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16+ results
Field: Artificial Intelligence in Healthcare

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 Access
Year: 2020
Citations: 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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Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques

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Pronab Ghosh, Sami Azam, Mirjam Jonkman, Asif Karim et al.

Journal: IEEE AccessYear: 2021Citations: 571

Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using machine learning models is a promising approach. We would like to propose a mod...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Machine-Learning-Based Disease Diagnosis: A Comprehensive Review

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Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique

Journal: HealthcareYear: 2022Citations: 550

Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges in developing the early diagnosis tool and effective treatment. Machine learning (ML)...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen 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

Verified

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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Classification and prediction of diabetes disease using machine learning paradigm

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Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin

Journal: Health Information Science and SystemsYear: 2020Citations: 360

Background and objectives Diabetes is a chronic disease characterized by high blood sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc. About 422 million people were affected by diabetes disease in worldwide in 2014. The figure will be reached 642 million in ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

Verified

Md. Milon Islam, Md. Rezwanul Haque, Hasib Iqbal, Md. Munirul Hasan et al.

Journal: SN Computer ScienceYear: 2020Citations: 349
Physical SciencesComputer ScienceArtificial Intelligence
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Smart health: Big data enabled health paradigm within smart cities

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Md Ileas Pramanik, Raymond Y.K. Lau, Haluk Demirkan, Md. Abul Kalam Azad

Journal: Expert Systems with ApplicationsYear: 2017Citations: 338
Social SciencesBusiness, Management and AccountingManagement Information Systems
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Diabetes prediction using machine learning and explainable AI techniques

Verified

Isfafuzzaman Tasin, Tansin Ullah Nabil, Sanjida Islam, Riasat Khan

Journal: Healthcare Technology LettersYear: 2022Citations: 300

Globally, diabetes affects 537 million people, making it the deadliest and the most common non-communicable disease. Many factors can cause a person to get affected by diabetes, like excessive body weight, abnormal cholesterol level, family history, physical inactivity, bad food habit etc. Increased...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Chronic kidney disease prediction based on machine learning algorithms

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Md. Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein

Journal: Journal of Pathology InformaticsYear: 2023Citations: 282

Chronic kidney disease (CKD) is a dangerous ailment that can last a person's entire life and is caused by either kidney malignancy or decreased kidney functioning. It is feasible to halt or slow the progression of this chronic disease to an end-stage wherein dialysis or surgical intervention is the ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

Verified

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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Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

Verified

Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam et al.

Journal: Computer Methods and Programs in BiomedicineYear: 2017Citations: 269

Background and objective Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden of this disease has been calculated to be about $13,...

Health SciencesHealth ProfessionsHealth Information Management
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Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

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Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, Aisha B Rahman et al.

Journal: IEEE AccessYear: 2021Citations: 264

Brain is the controlling center of our body. With the advent of time, newer and newer brain diseases are being discovered. Thus, because of the variability of brain diseases, existing diagnosis or detection systems are becoming challenging and are still an open problem for research. Detection of bra...

Life SciencesNeuroscienceNeurologyOpen Access
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Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques

Verified

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

Verified

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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