Preventing workplace accidents in construction : data mining and analytics strategies
The construction industry is vital to any national economy; it is also one of the industries most susceptible to workplace incidents. The unacceptably high rates of incidents in construction have huge socio-economic consequences for the victims, their families and friends, co-workers, employers and...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Abingdon, Oxon ; New York, NY :
Routledge,
2020.
|
| Series | Spon research.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781315110462 1315110466 9781351616133 1351616137 9781351616140 1351616145 9781351616126 1351616129 9781138087453 1138087459 |
| Physical Description | 1 online resource |
Cover
Table of Contents:
- Curtailing construction fatalities using analytics
- Reducing uncertainties in compensation for occupational diseases in construction using analytics
- Curbing psychological injuries in construction using analytics
- Predicting and preventing secondary psychological injuries in construction using analytics.