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Browsing by Subject "Heart disease"

Browsing by Subject "Heart disease"

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  • Cardiovascular Disease Detection Using Machine Learning Algorithms 
    Belal, Maria Binte (Daffodil International University, 23-04-08)
    Heart disease and other cardiovascular disorders have surpassed all others as the leading cause of mortality worldwide during the last several decades. Given the many potential causes of heart disease, it is essential ...
  • A Comparative Study of Machine Learning Algorithms to Detect Cardiovascular Disease with Feature Selection Method 
    Ali, Md. Jubier; Das, Badhan Chandra; Saha, Suman; Biswas, Al Amin; Chakraborty, Partha (2022-08-22)
    Heart disease is considered one of the calamitous diseases which eventually leads to the death of a human, if not diagnosed earlier. Manually, detecting heart disease needs doing several tests. By analyzing the result of ...
  • Deep Learning-Based Left Ventricular Ejection Fraction Estimation from Echocardiographic Videos 
    S., Rahman; B.D., Parameshachari; Haque R.; Swapno, Masfequier Rahman; S.M.N., Nobel; M., Babul Islam (Elsevier, 2023-10-21)
    Heart failure (HF) is a prevalent and life-threatening medical condition afflicting millions of people worldwide. A critical parameter in assessing cardiac function and detecting HF is the left ventricular ejection fraction ...
  • Diagnosis of Heart Diseases and Its Treatment Approach in Urban Areas of Bangladesh 
    Fahim, Nahian Fyrose; Mimi, Afsana; Rahman, Mominur; Akter, Fouzia; Isah, Sirajo Ismail (Pharmacology online, 2019)
    Non-communicable diseases (NCDs) creates a new havoc globally. Bangladesh has been facing a dual burden of existing infectious diseases and escalating rise of NCDs like diabetes, heart disease, stroke, cancer, chronic ...
  • Diagnosis of Heart Diseases and Its Treatment Approach in Urban Areas of Bangladesh 
    Fahim, Nahian Fyrose; Mimi, Afsana; Rahman, Mominur; Akter, Fouzia; Isah, Sirajo Ismail (Pharmacology online, 2019-04-30)
    Non-communicable diseases (NCDs) creates a new havoc globally. Bangladesh has been facing a dual burden of existing infectious diseases and escalating rise of NCDs like diabetes, heart disease, stroke, cancer, chronic ...
  • Diet Chart for Diabetic patients of BIRDEM General Hospital 
    Tonu, Sadia Jannat (Daffodil International University, 23-07-22)
    The diabetic association of Bangladesh operates the 600-bed multidisciplinary hospital complex known as the Bangladesh institute of research & rehabilitation in diabetes, endocrine, and metabolic disorders in Shahbagh, ...
  • The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction 
    Absar, Nurul; Das, Emon Kumar; Shoma, Shamsun Nahar; Khandaker, Mayeen Uddin; Miraz, Mahadi Hasan (Daffodil International University, 2022-06-20)
    The disease may be an explicit status that negatively affects human health. Cardiopathy is one of the common deadly diseases that is attributed to unhealthy human habits compared to alternative diseases. With the help of ...
  • Heart Disease Prediction Based on External Factors 
    Tamal, Maruf Ahmed; Islam, Md Saiful; Ahmmed, Md Jisan; Aziz, Md. Abdul; Miah, Pabel; Rezaul, Karim Mohammed (International Journal of Advanced Computer Science and Applications, 2019)
    Technology has immensely changed the world over the last decade. As a consequence, the life of the people is undergoing multiple changes that directly have positive and negative effects on health. Less physical activity ...
  • Heart Disease Prediction Using Data Mining 
    Dip, Sadia Tamim; Nammi, Kanij Fatema; Rayhan, Ibrahim (Daffodil International University, 2021-05-31)
    CVDs(Cardiovascular disorders) are the primary health problem, with 17.9 million deaths every year (World Health Organization). Heart disease has been the primary cause of death on a global scale for the last 20 years. ...
  • Heart Disease Prediction Using Machine Learning 
    Bilgaiyan, Saurabh; Ayon, Tajul Islam; Khan, Aliza Ahmed; Johora, Fatema Tuj; Parvin, Masuma; Alam, Mohammad Jahangir (IEEE, 2023-05-24)
    Mainly related to the cardiovascular system, brain, kidney, and peripheral arteries, the disease is called heart disease. Heart disease can have many causes, but high blood pressure and atherosclerosis are the main ones. ...
  • Heart Disease Prediction Using Machine Learning Methods 
    Rimi, Khadiza Akter; Aliza, Humaira Yasmin (Daffodil International University, 23-02-18)
    A disease is an unusual occurrence that usually impacts one or more body parts of an individual. Diseases of all kinds are becoming more common as a result of lifestyle and environment. The most prominent of any of these ...
  • Heart Disease Prediction Using Machine Learning: 
    Hossin, MD. Murad; Bhuiyan, MD. Rifat (Daffodil International University, 23-02-18)
    Heart disease is one of the main causes of death worldwide and the most dangerous ailment. Early identification of cardiovascular disease will reduce mortality. The medical establishment has struggled in recent years to ...
  • The Heart Disease Prediction Using the Technique of Classification in Machine Learning Using the Concepts of Data Mining 
    Saha, Pronay Kumar; Debnath, Sudham Chandra (Daffodil International University, 23-02-12)
    Machine learning techniques are used in this study to examine data and forecast cardiac illness. The main objective of my work is to examine the data and estimate the proportion of persons who will develop heart disease ...
  • Heart Disease Prediction Using Traditional Machine Learning 
    Rudra, Tonmoy; Paul, Pinky (Daffodil International University, 2021-06-01)
    Heart disease is the main reason for death in the world in the course of the most recent decade. As per late study by WHO (World health organization) 17.9 million people die every year because of these type of diseases ...
  • Improving the Accuracy of Heart Disease Prediction Approach of Machine Learning Algorithms 
    Hossain, Md. Belal; Uddin, Mohammed Nasir; Alvi, Syada Tasmia; Era, Chowdhury Abida Anjum (IEEE, 2023-05-23)
    The work is about forecasting heart disease. First and foremost, we gathered data from various sources and divided it into two portions, one of which is 80% and the other is 20%, where the first part is for training and ...
  • A Machine Learning-Based Technique for Predicting Heart Disease 
    Nahin, Mahmudur Rahman; Shawon, Sadikuzzaman (Daffodil International University, 23-02-12)
    Physical diseases including heart disease have been on the rise recently. The subject is well-known in the modern world. The majority of individuals have an issue with heart disease. The discrepancies between the normal ...
  • Personal Key Indicators of Heart Disease Using Machine Learning Techniques 
    Khan, Shah Newaj (Daffodil International University, 23-02-12)
    The number one killer in the world is heart disease, which claims millions of lives each year. Coronary artery disease, often known as CAD, is one of the numerous conditions that may have an adverse impact on the heart. ...
  • Prediction of Heart Disease Using Machine Learning Algorithms 
    Shovon, MD. Hasnat Hasnine; Akter, Tahmina (Daffodil International University, 22-09-13)
    Heart disease similarly known as cardiovascular disease which indicates any uncomfortable disorder affecting the heart. This disease has been the far most common reason of death, premature aged heart failure and influences ...
  • Prediction of Heart Diseases Using Machine Learning Approaches 
    Ahmad, Ahmad Ayid; Polat, Huseyin (Daffodil International University, 2022-07-17)
    Now days, we can see the number of heart disease cases increasing highly. Especially old people affected by this. It is so much concerning for the world. We thought about this kind of disease that how we could predict this ...
  • A Predictive Analysis Framework of Heart Disease Using Machine Learning Approaches 
    Molla, Shourav; Shamrat, F. M. Javed Mehedi; Rafi, Raisul Islam; Umaima, Umme; Umaima, Umme; Hossain, Shahed; Mahmud, Imran (Daffodil International University, 22-06-29)
    Heart disease is among the leading causes for death globally. Thus, early identification and treatment are indispensable to prevent the disease. In this work, we propose a framework based on machine learning algorithms ...

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