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 amrit | 1 | 160 | 19.11 |
Tim Paauw | 2 | 5 | 0.45 |
Robin Aly | 3 | 263 | 26.80 |
Miha Lavric | 4 | 5 | 0.45 |