A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis

S El-Sappagh, M Elmogy, AM Riad - Artificial intelligence in medicine, 2015 - Elsevier
Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …

Perbandingan Algoritma Klasifikasi Data Mining Untuk Prediksi Penyakit Kulit

D Prajarini - INFORMAL: Informatics Journal, 2016 - jurnal.unej.ac.id
Skin diseases often thought as a insignificant problem compared to diseases with high
mortality, such as HIV/AIDS, ischemic heart disease, stroke, tuberculosis, malaria and …

Prediction and diagnosis of diabetic retinopathy using data mining technique

H Evirgen, M Çerkezi - TOJSAT, 2014 - dergipark.org.tr
Diabetic retinopathy is the most common form of eye problem affecting people with diabetes,
usually only affects people who have had diabetes for a long time period and can result in …

A case-base fuzzification process: diabetes diagnosis case study

S El-Sappagh, M Elmogy, F Ali, KS Kwak - Soft Computing, 2019 - Springer
Medical case-based reasoning (CBR) systems require the handling of vague or imprecise
data. The fuzzy set theory is particularly suitable for this purpose. This paper proposes a …

[PDF][PDF] Diabetic retinopathy classification using support vector machine with hyperparameter optimization

NI Ab Kader, U Yusof, S Naim - Int. J. Advance Soft Compu. Appl, 2019 - i-csrs.org
Diabetic Retinopathy (DR) is one of the frequent comorbidities of diabetes worldwide.
Diabetic eye screening has become a challenging task for ophthalmologist as they need to …

Asthma diagnosis and level of control using decision tree and fuzzy system

A Tyagi, P Singh - International Journal of Biomedical …, 2014 - inderscienceonline.com
Asthma is a chronic lung disease caused due to shorten airway path of the patient.
Development of a symptom-based decision support system will help in effective diagnosis …

Integrating association rules and case-based reasoning to predict retinopathy

V Balakrishnan, MR Shakouri… - … International Journal of …, 2012 - search.proquest.com
This study proposes a retinopathy prediction system based on data mining, particularly
association rules using Apriori algorithm, and case-based reasoning. The association rules …

Developing a hybrid predictive system for retinopathy

V Balakrishnan, MR Shakouri… - Journal of Intelligent & …, 2013 - content.iospress.com
Retinopathy or blindness due to diabetes is one of the most common complications among
diabetics worldwide. Due to its high prevalence, early detections are necessary so as to …

Critical Analysis of several Feature-based Opinion Mining Methodologies

S Kumar, B Ahuja - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
Feature-based opinion mining is the process of extracting user opinions from the
characteristics of an object and is used to do granular analysis by isolating particular …

[PDF][PDF] A Study of Diabetic Retinopathy Classification Using Support Vector Machine

NI Ab Kader, UK Yusof, S Naim - International Journal of …, 2018 - researchgate.net
Diabetic Retinopathy (DR) is a diabetic complication which can cause blindness. As DR
cases keep increasing, ophthalmologists are forced to diagnose a large number of retinal …