AIMC Topic: Employment
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Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees.
PloS one
May 15, 2020
At present, many researchers see hope that artificial intelligence, machine learning in particular, will improve several aspects of the everyday life for individuals, cities and whole nations alike. For example, it has been speculated that the so-cal...
Embracing the robotic revolution into anaesthetic practice.
Anaesthesia
Jan 16, 2020
Psychological reactions to human versus robotic job replacement.
Nature human behaviour
Aug 5, 2019
Advances in robotics and artificial intelligence are increasingly enabling organizations to replace humans with intelligent machines and algorithms. Forecasts predict that, in the coming years, these new technologies will affect millions of workers i...
Seroprevalence of antibodies for pertussis and diphtheria among people leaving or entering China: a cross-sectional study.
Journal of infection in developing countries
May 31, 2019
INTRODUCTION: Despite high population immunity, pertussis remains one of the leading causes of vaccine-preventable deaths worldwide. The aim of this study was to determine the seroprevalence of IgG antibodies to pertussis toxin (PT) and diphtheria am...
How Employability Attributes Mediate the Link Between Knowledge Workers' Career Adaptation Concerns and Their Self-Perceived Employability.
Psychological reports
May 6, 2019
The study examines employability attributes as psychological mechanisms that explain the link between the career adaptation concerns and self-perceived employability of a sample of professionally qualified knowledge workers (N = 404). A cross-section...
Measuring social, environmental and health inequalities using deep learning and street imagery.
Scientific reports
Apr 18, 2019
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health outcomes in cities with high spatial and temporal resolution, needed to evaluate policies regarding ur...
Predicting one-year outcome in first episode psychosis using machine learning.
PloS one
Mar 7, 2019
BACKGROUND: Early illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study object...
Identifying causal mechanisms in health care interventions using classification tree analysis.
Journal of evaluation in clinical practice
Nov 3, 2017
RATIONALE, AIMS, AND OBJECTIVES: Mediation analysis identifies causal pathways by testing the relationships between the treatment, the outcome, and an intermediate variable that mediates the relationship between the treatment and outcome. This paper ...
Death by Robots? Automation and Working-Age Mortality in the United States.
Demography
Apr 1, 2022
The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. population health trends, including rising mortality due to "deaths of despair." Increasing automation-the use of industrial robots to perform tasks previo...
Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management.
Journal of occupational rehabilitation
Sep 1, 2020
PURPOSE: This paper aims to illustrate an example of how to set up a work injury database: the Smart Work Injury Management (SWIM) system. It is a secure and centralized cloud platform containing a set of management tools for data storage, data analy...
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