Identification of gender differences in the factors influencing shoulders, neck and upper limb MSD by means of multivariate adaptive regression splines (MARS)-Reference-Cited by-同舟云学术

Identification of gender differences in the factors influencing shoulders, neck and upper limb MSD by means of multivariate adaptive regression splines (MARS)

Published:2020-01 Issue: Volume:82 Page:102981
ISSN:0003-6870
Container-title:Applied Ergonomics
language:en
Short-container-title:Applied Ergonomics

Author:

Busto Serrano N.^ORCID,Suárez Sánchez A.,Sánchez Lasheras F.,Iglesias-Rodríguez F.J.,Fidalgo Valverde G.

Publisher

Elsevier BV

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Engineering (miscellaneous),Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference59 articles.

1. Forecasting the cyanotoxins presence in fresh waters: a new model based on genetic algorithms combined with the MARS technique;Alonso Fernández;Ecol. Eng.,2013

2. Battery state-of-charge estimator using the SVM technique;Álvarez Antón;Appl. Math. Model.,2013

3. Artificial neural networks applied to cancer detection in a breast screening programme;Álvarez Menéndez;Math. Comput. Model.,2010

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Time series analysis for COMEX platinum spot price forecasting using SVM, MARS, MLP, VARMA and ARIMA models: A case study;Resources Policy;2024-08

2. A systematic review of research on sitting and working furniture ergonomic from 2012 to 2022: Analysis of assessment approaches;Heliyon;2024-04

3. Converting laundry work of women in underdeveloped countries from risk of musculoskeletal disorders to a sustainable intervention: A design with holistic approach;Human Factors and Ergonomics in Manufacturing & Service Industries;2024-03-21

4. Assessment of Load Manual Lifting among Shelf-Stoking Workers in Chain Stores: A Cross-Sectional Study;Applied Bionics and Biomechanics;2024-01-17

5. Occupational Factors on Work-Related Musculoskeletal Disorders in the Neck of Office Workers with Machine Learning Methods Modeling the Impact of Ergonomic Interventions and;J RES HEALTH SCI;2024