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Health related quality of life is one of the growing subjects used for evaluating health conditions among patients who suffer from specific ailment.It has been assumed that identification of the variables is able to mirror the one's general health conditions.However,formulating the extent of contribution is multiple variable towards overall health conditions is not straight forward as the arbitrary nature of HRQL variables.This paper aims to model the relationship between HRQL variables using an Integrated model of fuzzy inference system and linear regression.An experiment was conducted to measure the strength of the relationship between the variables and health indices among diabetes patients.To model this relationship,one hundred and fifty out patients with diabetes were drafted from a government funded hospital in Gbagada,Lagos state.Linguistics data were collected via guided interview and fed into the fuzzy inferences system to yield HRQL indices.Multi linear regression were then Carried out to establish the relationship between the variables and HRQL indices.The model shows that the variable of emotion was indenfied as the highest risk factor for diabetes patients.The use of integrated model,fuzzy inferences system and multi linear regression were successfully identified the strength of the relationship between the multi variables of HRQL and the health status.
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SIMILAR STATISTICS FINAL YEAR PROJECT RESEARCH TOPICS
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1. TIME SERIES ANALYSIS ON RAINFALL PATTERN IN CALABAR MUNICIPALITY FROM 2002-2014 A CASE STUDY OF NIGERIAN METEOLOGICAL CENTRE CALABAR
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2. STATISTICAL ANALYSIS OF BIRTH PATTERN
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3. STATISTICAL ANALYSIS OF MONETARY POLICY AND INFLATION IN NIGERIA (1998-2018)
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4. STATISTICAL ANALYSIS OF CRIMINAL OFFENCES RECORDED IN KUJE – ABUJA (FCT) FROM 1999 – 2007 (A CASE STUDY OF KUJE POLICE DIVISIONAL HEADQUARTERS,...
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5. DELAY ANALYSIS IN INDUSTRIAL PROJECTS BY USING RELATIVE IMPRTANCE INDEX METHOD
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6. MODELING CARDIAC OUT–PATIENT FLOW IN NNAMDI AZIKIWE UNIVERSITY TEACHING HOSPITAL (NAUTH) NNEWI WITH MONTE CARLO SIMULATION: AN APPLICATION ON QUEUEI...
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7. STATISTICAL ANALYSIS OF PREVALENCE MALNUTRITION ON CHILDREN ZERO TO FIVE YEARS
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8. THE STATISTICAL ANALYSIS OF THE EXPENDITURES AND INCOME OF NIGERIANS IN RELATION TO POVERTY. (A CASE STUDY OF NSIT-IBOM LGA AKWA-IBOM STATE)
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9. DETERMINANTS OF ECONOMIC GROWTH IN NIGERIA: AN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) MODELING APPROACH
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10. EFFECT OF FEATURE SELECTION AND DATASET SIZE ON THE ACCURACY OF NAÏVE BAYESIAN CLASSIFIER AND LOGISTICS REGRESSION
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