[PDF][PDF] Heart disease classification using optimized Machine learning algorithms

MA Kadhim, AM Radhi - Iraqi Journal For Computer Science and …, 2023 - iasj.net
Early detection of heart disease is exceptionally critical to saving the lives of human beings.
Heart attack is one of the primary causes of high death rates throughout the world, due to the …

[PDF][PDF] Survival prediction among heart patients using machine learning techniques

AA Almazroi - Math Biosci Eng, 2022 - aimspress.com
Cardiovascular diseases are regarded as the most common reason for worldwide deaths.
As per World Health Organization, nearly 17.9 million people die of heart-related diseases …

Identifying the main risk factors for cardiovascular diseases prediction using machine learning algorithms

LR Guarneros-Nolasco, NA Cruz-Ramos… - Mathematics, 2021 - mdpi.com
Cardiovascular Diseases (CVDs) are a leading cause of death globally. In CVDs, the heart
is unable to deliver enough blood to other body regions. As an effective and accurate …

[HTML][HTML] Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset

KMM Uddin, R Ripa, N Yeasmin, N Biswas… - Intelligence-Based …, 2023 - Elsevier
Nowadays, one of the most important illnesses is a heart disease which causes most
patients dead. The medical diagnosis of heart disease is quite difficult. This diagnosis is a …

Comparative analysis of machine learning algorithms for heart disease predictions

S Patidar, A Jain, A Gupta - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
The number one reason of deaths worldwide are cardiovascular diseases. An approximate
of 17.9 million lives die because of CVDs every year, which means it is responsible for 31 …

Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting

MA Al-Betar, S Kassaymeh, SN Makhadmeh… - Applied Soft …, 2023 - Elsevier
This research proposes the use of feed-forward backpropagation neural networks (FFNN) to
develop an accurate cost forecasting model in light of the challenges associated with …

A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges

MA Naser, AA Majeed, M Alsabah, TR Al-Shaikhli… - Algorithms, 2024 - mdpi.com
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

IoT-enabled classification of echocardiogram images for cardiovascular disease risk prediction with pre-trained recurrent convolutional neural networks

C Balakrishnan, VD Ambeth Kumar - Diagnostics, 2023 - mdpi.com
Cardiovascular diseases currently present a key health concern, contributing to an increase
in death rates worldwide. In this phase of increasing mortality rates, healthcare represents a …

Healthcare diagnostics with an adaptive deep learning model integrated with the Internet of medical Things (IoMT) for predicting heart disease

KK Baseer, K Sivakumar, D Veeraiah… - … Signal Processing and …, 2024 - Elsevier
Heart disease is a widespread health problem that poses a significant global challenge. It
includes a variety of heart-related conditions such as heart failure, coronary artery disease …

A predictive model to estimate effort in a sprint using machine learning techniques

MA Ramessur, SD Nagowah - International Journal of Information …, 2021 - Springer
Effort estimation is an essential task in a software project as it helps to establish feasible
plans for the implementation of a project. It largely influences success or failure of the …