Predicting congenital heart disease using machine learning techniques

S Rani, S Masood - Journal of Discrete Mathematical Sciences and …, 2020 - Taylor & Francis
A plethora of studies have shown that heart diseases have become the number one killer in
the world. Congenital Heart Defect (CHD) is one of the most commonly observed heart …

Extensive review on the role of machine learning for multifactorial genetic disorders prediction

DD Solomon, Sonia, K Kumar, K Kanwar, S Iyer… - … Methods in Engineering, 2024 - Springer
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …

Heart disease prediction using hybrid machine learning model

M Kavitha, G Gnaneswar, R Dinesh… - 2021 6th …, 2021 - ieeexplore.ieee.org
Heart disease causes a significant mortality rate around the world, and it has become a
health threat for many people. Early prediction of heart disease may save many lives; …

An IoT framework for heart disease prediction based on MDCNN classifier

MA Khan - Ieee Access, 2020 - ieeexplore.ieee.org
Nowadays, heart disease is the leading cause of death worldwide. Predicting heart disease
is a complex task since it requires experience along with advanced knowledge. Internet of …

Effective study of machine learning algorithms for heart disease prediction

MJ Gaikwad, PS Asole, LS Bitla - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Heart disease has been a major public health concern in recent years, excessive alcohol
consumption, cigarette, and a sedentary lifestyle are the primary factors, and it is the leading …

Modified Self-Adaptive Bayesian algorithm for smart heart disease prediction in IoT system

AF Subahi, OI Khalaf, Y Alotaibi, R Natarajan… - Sustainability, 2022 - mdpi.com
Heart disease (HD) has surpassed all other causes of death in recent years. Estimating
one's risk of developing heart disease is difficult, since it takes both specialized knowledge …

Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach

Z Al-Makhadmeh, A Tolba - Measurement, 2019 - Elsevier
Globally, the prognosis of heart disease can be improved by early diagnosis and treatment.
However, existing automatic systems for diagnosing heart disease are hampered by the …

Performance of different machine learning techniques for the prediction of heart diseases

MR Sarveshvar, A Gogoi, AK Chaubey… - … , analytics, big data …, 2021 - ieeexplore.ieee.org
Machine Learning (ML), which is the most well known sub area Artificial Intelligence, is
revolutionizing the area of research. ML is primarily an subset of Artificial Intelligence (AI) …

Early prediction of heart disease using PCA and hybrid genetic algorithm with k-means

MT Islam, SR Rafa, MG Kibria - 2020 23rd international …, 2020 - ieeexplore.ieee.org
Worldwide research shows that millions of lives lost per year because of heart disease. The
healthcare sector produces massive volumes of data on heart disease that are sadly not …

BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems

M Kumar, P Mukherjee, S Verma, Kavita, M Kaur… - Sensors, 2022 - mdpi.com
The wearable healthcare equipment is primarily designed to alert patients of any specific
health conditions or to act as a useful tool for treatment or follow-up. With the growth of …