Open AccessLEVERAGING DATA MINING TECHNIQUES IN ENHANCING THE EFFICACY OF HEALTHCARE IN THIRD WORLD COUNTRIES: SPOTLIGHT ON TURKISH CASE STUDY
Author(s) -
Anshika Arshia Chadha
Publication year - 2021
Publication title -
international journal of research in medical sciences and technology
Language(s) - English
Resource type - Journals
eISSN - 2455-5134
pISSN - 2455-9059
DOI - 10.37648/ijrmst.v11i02.008
Subject(s) - chaid , business , turkish , work (physics) , public health , health care , finance , public relations , computer science , medicine , engineering , economics , political science , nursing , data mining , economic growth , decision tree , mechanical engineering , linguistics , philosophy
This paper presents a utilization of the information mining technique to decide thefinancial profiles of the public clinics in Turkey. The review depends on the informationaccumulated in 2004, covering 645 public clinics run by the Ministry of Health (MoH)as the fundamental supplier of essential and optional wellbeing administrations inTurkey. The public medical clinics, as of now financed by a combination of assetsallotted from the overall spending plan and separately worked rotating reserves, needcritical answers for their financial issues as a piece of a continuous public changeexertion. The examination takes on the Chi-Square Automatic Interaction Detector(CHAID) choice tree calculation, as one of the most efficient and cutting-edgeinformation digging technique utilized for division.The investigation has discovered that the public clinics could be sorted by the CHAIDinto 12 unique profiles as far as their financial execution. These profiles have directed usin deciding the key financial markers to be engaged upon in the public emergencyclinics and present accepted procedures to work on their individual financial exhibitions.The findings have likewise permitted strategy ideas regarding the financial techniquesthat might be considered in working on the financial execution of the public medicalclinics toward an effective wellbeing area change in Turkey.