Predicting occupational injury causal factors using text-based analytics: A systematic review
Workplace accidents can cause a catastrophic loss to the company including human injuries and fatalities. Occupational injury reports may provide a detailed description of how the incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. Th...
Saved in:
Main Authors: | Mohamed Zul Fadhli Khairuddin (Author), Khairunnisa Hasikin (Author), Nasrul Anuar Abd Razak (Author), Khin Wee Lai (Author), Mohd Zamri Osman (Author), Muhammet Fatih Aslan (Author), Kadir Sabanci (Author), Muhammad Mokhzaini Azizan (Author), Suresh Chandra Satapathy (Author), Xiang Wu (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2022-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Editorial: Emerging applications of text analytics and natural language processing in healthcare
by: Khairunnisa Hasikin, et al.
Published: (2023) -
COVID-19 Isolation Control Proposal via UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls
by: Muhammet Fatih Aslan, et al.
Published: (2022) -
An automated solid waste detection using the optimized YOLO model for riverine management
by: Nur Athirah Zailan, et al.
Published: (2022) -
Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis
by: Yew Sum Leong, et al.
Published: (2022) -
Brain Tumour Temporal Monitoring of Interval Change Using Digital Image Subtraction Technique
by: Azira Khalil, et al.
Published: (2021)