Zobrazeno 1 - 10
of 10
pro vyhledávání: '"David C, Robins"'
Autor:
Steven J, Wurzelbacher, Stephen J, Bertke, Michael P, Lampl, P Timothy, Bushnell, David C, Robins, Steven J, Naber, Libby L, Moore
Publikováno v:
J Occup Environ Med
This study evaluated the impact of a state workers’ compensation (WC) insurer’s onsite risk control (RC) services on insured employers’ WC claim frequency and cost. METHODS: We used two methods to model 2004 to 2017 claims data from 4606 employ
Autor:
Alysha R. Meyers, Steven J. Naber, P. Timothy Bushnell, Steven J. Wurzelbacher, Stephen J. Bertke, Chih-Yu Tseng, David C. Robins, Michael P. Lampl
Publikováno v:
J Safety Res
Introduction: This study analyzed workers’ compensation (WC) claims among private employers insured by the Ohio state-based WC carrier to identify high-risk industries by detailed cause of injury. Methods: A machine learning algorithm was used to c
Publikováno v:
J Am Med Inform Assoc
ObjectiveDiabetic kidney disease (DKD) is one of the most frequent complications in diabetes associated with substantial morbidity and mortality. To accelerate DKD risk factor discovery, we present an ensemble feature selection approach to identify a
Autor:
Alysha R. Meyers, Steven J. Wurzelbacher, Chia Wei, Teresa M. Schnorr, Jill A. Raudabaugh, P. Timothy Bushnell, Stephen J. Bertke, Thomas M. Haviland, Michael P. Lampl, Chih-Yu Tseng, Ibraheem S. Al-Tarawneh, David C. Robins
Publikováno v:
American Journal of Industrial Medicine. 59:1087-1104
Background Workers’ compensation (WC) claims data may be useful for identifying high-risk industries and developing prevention strategies. Methods WC claims data from private-industry employers insured by the Ohio state-based workers’ compensatio
Autor:
Steven J. Wurzelbacher, Alysha R. Meyers, David C. Robins, A. Measure, Stephen J. Bertke, Michael P. Lampl
Publikováno v:
Accident Analysis & Prevention. 88:117-123
Manually reading free-text narratives in large databases to identify the cause of an injury can be very time consuming and recently, there has been much work in automating this process. In particular, the variations of the naïve Bayes model have bee
Autor:
P. Timothy Bushnell, Steven J. Wurzelbacher, Chia Wei, Stephen J. Bertke, David C. Robins, Audrey A. Reichard, Michael P. Lampl, Chih-Yu Tseng, Ibraheem S. Al-Tarawneh, Alysha R. Meyers, Srinivas Konda
Publikováno v:
American journal of industrial medicine. 61(12)
BACKGROUND Ambulance service workers frequently transfer and transport patients. These tasks involve occupational injury risks such as heavy lifting, awkward postures, and frequent motor vehicle travel. METHODS We examined Ohio workers' compensation
Autor:
Teresa M. Schnorr, Steven J. Wurzelbacher, Chia Wei, Michael P. Lampl, Alysha R. Meyers, Ibraheem S. Al-Tarawneh, Jennifer L. Bell, P. Timothy Bushnell, David C. Robins, Stephen J. Bertke, Chih-Yu Tseng, Jill A. Raudabaugh
This study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry.Injury causation auto-coding methods were developed to code more than 1.2 million Ohio Bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f5427832872fd57f3be0641ca40b4f
https://europepmc.org/articles/PMC5868484/
https://europepmc.org/articles/PMC5868484/
Autor:
Ibraheem S. Al-Tarawneh, P. Timothy Bushnell, Alysha R. Meyers, Stephen J. Bertke, Steven J. Wurzelbacher, Michael P. Lampl, David C. Robins
Publikováno v:
American Journal of Industrial Medicine. 57:1398-1412
Background This study evaluated the effectiveness of a program in which a workers' compensation (WC) insurer provided matching funds to insured employers to implement safety/health engineering controls. Methods Pre- and post-intervention WC metrics w
Autor:
Steven J, Wurzelbacher, Ibraheem S, Al-Tarawneh, Alysha R, Meyers, P Timothy, Bushnell, Michael P, Lampl, David C, Robins, Chih-Yu, Tseng, Chia, Wei, Stephen J, Bertke, Jill A, Raudabaugh, Thomas M, Haviland, Teresa M, Schnorr
Publikováno v:
American journal of industrial medicine. 59(12)
Workers' compensation (WC) claims data may be useful for identifying high-risk industries and developing prevention strategies.WC claims data from private-industry employers insured by the Ohio state-based workers' compensation carrier from 2001 to 2
Autor:
Alysha R. Meyers, Steven J. Wurzelbacher, Jennifer L. Bell, Stephen J. Bertke, David C. Robins, M.L. Lampl
Tracking and trending rates of injuries and illnesses classified as musculoskeletal disorders caused by ergonomic risk factors such as overexertion and repetitive motion (MSDs) and slips, trips, or falls (STFs) in different industry sectors is of hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d88bd61b7a9e3c645070bebcda713abe
https://europepmc.org/articles/PMC4550086/
https://europepmc.org/articles/PMC4550086/