[PDF][PDF] Exploring Important Factors in Predicting Heart Disease Based on Ensemble-Extra Feature Selection Approach

H Abubaker, F Muchtar, AR Khairuddin, ANA Nuar… - Baghdad Science …, 2024 - iasj.net
Heart disease is a significant and impactful health condition that ranks as the leading cause
of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases …

Studi Komparatif Model Klasifikasi Kerentanan Penyakit Jantung Menggunakan Algoritma Machine Learning

W Lestari, S Sumarlinda - SATIN-Sains dan Teknologi Informasi, 2023 - sia.lab.sar.ac.id
Penyakit jantung merupakan salah satu penyebab kematian baik di dunia maupun
Indonesia. Perhatian awal dari penyakit jantung akan memudahkan pencegahan dan …

Explainable Heart Disease Diagnosis with Supervised Learning Methods

TA Assegie, SJ Sushma… - ADCAIJ: Advances in …, 2023 - revistas.usal.es
The objective of this study is to develop a heart disease diagnosis model with a supervised
machine learning algorithm. To that end, random forest (RF), support vector machine (SVM) …

Disease Prediction Based on Symptoms and Drug Recommendation

A Jindal, R Kamboj, S Pathak, K Dubey… - … on Reliability, Infocom …, 2024 - ieeexplore.ieee.org
Within the sphere of healthcare, the widespread employment of large datasets has infiltrated
each element of the field, starting from groundbreaking scientific inquiry right through to …

Meta-Learning Algorithms for Few-Shot Classification in Imbalanced Datasets

R Kumar, LH Fezaa, A Alkhayyat… - 2024 4th …, 2024 - ieeexplore.ieee.org
This work aims to examine meta-learning on few-shot learning schemes, specifically on the
assessment of how well current approaches manage imbalance in the examined datasets …

Shape optimization of keel in ship hydrodynamics using computational fluid dynamics

PK Miniappan, R Krishnan, HM Abbas… - E3S Web of …, 2024 - e3s-conferences.org
The optimization of composed techniques for plan upgrade taking into account massive
extension numerical diversions (Reenactment Based Plan, SBD) is a clear example in …

[PDF][PDF] Prediction of heart attack risk using linear discriminant analysis methods

E Sivari, S Sürücü - Journal of Computer & Electrical and …, 2023 - researchgate.net
Aims: A heart attack is when blood flow to the heart muscle is interrupted. During a heart
attack, the risk of permanent damage to the heart increases with every second that the heart …

Exploring the Role of AI in Enhancing Remote Sensing Technologies for Climate Change Studies

A Alkhayyat, R Kumar, HM Al-Jawahry… - 2024 4th …, 2024 - ieeexplore.ieee.org
The current study focuses on the application of Intelligent Systems in the improvement of
data analysis for climate changevariables using remote sensing systems. The idea is to …

GridSearch and Data Splitting for Effectiveness Heart Disease Classification

RTE Putri, J Zeniarja, S Winarno… - Sinkron: jurnal dan …, 2024 - jurnal.polgan.ac.id
Cardiovascular disease (CVD) is a major global health issue that affects death rates
significantly. This research aims to improve the early detection and diagnosis of …

[PDF][PDF] Enhancing Heart Disease Prediction Using Ensemble Techniques

W Sada, C Kiyea, BB Alhassan, AB Yusuf… - SLU Journal of …, 2022 - academia.edu
Background: Cardiovascular diseases are recognized generally to be among the number
one illness causing death across the globe. Predicting heart disease using a computer …