scholarly journals IMPLEMENTASI FUZZY DECISION TREE UNTUK PREDIKSI GAGAL GINJAL KRONIS

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Fitri Sofia Nur Khamidah ◽  
Dian Puspita Hapsari ◽  
Hendro Nugroho
Keyword(s):  
Renal Failure ◽  
Chronic Renal Failure ◽  
Decision Tree ◽  
Medical Practitioner ◽  
The Body ◽  
Training Data ◽  
Main Function ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
High Level

Fuzzy Decision Tree Implementation for Predicting Chronic Renal Failure. Kidney is one of the important organs for the body. The main function of kidney is for filtering process. The gradual decreasing of kidney function will lead to kidney disease and if it is left unchecked, it will lead to chronic renal failure. Chronic renal failure is a type of disease that can cause death. Until now there is no antidote for the disease of chronic renal failure, therefore this disease cannot be cured but its development can be slowed or stopped. The early diagnosis of this disease will help to prevent the fatal consequences. To diagnose the disease requires some laboratory tests in which the results of the test will be calculated and summed up by a doctor or medical practitioner. The development of science and technology, especially in the field of computers will help the doctor’s works in analyzing the results of laboratory test easier and faster. By some data as training data and implementing Fuzzy Decision Tree classification algorithm, it is expected to obtain high accuracy results that can be used as a reference for predicting chronic renal failure and avoid the occurrence of fatal consequences. The test was conducted by using some predetermined threshold and obtained the most optimal accuracy 98.28% with which indicated a fairly high level of accuracy. Thus the Fuzzy Decision Tree algorithm can be said to be able to predict the disease of chronic renal failure by the accuracy 98.28%.

Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic

2021 ◽  
Vol 213 ◽  
pp. 106676
Author(s):  
Saeed Mohammadiun ◽  
Guangji Hu ◽  
Abdorreza Alavi Gharahbagh ◽  
Reza Mirshahi ◽  
Jianbing Li ◽  
...  
Keyword(s):  
Decision Tree ◽  
Oil Spill ◽  
Regression Models ◽  
The Arctic ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Oil Spill Response ◽  
Response Method ◽  
Selection Of

Induction of fuzzy decision trees and its refinement using gradient projected-neuro-fuzzy decision tree

2014 ◽  
Vol 6 (4) ◽  
pp. 346 ◽  
Author(s):  
Swathi Jamjala Narayanan ◽  
Rajen B. Bhatt ◽  
Ilango Paramasivam ◽  
M. Khalid ◽  
B.K. Tripathy
Keyword(s):  
Decision Tree ◽  
Decision Trees ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Neuro Fuzzy ◽  
Fuzzy Decision Trees

scholarly journals Structure and function relationships of proteins based on polar profile: a review.

2016 ◽  
Vol 63 (2) ◽  
Author(s):  
Carlos Polanco ◽  
Thomas Buhse ◽  
Vladimir N Uversky
Keyword(s):  
Mathematical Structure ◽  
Quantitative Structure Activity Relationship ◽  
Multidrug Resistant ◽  
Training Data ◽  
Main Function ◽  
Pharmaceutical Drugs ◽  
Linear Sequence ◽  
Wide Range ◽  
High Level ◽  
And Function

Proteins in the post-genome era impose diverse research challenges, the main are the understanding of their structure-function mechanism, and the growing need for new pharmaceutical drugs, particularly antibiotics that help clinicians treat the ever- increasing number of Multidrug-Resistant Organisms (MDROs). Although, there is a wide range of mathematical-computational algorithms to satisfy the demand, among them the Quantitative Structure-Activity Relationship algorithms that have shown better performance using a characteristic training data of the property searched; their performance has stagnated regardless of the number of metrics they evaluate and their complexity. This article reviews the characteristics of these metrics, and the need to reconsider the mathematical structure that expresses them, directing their design to a more comprehensive algebraic structure. It also shows how the main function of a protein can be determined by measuring the polarity of its linear sequence, with a high level of accuracy, and how such exhaustive metric stands as a "fingerprint" that can be applied to scan the protein regions to obtain new pharmaceutical drugs, and thus to establish how the singularities led to the specialization of the protein groups known today.

scholarly journals Expected ages in the patients of chronic diseases

2016 ◽  
Vol 10 (4) ◽  
Author(s):  
Intesaruk Rashid Khan ◽  
Ahmed Imran Siddiqui ◽  
Wafa Aftab
Keyword(s):  
Heart Failure ◽  
Renal Failure ◽  
Retrospective Study ◽  
Chronic Disease ◽  
Chronic Renal Failure ◽  
Hepatic Cirrhosis ◽  
Disease Process ◽  
Chronic Illnesses ◽  
The Body ◽  
Medical Wards

This retrospective study was conducted to find out the expected ages in the patients of hepatic cirrhosis, chronic renal failure and heart failure. This study thus covers most of the patients of out medical wards presenting with chronic illnesses. On comparison of these expected ages it is also found that the expected age in all these three groups is not much different. So, the disease process or the mechanism of the chronic disease in the body may be different, but somehow the final out come is not much different in terms of life span.

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