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Hybrid Multi-Cloud based Disease Prediction Model for Type II Diabetes
2020
International Journal of Engineering and Advanced Technology
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The devised classification algorithm with a Soft-Set approach was deployed in a Multi-Cloud environment for enhancing the storage and retrieval of data with reduced response and computation time. ...
percentage of diabetic risk using soft intelligent rules and stores them in a separate knowledge base. ...
The devised classification algorithm with a Soft-Set approach was deployed in a Multi-Cloud environment for enhancing the storage and retrieval of data with reduced response and computation time. ...
doi:10.35940/ijeat.c5680.029320
fatcat:ugf7jblj5fhalf3c7lzfq3xg3i
Disease Diagnosis using Soft Computing Model: A Digest
2014
International Journal of Computer Applications
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Those attributes can be taken as input for the proposed symptom analysis and classification model, which is a soft computing model for classifying a sample first to be diseased or disease free and then ...
For example, data mining and soft computing methods may offer a constructive result.
WHY SOFT COMPUTING? ...
doi:10.5120/17855-8828
fatcat:hdyp2ce3v5dadgzyteeqpbz3cy
Diabetic Retinopathy, an Eye Disease Prediction System: Survey
2019
International Journal for Research in Applied Science and Engineering Technology
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The Digital Retinal Fundus image is analysed for the classification of various stages of Diabetic Retinopathy (DR). ...
There are a large number of diabetes patients globally, this process is expensive as well as time consuming. ...
"Evolutionary Computing
Enriched Computer Aided
Diagnosis System For
Diabetic Retinopathy: A
Survey"
Romany F. Mansour
1. ...
doi:10.22214/ijraset.2019.1035
fatcat:k7w75y7vqbeepi6ji7xxomwbpm
A Novel Approach for the Detection and Classification of Diabetic Retinopathy
2015
International Journal on Recent and Innovation Trends in Computing and Communication
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Diabetic Retinopathy is one of a complicated diabetes which can cause blindness .It is a metabolic disordered. patients perceive no symptoms until the disease is at late stage. ...
The objectives of this paper are 1) classify different stages of non proliferative diabetic retinopathy (NPDR) as mild NPDR, Moderate NPDR, Severe NPDR. 2)classification of micro aneurysms and exudates ...
Here to develop the merge techniques for classification of NPDR & PDR .Also calculating the severity by using soft computing tools(MATLAB). ...
doi:10.17762/ijritcc2321-8169.150313
fatcat:osvc5lkjgfc75bvcirl6od3gzq
Soft-computing: An Objective Approach in Varied Diabetes Recognition
2014
Journal of Biomedical Engineering and Medical Imaging
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This research paper proposed an objective approach utilizing soft-computing techniques for the recognition of five class of diabetes. ...
Existing approach for the recognition of diabetes are to two classes (Type I and Type II) in addition to their subjective approach. ...
This research paper proposed an objective soft-computing approach utilizing the three fundamental concepts; neural network, genetic algorithm and fuzzy logic as a means for recognition five class of diabetes ...
doi:10.14738/jbemi.15.402
fatcat:brul6iustrg7xppjetgxetzxla
An Effective Diagnosis of Diabetic Retinopathy with Aid of Soft Computing Approaches
2016
Journal of Energy and Power Engineering
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Proposed effective soft computing approaches should improve the sensitivity, specificity and accuracy. ...
To overcome those problems and also automatically detect DR in easier and faster way, we took into soft computing approaches in our proposed work. ...
Soft computing approaches [5, 6] are mostly focused on automatically detection, segmentation and classification process. Soft computing approaches are very commonly encouraged for medical images. ...
doi:10.17265/1934-8975/2016.08.003
fatcat:24uho2ba3ngpbjhukzakcw264a
A Novel Approach for Detection of Microaneurysms in Diabetic Retinopathy Disease from Retinal Fundus Images
2016
Computer and Information Science
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This paper presents a new approach to detect MAs. ...
Diabetic Retinopathy (DR) is a leading cause of blindness in human beings aged between 20 to 74 years. ...
It is sim
fies the diabe
computing app
f soft computin
Soft computin
works for lear
odels belief pro
nd Information S
2
as Micro aneu
d on blood vess
f blood vessel
. ...
doi:10.5539/cis.v10n1p1
fatcat:efkl4l7zebbthox3bwycfgx2ra
Soft computing techniques for early diabetes prediction
2022
Indonesian Journal of Electrical Engineering and Computer Science
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A comparative analysis based on three soft computing strategies for diabetes prediction has been carried out and achieved in this work. ...
Diabetes mellitus is a chronic, life-threatening, and complicated condition. ...
Baidaa Al-Bander for her advice through conducting this work. ...
doi:10.11591/ijeecs.v25.i2.pp1167-1176
fatcat:op7krxb6yjb4hkbatn3d4o46ru
Cost Effective Approach on Feature Selection Using Genetic Algorithms and Fuzzy logic for Diabetes Diagnosis
2011
International Journal of Soft Computing
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A way to enhance the performance of a model that combines genetic algorithms and fuzzy logic for feature selection and classification is proposed. ...
Early diagnosis of any disease with less cost is preferable. Diabetes is one such disease. ...
NECESSITY FOR COST EFFECTIVE APPROACHES: People all around the world expect a better approach for the diagnosis of any disease. ...
doi:10.5121/ijsc.2011.2101
fatcat:q4ugdt34ovgydew6b4v2sz2qpy
Discriminative convolution neural network architecture for diagnosis of diabetic retinopathy through classification and progression prediction of lesions grading in color fundus images of retina
2022
International Journal of Health Sciences
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Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes lesions on the retina that effect vision. ...
towards diagnosis of diabetic retinopathy through classification and progression prediction of lesion grading in fundus image of Retina. ...
The results has been validated on 5 fold validation with groundtruth images for lesions (Microaneurysms, Haemorrhages, Hard Exudates and Soft Exudates) and disease grading for Diabetic Retinopathy and ...
doi:10.53730/ijhs.v6ns2.7731
fatcat:feb2uxc6kbbzpmwf7kfo6fc4zi
Detection of Retinal Blood Vessels for Disease Prediction using Machine Learning
2019
International Journal for Research in Applied Science and Engineering Technology
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Retinal diseases like glaucoma, diabetic retinopathy, age-related macular degeneration, stargardt's disease, retinopathy of prematurity that can lead to blindness manifest as artifacts in the retinal image ...
This process is expensive as well as time consuming as there are huge number of diabetes patients worldwide. The automatic DR system is expanded to predict various related diseases that are analyzed. ...
: Color based approach for identifying hemorrhages, hard exudates, and soft exudates. ...
doi:10.22214/ijraset.2019.5552
fatcat:q5ehjwox4bb5veyedoy33cuhxm
Data Mining, Soft Computing, Machine Learning and BioInspired Computing for Heart Disease Classification/ Prediction – A Review
2017
International Journal of Advanced Research in Computer Science and Software Engineering
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In this survey research article we aim to portray various data mining algorithms, soft computing techniques, machine learning algorithms and bio-inspired algorithms for predicting / classifying heart disease ...
Data mining is the most common research area in the field of computer science and allied areas. Decision making in clinical data mining plays a significant role in patient's life. ...
Also the authors further published a work on Fuzzy Logic System for Risk-Level Classification of Diabetic Nephropathy [20] . ...
doi:10.23956/ijarcsse/v7i4/0156
fatcat:6umrnxncxve55ejgzpkhaeoxpy
Machine Learning Algorithms and Wireless Sensor Network Applied to Medical Diagnosis: A Systematic Review
2019
American Journal of Electromagnetics and Applications
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In this research work systematic approach were used to conduct a survey on recent contributions of the authors that applied Machine learning algorithms or computational intelligence, Artificial intelligence ...
, Adaptive Neuro-fuzzy, Neuro-genetic, fuzzy-genetic, and so on that is soft computing to medical diagnosis and also a systematic review on the application of wireless sensor network, wireless sensor is ...
a, b, c, and d and it is given by the expression ( ) ; , , , max min ,1, ,0 x a d x f x a b c d b a d c − − = − − (4)
Soft Computing In soft computing that is when two ...
doi:10.11648/j.ajea.20190702.13
fatcat:6qiqz27scna6jhqg46w74n6ttq
DESIGN AND DEVELOP A COMPUTER AIDED DESIGN FOR AUTOMATIC EXUDATES DETECTION FOR DIABETIC RETINOPATHY SCREENING
2015
International Journal on Intelligent Electronic Systems
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In this a Three Stage -[TS] approach is introduced for detecting and extracting the exudates automatically for screening the Diabetic retinopathy. ...
Diabetic Retinopathy is a severe and widely spreadeye disease which can lead to blindness where one of the main symptoms for vision loss is Exudates and it could be prevented by applying an early screening ...
The soft versus hard exudates are detected from diabetic retinal images using TS approach is shown in Figure- 2 and in Figutre-3. ...
doi:10.18000/ijies.30143
fatcat:v2dczdxrqvgmtmybcesrgcvqri
Diabetic Prediction using Classification Method
2020
International journal of recent technology and engineering
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These tasks are input dataset, feature extraction and classification. The earlier framework makes use of SVM and naïve bayes approaches for predicting this disease. ...
This study implements voting classifier for prediction purpose. It is an ensemble approach. This classifier combines three classification models. These models are SVM, naïve bayes and decision tree. ...
The ultimate outcomes are generated by applying soft voting based approach. This approach generates most accurate diabetes forecasting outcomes. ...
doi:10.35940/ijrte.f9718.079220
fatcat:atlxglbgqjdo3k6dl2qmuk2ahu
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