BORRBangladesh Open Research Repository
SearchSubmitAboutContact
BORRResearch for a Better Bangladesh.
AboutSubmit PaperContactTermsPolicyGitHub

© 2026 Bangladesh Open Research Repository.

Filters

Sort By

Sort by dateSort by citations
Year Range
to
Clear all filters

All Papers

31+ results
Field: Health Information Management

Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System

Verified

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

Journal: World Journal of Engineering and Technology
Year: 2018
Citations: 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
Read Source

Machine Learning Technology-Based Heart Disease Detection Models

Verified

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
Read Source

The prevalence of underweight, overweight and obesity in Bangladeshi adults: Data from a national survey

Verified

Tuhin Biswas, Sarah P. Garnett, Sonia Pervin, Lal Rawal

Journal: PLoS ONEYear: 2017Citations: 212

BACKGROUND: Over the two last decades Bangladesh, a low-income country, has experienced a rapid demographic and epidemiological transition. The population has increased substantially with rapid urbanization and changing pattern of disease, which at least in part, can be explained by nutritional chan...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
Read Source

Epidemiological transition in rural Bangladesh, 1986–2006

Verified

Zunaid Ahsan Karar, Nurul Alam, Peter Kim Streatfield

Journal: Global Health ActionYear: 2009Citations: 212

BACKGROUND: For understanding epidemiological transition, Health and Demographic Surveillance System plays an important role in developing and resource-constraint setup where accurate information on vital events (e.g. births, deaths) and cause of death is not available. METHODS: This study aimed to ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
Read Source

Diabetes Prediction: A Deep Learning Approach

Verified

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
Read Source

Stroke Disease Detection and Prediction Using Robust Learning Approaches

Verified

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
Read Source

Performance Analysis of Machine Learning Approaches in Stroke Prediction

Verified

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
Read Source

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

Verified

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
Read Source

Bangladesh Demographic and Health Survey 1999-2000

Verified

Training Niport, Bangladesh, Mitra, Associates et al.

Year: 2001Citations: 172
Health SciencesHealth ProfessionsHealth Information Management
Read Source

Machine learning based diabetes prediction and development of smart web application

Verified

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
Read Source

Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus

Verified

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
Read Source

Early Prediction of Diabetes Using an Ensemble of Machine Learning Models

Verified

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
Read Source

A machine learning approach for obesity risk prediction

Verified

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
Read Source

Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease

Verified

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

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

A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset

Verified

Mirza Muntasir Nishat, Fahim Faisal, Ishrak Jahan Ratul, Abdullah Al-Monsur et al.

Journal: Scientific ProgrammingYear: 2022Citations: 129

Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the body due to impaired contractile properties of the muscles of the heart. Like any other cardiac disorder, heart failure is a serious ailment limiting the activities and curtailing the lifespan of the patient...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
Read Source
PreviousPage 2 of 3+Next