MODEL DIAGNOSIS PENYAKIT DEGENERATIF MENGGUNAKAN DECISION TREE ITERATIVE DICHOTOMISER 3 BERDASARKAN KOMBINASI KEANGGOTAAN FUZZY

KRESNAWATI, ENDANG SRI and Resti, Yulia and Suprihatin, Bambang (2024) MODEL DIAGNOSIS PENYAKIT DEGENERATIF MENGGUNAKAN DECISION TREE ITERATIVE DICHOTOMISER 3 BERDASARKAN KOMBINASI KEANGGOTAAN FUZZY. Doctoral thesis, Sriwijaya University.

	Text RAMA_44001_08013681823005.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_44001_08013681823005_TURNITI.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (22MB) | Request a copy
	Text RAMA_44001_08013681823005_0019077302_0026017102_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (593kB)
	Text RAMA_44001_08013681823005_0019077302_0026017102_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_44001_08013681823005_0019077302_0026017102_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (849kB) | Request a copy
	Text RAMA_44001_08013681823005_0019077302_0026017102_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_44001_08013681823005_0019077302_0026017102_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (284kB) | Request a copy
	Text RAMA_44001_08013681823005_0019077302_0026017102_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (476kB) | Request a copy

Abstract

Degenerative diseases are one of the leading causes of chronic disability on a global scale, significantly affecting the quality of life of sufferers. These diseases also burden the health care system and individuals financially. The implementation of preventive strategies can be postponed until accurate prediction of disease status can be achieved. Degenerative diseases that are the main cause of death in many countries are coronary heart disease (CHD), while diabetes mellitus disease (DMD) increases the risk of CHD. Most of the predictor variables from the data set to predict the status of both diseases are continuous, but not all prediction methods can process continuous data, one of which is Decision Tree Iterative Dichotomiser3 (DTID3) method. This work aims to predict the status of both degenerative diseases, CHD and DMD using the DTID3 method with continuous type predictor variables transformed using discretization with the concept of set membership. Seven prediction models using the DTID3 method are proposed to predict the status of each degenerative disease. One DTID3 model uses the concept of crisp set membership, and six DTID3 models use the concept of fuzzy set membership (FDTID3). Each prediction model of FDTID3 represents one combination of fuzzy membership functions in discretizing continuous predictor variables, and one combination consists of three membership functions. The performance of the proposed FDTID3 model depends on the fuzzy membership functions used. The hypothesis that the performance of the seven proposed models dJikafers at least in one metric and that the performance of the FDTID3 models is higher than the DTID3 model discretized using the concept of crisp sets has been proven.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	DTID3; Degenerative Disease Status; Discretization; Fuzzy Membership Function; Model Performance
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	08-Faculty of Mathematics and Natural Science > 44001-Mathematics and Natural Science (S3)
Depositing User:	Endang Sri Kresnawati
Date Deposited:	31 Jan 2025 02:58
Last Modified:	31 Jan 2025 02:58
URI:	http://repository.unsri.ac.id/id/eprint/167339

Actions (login required)

View Item