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Physiological State Evaluation in Working Environment Using Expert System and Random Forest Machine Learning Algorithm.

Publicado en:Healthcare (2227-9032) Vol. 11; no. 1; pp. 220 - 237
Autores principales: Butkevičiūtė, Eglė, Bikulčienė, Liepa, Žvironienė, Aušra
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: MDPI Jan2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2023
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        atl: Physiological State Evaluation in Working Environment Using Expert System and Random Forest Machine Learning Algorithm.
      aug:
        au:
          Butkevičiūtė, Eglė
          Bikulčienė, Liepa
          Žvironienė, Aušra
        affil: Department of Software Engineering, Kaunas University of Technology, 51368 Kaunas, Lithuania
      sug:
        subj:
          Physiological Processes Evaluation
          Work Environment
          Expert Systems Utilization
          Random Forest Methods
          Machine Learning Methods
          Algorithms
          Human
          Male
          Female
          Adult
          Middle Age
          Finland
          Life Style Evaluation
          Evaluation Research
          Infant Mortality Prevention and Control
          Fatigue Syndrome, Chronic Prevention and Control
          Mental Disorders Prevention and Control
          Chronic Disease
          Health Behavior
          Obesity
          Logic
          Human Body
          Accidents, Occupational
          Questionnaires
          Physical Activity
          Psychological Well-Being
          Health Status
          Employee Attitudes
          Self Report
          Disability Evaluation
          Decision Making
          COVID-19 Pandemic
          Mobile Applications
          Descriptive Statistics
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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