Discovery of Approximate Knowledge in Medical Databases Based on Rough Set Model

2002 ◽  
pp. 232-246 ◽  
Author(s):  
Shusaku Tsumoto
Keyword(s):  
Rough Set ◽  
Medical Databases

scholarly journals An Experimental Analysis on Rough Set Mean, Median, Mode Method of Dependency Values for Feature Selection in Medical Databases

2019 ◽  
Vol 8 (S1) ◽  
pp. 103-106
Author(s):  
S. Devi ◽  
V. Sasirekha
Keyword(s):  
Rough Set ◽  
Imperfect Information ◽  
Medical Data ◽  
Classification Algorithms ◽  
Data Set ◽  
Medical Databases ◽  
Mode Method ◽  
Long Time ◽  
Imperfect Knowledge ◽  
Successful Approach

The problem of imperfect knowledge has been tackled for a long time by philosophers, logicians and mathematicians. Recently it became an important issue for scientists, particularly in the area of Artificial Intelligence. Their square measure several approaches to the matter of the way to perceive and manipulate imperfect information. The most successful approach is based on the rough set notion proposed by Z. Pawlak in the article [1]. The proposed method to find the quick reduct in medical data set using the roughest theory. This method has applied in many classification algorithms and find the measures to calculate the accuracy of this proposed method.

scholarly journals Performance of Fuzzy Rough Sets and Fuzzy Evolutionary Classifiers using Medical Databases

2019 ◽  
Vol 8 (10) ◽  
pp. 4301-4304
Keyword(s):  
Rough Set ◽  
Relevant Information ◽  
Health Issues ◽  
Hybridization Method ◽  
Fuzzy Rough Set ◽  
Medical Databases ◽  
Hybrid Techniques ◽  
Fuzzy Classifiers ◽  
Day By Day ◽  
Better Than

As the technology improving, the problems of mankind, regarding health issues also increasing day by day. Nowadays high dimensionality data are available for various health problems which is very difficult to handle manually. The aim of this paper is to construct algorithms for extracting the relevant information from the large amount of data and classifying using various hybrid techniques like Fuzzy-Rough set and Fuzzy Evolutionary Algorithms. The efficiency of Fuzzy classifiers has been improved by hybridization method. This paper proposes a comparison of fuzzy hybrid techniques like Fuzzy Rough set and Fuzzy EA for the diagnosis of Hepatitis taken from UCI repository. The results of comparison and classification shows that the proposed technique performs better than other normal methods.

The Stress Respond, Related To the Opioid Abstinence And Detoxification: literature review

2014 ◽  
Vol 21 (1) ◽  
pp. 86-90
Author(s):  
Robertas Badaras ◽  
Gabija Dragelytė ◽  
Indrė Vaitekonytė ◽  
Juozas Ivaškevičius ◽  
Jūratė Šipylaitė
Keyword(s):  
Opioid Dependence ◽  
Financial Resources ◽  
Successful Completion ◽  
Minimum Risk ◽  
Medical Databases ◽  
Dosing Regimens ◽  
Naltrexone Treatment ◽  
Dopaminergic Pathways ◽  
Pituitary Adrenal Axis ◽  
Opioid Detoxification

Materials and Methods. Published articles on the opioid abuse and methods of opioid detoxification were identified by searching medical databases, using corresponding literature and were also searched manually for applicable papers. The search was limited to articles published from 1985 through 2014. Results. Opioid dependence determine pathophysiologic changes in the dopaminergic pathways of the organism, as well as the alterations in the stress-responsive hypothalamic-pituitary-adrenal axis. The usage of opioid antagonists in the early stages of withdrawal, can lead the effectiveness of opioid detoxification to 100%. Rapid opioid detoxification do not remove all the symptoms of abstinence. Negative aspects, concerning the procedure, while using prevention, can be reduced to the minimum risk. Rapid opioid detoxification, comparing it with Ultrarapid opioid detoxification procedure, diverges as less financial resources and a lower risk containing technique. Conclusions. Use of antagonists may reduce the duration of withdrawal, thus reducing the overall severity of withdrawal and increasing the chances of successful completion. This technique facilitates commencement of naltrexone treatment. Dosing regimens used in clinical trials vary. Subsequent results do not correlate with the methods of detoxification.

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