Open AccessMethodological Development of Mathematical Modeling Techniques in Health Care
Author(s) -
M. Seenivasan,
V. J. Chakravarthy,
P. Hakkim Devan Mydeen
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8862.019320
Subject(s) - health care , management science , computer science , decision tree , operations research , mathematical model , risk analysis (engineering) , service (business) , healthcare service , decision support system , medicine , engineering , artificial intelligence , business , economics , mathematics , marketing , statistics , economic growth
The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.