Quesada-Rico J, Orozco-Beltrán D, Barber X. Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review. Machine Learning and Knowledge Extraction 2024;6(2):1243 View

Books/Policy Documents

  1. Joshi B, Agarwal S, Ragha L, Yadav N. Advances in Signal Processing and Intelligent Recognition Systems. View