Machine Learning in Healthcare Analytics: A State-of-the-Art Review
The use of machine learning (ML) models have become a crucial factor in the growing field
of healthcare, ushering in a new era of medical research and diagnosis. This study …
of healthcare, ushering in a new era of medical research and diagnosis. This study …
Heart failure prediction using XGB classifier, logistic regression and support vector classifier
V Jain, M Agrawal - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Heart updated failure is a very serious medical issue nowadays. It causes a lot of deaths all
over the world. The bad lifestyle, bad eating habits, unusual food timings are some of the …
over the world. The bad lifestyle, bad eating habits, unusual food timings are some of the …
Survival Classification in Heart Failure Patients by Neural Network-Based Crocodile and Egyptian Plover (CEP) Optimization Algorithm
F Akalın - Arabian Journal for Science and Engineering, 2024 - Springer
Heart failure is an incurable disease and shows general symptoms. The presence of general
symptoms contrary to specific indications makes early diagnosis difficult. This study aims to …
symptoms contrary to specific indications makes early diagnosis difficult. This study aims to …
Health Data Classification using Applied Cascade Generalization
C Nilnumpetch, S Amornsamankul… - 2023 International …, 2023 - ieeexplore.ieee.org
This research study introduces two steps to improve the binary classification technique
without using threshold value. The first step is to use complementary neural networks to …
without using threshold value. The first step is to use complementary neural networks to …
Heart Failure Prediction Using Machine Learning Algorithms with Cross Validations
V Jain - 2023 International Conference on Circuit Power and …, 2023 - ieeexplore.ieee.org
Heart failure is common problem among the people. Many people suffer from this problem.
Bad eating habits, BMI level, obesity, in active daily life are the things which are responsible …
Bad eating habits, BMI level, obesity, in active daily life are the things which are responsible …
基于机器学习算法的心力衰竭预测模型
胡川丽， 贺晓松， 赵江， 李华 - 基础医学与临床, 2024 - journal11.magtechjournal.com
目的4 种机器学习算法构建心力衰竭风险预测模型, 为早期发现病患和治疗干预提供理论支撑.
方法通过对Kaggle 社区上发布的心力衰竭数据集预处理后, 使用特征选择筛选出与心衰的相关 …
方法通过对Kaggle 社区上发布的心力衰竭数据集预处理后, 使用特征选择筛选出与心衰的相关 …
Survival Analysis of Heart Failure Patients Using Advanced Machine Learning Techniques
P Makam, G Janardhan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
According to World health organization, the death rate due to cardiovascular Disease (CVD)
globally touches an estimate of 17.9 million every year. It became very significant for the …
globally touches an estimate of 17.9 million every year. It became very significant for the …
Heart failure prediction model based on machine learning algorithms
C HU, X HE, J ZHAO, H LI - Basic & Clinical …, 2024 - journal11.magtechjournal.com
Objective To construct a model of heart failure risk prediction based on four machine
learning algorithms in order to support early diagnosis and intervention. Methods After …
learning algorithms in order to support early diagnosis and intervention. Methods After …