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Hybrid Multi-Cloud based Disease Prediction Model for Type II Diabetes

2020 International Journal of Engineering and Advanced Technology  
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

Mohammed AbdullahAlghamdi, Sunil G. Bhirud, M. Afshar Alam
2014 International Journal of Computer Applications  
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

Sheetal Mutha
2019 International Journal for Research in Applied Science and Engineering Technology  
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

Kiran R
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
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

Obi Jonathan Chukwuyeni, A A Imianvan
2014 Journal of Biomedical Engineering and Medical Imaging  
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

Nasr Y. Gharaibeh, Abdullah A. Alshorman
2016 Journal of Energy and Power Engineering  
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

Nasr Y. Gharaibeh
2016 Computer and Information Science  
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

Sabah Anwer Abdulkareem, Hussein Y. Radhi, Yousra Ahmed Fadil, Hussain Mahdi
2022 Indonesian Journal of Electrical Engineering and Computer Science  
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

E.P Ephzibah
2011 International Journal of Soft Computing  
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

R. Senthilkumar, A. Bharathi, S. Daniel Madan Raja
2022 International Journal of Health Sciences  
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

Shruti Wagh
2019 International Journal for Research in Applied Science and Engineering Technology  
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

M. Rathi, B. Narasimhan
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
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

Ibrahim Goni
2019 American Journal of Electromagnetics and Applications  
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

C.A SATHIYAMOORTHY, G KULANTHAIVEL
2015 International Journal on Intelligent Electronic Systems  
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  
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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