Disease Prediction Model Using Decision Tree Algorithm
(Case Study for Caloocan City Government, Philippines)
(Sprache: Englisch)
Information Technology is everywhere: in the government, in the academe, in military, in our social life and in health. Technology advancement in the field of health is in a high leap especially with the occurrence of highly contagious diseases that killed...
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Information Technology is everywhere: in the government, in the academe, in military, in our social life and in health. Technology advancement in the field of health is in a high leap especially with the occurrence of highly contagious diseases that killed thousands already. I.T. is being employed in the search of cure, maintenance and monitoring. This research focus on the monitoring of diseases in the City of Caloocan, Philippines. It aims to determine the extent of a disease in the community and to use demographic, socio-economic profiles and medical history of residents to create a model that will predict occurrence of diseases using data mining-decision tree.
Autoren-Porträt von Teodoro A Macaraeg Jr
Macaraeg Jr, Teodoro ADr. Teodoro A. Macaraeg Jr. is a graduate of Computer Engineering at PUP. He finished his Masteral and Doctor of Public Administration at the University of Caloocan City where he is the Head of the Computer Studies at the Director of MIS. He is working on his dissertation for the degree in Doctor in Information Technology at the AMA University.
Bibliographische Angaben
- Autor: Teodoro A Macaraeg Jr
- 2021, 120 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203409928
- ISBN-13: 9786203409925
Sprache:
Englisch
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