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16+ results
Field: Imbalanced Data Classification Techniques

MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

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Sukarna Barua, Md. Monirul Islam, Xin Yao, Kazuyuki Murase

Journal: IEEE Transactions on Knowledge and Data Engineering
Year: 2012
Citations: 1141

Imbalanced learning problems contain an unequal distribution of data samples among different classes and pose a challenge to any classifier as it becomes hard to learn the minority class samples. Synthetic oversampling methods address this problem by generating the synthetic minority class samples t...

Physical SciencesComputer ScienceArtificial Intelligence
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Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

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Md. Kamrul Hasan, Md. Ashraful Alam, Dola Das, Eklas Hossain et al.

Journal: IEEE AccessYear: 2020Citations: 581

Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level of sugar in the blood over a long period. The risk factor and severity of diabetes can be reduced significantly if the precise early prediction is possible. The robust and accurate prediction of diabetes is...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Identification of significant features and data mining techniques in predicting heart disease

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Mohammad Shafenoor Amin, Yin Kia Chiam, Kasturi Dewi Varathan

Journal: Telematics and InformaticsYear: 2018Citations: 514
Health SciencesHealth ProfessionsHealth Information Management
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Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

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Md. Mamun Ali, Bikash Kumar Paul, Kawsar Ahmed, Francis M. Bui et al.

Journal: Computers in Biology and MedicineYear: 2021Citations: 480

Machine learning and data mining-based approaches to prediction and detection of heart disease would be of great clinical utility, but are highly challenging to develop. In most countries there is a lack of cardiovascular expertise and a significant rate of incorrectly diagnosed cases which could be...

Health SciencesHealth ProfessionsHealth Information Management
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Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks

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Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, Mohammad Alamgir Hossain et al.

Journal: Expert Systems with ApplicationsYear: 2013Citations: 367
Physical SciencesComputer ScienceArtificial Intelligence
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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

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Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri et al.

Journal: Journal of Medical SystemsYear: 2018Citations: 271

Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-based classifiers are applied to such data sets for ri...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques

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Safial Islam Ayon, Md. Milon Islam, Md Rahat Hossain

Journal: IETE Journal of ResearchYear: 2020Citations: 256

Diseases is an unusual circumstance that affects single or more parts of a human’s body. Because of lifestyle and patrimonial, different kinds of disease are increasing day by day. Among all those diseases, heart disease turns out to be the most common disease and the impact of this ailment is dange...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques

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Md. Manowarul Islam, Rahatara Ferdousi, Sadikur Rahman, Humayra Yasmin Bushra

Journal: Advances in intelligent systems and computingYear: 2019Citations: 255
Health SciencesHealth ProfessionsHealth Information Management
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Machine learning approach of automatic identification and counting of blood cells

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Mohammad Mahmudul Alam, Mohammad Tariqul Islam

Journal: Healthcare Technology LettersYear: 2019Citations: 202

A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition. Traditionally blood cells are counted manually using haemocytometer along with other laboratory equipment's and chemical compounds, which is a time-consuming and tedious task. In this work, th...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Machine learning based diabetes prediction and development of smart web application

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Nazin Ahmed, Rayhan Ahammed, Md. Manowarul Islam, Md. Ashraf Uddin et al.

Journal: International Journal of Cognitive Computing in EngineeringYear: 2021Citations: 170

Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the risk of long-term complications including heart disease, and kidney failure among others. People might live longer and lead healthier lives if this disease is detected early. Different supervised machine learni...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Improving accuracy of students’ final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

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Syed Tanveer Jishan, Raisul Islam Rashu, Naheena Haque, Rashedur M. Rahman

Journal: Decision AnalyticsYear: 2015Citations: 168

Abstract There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding ...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem

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Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah, Jubayer Al Mahmud et al.

Journal: Journal of Computer ScienceYear: 2020Citations: 164

The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called min...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus

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Md Faruque, Asaduzzaman Asaduzzaman, Iqbal H. Sarker

Year: 2019Citations: 159

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the body's system, in particular the blood veins and nerves. Early...

Health SciencesHealth ProfessionsHealth Information Management
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Early Prediction of Diabetes Using an Ensemble of Machine Learning Models

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Aishwariya Dutta, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal et al.

Journal: International Journal of Environmental Research and Public HealthYear: 2022Citations: 153

Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including cardiovascular disease, kidney failure, diabetic retinopathy, and neuropathy, among others, which contribute to an increase in morbidity and mortality rate. If diabetes ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease

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Animesh Kumar Paul, Pintu Chandra Shill, Md Rafiqul Islam Rabin, Kazuyuki Murase

Journal: Applied IntelligenceYear: 2017Citations: 137
Health SciencesHealth ProfessionsHealth Information Management
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