[Quantitative evaluation of the effect of working conditions on morbidity with temporary disability]. 1990

I M Suslov, and G I Suslov, and L I Kniazeva, and Iu A Sheenko

UI MeSH Term Description Entries
D009784 Occupational Diseases Diseases caused by factors involved in one's employment. Diseases, Occupational,Occupational Illnesses,Disease, Occupational,Illnesse, Occupational,Illnesses, Occupational,Occupational Disease,Occupational Illnesse
D009787 Occupational Medicine Medical specialty concerned with the promotion and maintenance of the physical and mental health of employees in occupational settings. Industrial Medicine,Medicine, Industrial,Medicine, Occupational
D004185 Disability Evaluation Determination of the degree of a physical, mental, or emotional handicap. The diagnosis is applied to legal qualification for benefits and income under disability insurance and to eligibility for Social Security and workmen's compensation benefits. Disability Evaluations,Evaluation, Disability,Evaluations, Disability
D004738 Engineering The practical application of physical, mechanical, and mathematical principles. (Stedman, 25th ed) Engineerings
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D013997 Time Factors Elements of limited time intervals, contributing to particular results or situations. Time Series,Factor, Time,Time Factor
D014586 USSR A country located from the Baltic and Black seas to the Pacific Ocean and, for a time including 15 Soviet Socialist Republics. The capital was Moscow. Soviet Union,Union of Soviet Socialist Republics
D014940 Work Schedule Tolerance Physiological or psychological effects of periods of work which may be fixed or flexible such as flexitime, work shifts, and rotating shifts. Schedule Tolerance, Work,Schedule Tolerances, Work,Tolerance, Work Schedule,Tolerances, Work Schedule,Work Schedule Tolerances
D016014 Linear Models Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression. Linear Regression,Log-Linear Models,Models, Linear,Linear Model,Linear Regressions,Log Linear Models,Log-Linear Model,Model, Linear,Model, Log-Linear,Models, Log-Linear,Regression, Linear,Regressions, Linear

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