Title
Identifying child abuse through text mining and machine learning.
Abstract
•A study to based on a large children’s health dataset that is complete in terms of quality and quantity•A comparison of machine learning methods using structured and unstruc-tured data for this task,•The evaluation of some of these methods through health care professionals, and,•An implementation of the prediction model in the municipality through an API.
Year
DOI
Venue
2017
10.1016/j.eswa.2017.06.035
Expert Systems with Applications
Keywords
Field
DocType
Child abuse,Decision support,Text mining,Machine learning
Public health,Health care,Data science,Data mining,Text mining,Computer science,Decision support system,Artificial intelligence,Delegation (computing),Machine learning
Journal
Volume
ISSN
Citations 
88
0957-4174
5
PageRank 
References 
Authors
0.45
16
4
Name
Order
Citations
PageRank
chintan amrit116019.11
Tim Paauw250.45
Robin Aly326326.80
Miha Lavric450.45