Identifying child abuse through text mining and machine learning

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Child abuse,Decision support,Text mining,Machine learning

论文评审过程：Received 15 November 2016, Revised 19 May 2017, Accepted 22 June 2017, Available online 5 July 2017, Version of Record 20 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.035