Machine learning–based heart disease prediction system for Indian population: An exploratory study done in South India
Abstract Background In India, huge mortality occurs due to cardiovascular diseases (CVDs)
as these diseases are not diagnosed in early stages. Machine learning (ML) algorithms can …
as these diseases are not diagnosed in early stages. Machine learning (ML) algorithms can …
Improving the performance of heart disease prediction system using ensembling techniques
E Maini, B Venkateswarlu - AIP Conference Proceedings, 2021 - pubs.aip.org
Machine learning is bringing a revolution in the healthcare domain. These algorithms have
an immense capability to generate hidden insights from the data generated by the …
an immense capability to generate hidden insights from the data generated by the …
A hybrid approach for efficient outlier detection using supervised and unsupervised techniques
C Jayaramulu, B Venkateswarlu - 2024 - researchsquare.com
Due to data imbalance and dimensionality, it is difficult to achieve optimal performance
when detecting outliers in high-dimensional data. Numerous algorithms were developed in …
when detecting outliers in high-dimensional data. Numerous algorithms were developed in …
[PDF][PDF] Bibliometric Analysis Using Publish or Perish and VOS Viewer: Machine Learning in Relation to Cardiovascular
A Sidqi - researchgate.net
Cardiovascular disease, commonly known as heart disease, is a condition where blood
vessels narrow or become blocked, potentially leading to heart attacks, angina, or strokes …
vessels narrow or become blocked, potentially leading to heart attacks, angina, or strokes …
[引用][C] Upgrading the performance of machine learning based chronic disease prediction systems using stacked generalization technique
E Maini, B Venkateswarlu… - International Journal of …, 2020 - University of Bahrain