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Field: Artificial Intelligence in Healthcare

A Random Forest based predictor for medical data classification using feature ranking

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Md. Zahangir Alam, Md. Saifur Rahman, M. Sohel Rahman

Journal: Informatics in Medicine Unlocked
Year: 2019
Citations: 242

Medical data classification is considered to be a challenging task in the field of medical informatics. Although many works have been reported in the literature, there is still scope for improvement. In this paper, a feature ranking based approach is developed and implemented for medical data classi...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System

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Shadman Nashif, Md. Rakib Raihan, Md. Rasedul Islam, Mohammad Hasan Imam

Journal: World Journal of Engineering and TechnologyYear: 2018Citations: 234

Cardiovascular diseases are the most common cause of death worldwide over the last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate. However, accurate detection ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Machine Learning Technology-Based Heart Disease Detection Models

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Umarani Nagavelli, Debabrata Samanta, Partha Chakraborty

Journal: Journal of Healthcare EngineeringYear: 2022Citations: 215

At present, a multifaceted clinical disease known as heart failure disease can affect a greater number of people in the world. In the early stages, to evaluate and diagnose the disease of heart failure, cardiac centers and hospitals are heavily based on ECG. The ECG can be considered as a regular to...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Diabetes Prediction: A Deep Learning Approach

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Safial Islam Ayon, Md. Milon Islam

Journal: International Journal of Information Engineering and Electronic BusinessYear: 2019Citations: 210

Nowadays, Diabetes is one of the most common and severe diseases in Bangladesh as well as all over the world. It is not only harmful to the blood but also causes different kinds of diseases like blindness, renal disease, kidney problem, heart diseases etc. that causes a lot of death per year. So, it...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Stroke Disease Detection and Prediction Using Robust Learning Approaches

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Tahia Tazin, Md Nur Alam, Nahian Nakiba Dola, Mohammad Sajibul Bari et al.

Journal: Journal of Healthcare EngineeringYear: 2021Citations: 198

Stroke is a medical disorder in which the blood arteries in the brain are ruptured, causing damage to the brain. When the supply of blood and other nutrients to the brain is interrupted, symptoms might develop. According to the World Health Organization (WHO), stroke is the greatest cause of death a...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Performance Analysis of Machine Learning Approaches in Stroke Prediction

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Minhaz Uddin Emon, Maria Sultana Keya, Tamara Islam Meghla, Md. Mahfujur Rahman et al.

Journal: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)Year: 2020Citations: 194

Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke. This research work proposes an early prediction of stroke diseases by using different machine learning approach...

Health SciencesHealth ProfessionsHealth Information Management
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Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

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Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, Md. Saikat Islam Khan et al.

Journal: AIMS Public HealthYear: 2024Citations: 179

In recent years, machine learning (ML) and deep learning (DL) have been the leading approaches to solving various challenges, such as disease predictions, drug discovery, medical image analysis, etc., in intelligent healthcare applications. Further, given the current progress in the fields of ML and...

Health SciencesHealth ProfessionsHealth Information ManagementOpen 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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A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

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Morshedul Bari Antor, Ashfaq Jamil, Maliha Mamtaz, Mohammad Monirujjaman Khan et al.

Journal: Journal of Healthcare EngineeringYear: 2021Citations: 162

Alzheimer's disease has been one of the major concerns recently. Around 45 million people are suffering from this disease. Alzheimer's is a degenerative brain disease with an unspecified cause and pathogenesis which primarily affects older people. The main cause of Alzheimer's disease is Dementia, w...

Health SciencesMedicinePsychiatry and Mental healthOpen 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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Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision

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Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, Qurrat- ul-ain et al.

Journal: Archives of Computational Methods in EngineeringYear: 2024Citations: 146
Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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A machine learning approach for obesity risk prediction

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Faria Ferdowsy, Kazi Samsul Alam Rahi, Md. Ismail Jabiullah, Md. Tarek Habib

Journal: Current Research in Behavioral SciencesYear: 2021Citations: 140

In modern times, obesity has become a significant threat all over the world. Obesity means an unnatural or excessive amount of fat that is present in our bodies. People are constantly moving towards an unhealthy lifestyle, eating excessive junk food, late-night sleep, spend a long time sitting down....

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Malignant and Benign Breast Cancer Classification using Machine Learning Algorithms

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Sharmin Ara, Annesha Das, Ashim Dey

Year: 2021Citations: 140

At the moment, the most prevalent form of cancer diagnosed in women across the globe is breast cancer. It develops in the breast tissue and is one of the most frequent causes of women's death. This cancer can be cured if it is diagnosed at preliminary stage. Malignant and benign are two types of tum...

Physical SciencesComputer ScienceArtificial Intelligence
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A dynamic K-means clustering for data mining

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Md. Zakir Hossain, Md. Nasim Akhtar, R. Badlishah Ahmad, Mostafijur Rahman

Journal: Indonesian Journal of Electrical Engineering and Computer ScienceYear: 2019Citations: 138

<span>Data mining is the process of finding structure of data from large data sets. With this process, the decision makers can make a particular decision for further development of the real-world problems. Several data clusteringtechniques are used in data mining for finding a specific pattern...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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