AIMC Topic: United States Occupational Safety and Health Administration

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Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies.

Occupational and environmental medicine Apr 21, 2016
BACKGROUND: Mapping job titles to standardised occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiological studies. Because manual coding is time-consuming and has moderate reliability, we de...
Humans Software Algorithms Reproducibility of Results Case-Control Studies Logistic Models United States Natural Language Processing Epidemiologic Studies Industry Carcinoma, Renal Cell Job Description Epidemiologic Methods Occupations United States Occupational Safety and Health Administration
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Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases.

Work (Reading, Mass.) Jan 1, 2020
BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and a...
Humans Artificial Intelligence Machine Learning Pandemics COVID-19 Delivery of Health Care Big Data United States Coronavirus Infections Occupational Health Expert Systems Work United States Occupational Safety and Health Administration Return to Work Pneumonia, Viral
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