[HTML][HTML] Prediction of heart disease and classifiers' sensitivity analysis

KM Almustafa - BMC bioinformatics, 2020 - Springer
Background Heart disease (HD) is one of the most common diseases nowadays, and an
early diagnosis of such a disease is a crucial task for many health care providers to prevent …

[PDF][PDF] Heart disease prediction and classification using machine learning algorithms optimized by particle swarm optimization and ant colony optimization.

Y Khourdifi, M Baha - … journal of Intelligent engineering & systems, 2019 - academia.edu
The prediction of heart disease is one of the areas where machine learning can be
implemented. Optimization algorithms have the advantage of dealing with complex non …

Predictive data mining approaches in medical diagnosis: A review of some diseases prediction

R Ghorbani, R Ghousi - International Journal of Data and …, 2019 - m.growingscience.com
Due to the increasing technological advances in all fields, a considerable amount of data
has been collected to be processed for different purposes. Data mining is the process of …

[HTML][HTML] The efficacy of machine-learning-supported smart system for heart disease prediction

N Absar, EK Das, SN Shoma, MU Khandaker… - Healthcare, 2022 - mdpi.com
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 …

[Retracted] Analyzing the Performance of Machine Learning Techniques in Disease Prediction

K Phasinam, T Mondal, D Novaliendry… - Journal of Food …, 2022 - Wiley Online Library
The history of data stored can be used to forecast potential patterns and help companies
make competitive decisions to increase their success and benefits. Many analysts look at …

A reliable machine intelligence model for accurate identification of cardiovascular diseases using ensemble techniques

BP Doppala, D Bhattacharyya… - Journal of …, 2022 - Wiley Online Library
Machine intelligence can convert raw clinical data into an informational source that helps
make decisions and predictions. As a result, cardiovascular diseases are more likely to be …

Swarm Intelligence Algorithms-Based Machine Learning Framework for Medical Diagnosis: A Comprehensive Review

EH Houssein, E Saber, YM Wazery, AA Ali - Integrating meta-heuristics …, 2022 - Springer
When building medical diagnosis software, one of the most difficult challenges in disease
prediction. Machine Learning (ML) approaches have proven to be effective in a range of …

Perbandingan algoritma DBSCAN dan k-means clustering untuk pengelompokan kasus Covid-19 di dunia

R Adha, N Nurhaliza, U Sholeha… - SITEKIN: Jurnal Sains …, 2021 - ejournal.uin-suska.ac.id
Pada tanggal 16 Maret 2020 telah dikonfirmasi terdapat lebih dari 180.000 kasus Covid-19
di seluruh dunia, dengan lebih dari 7.000 kematian. Berbagai upaya dilakukan oleh negara …

Clustering of countries for COVID-19 cases based on disease prevalence, health systems and environmental indicators

SA Rizvi, M Umair, MA Cheema - Chaos, Solitons & Fractals, 2021 - Elsevier
The coronavirus has a high basic reproduction number (R 0) and has caused the global
COVID-19 pandemic. Governments are implementing lockdowns that are leading to …

[PDF][PDF] An optimized neural network using genetic algorithm for cardiovascular disease prediction

JCT Arroyo, AJP Delima - Journal of Advances in Information Technology, 2022 - jait.us
Cardiovascular disease prediction has gained the spotlight in research for the past years.
Data-driven techniques for prediction through machine learning techniques have paved the …