A stable AI-based binary and multiple class heart disease prediction model for IoMT
Heart disease seriously threatens human life due to high morbidity and mortality. Accurate
prediction and diagnosis become more critical for early prevention, detection, and treatment …
prediction and diagnosis become more critical for early prevention, detection, and treatment …
[HTML][HTML] Stability prediction of underground entry-type excavations based on particle swarm optimization and gradient boosting decision tree
The stability of underground entry-type excavations will directly affect the working
environment and the safety of staff. Empirical critical span graphs and traditional statistics …
environment and the safety of staff. Empirical critical span graphs and traditional statistics …
WABL method as a universal defuzzifier in the fuzzy gradient boosting regression model
Abstract Gradient Boosting Regression (GBR) models are widely used and can give
effective results in regression and classification problems. The main value of the approach …
effective results in regression and classification problems. The main value of the approach …
Ensemble methods for heart disease prediction
Heart disease prediction is a critical task regarding human health. It is based on deriving an
Machine Learning model from medical parameters to predict risk levels. In this work, we …
Machine Learning model from medical parameters to predict risk levels. In this work, we …
Band-optimized bidirectional LSTM deep learning model for bathymetry inversion
X **, M Chen, Y Wang, H Yang - Remote Sensing, 2023 - mdpi.com
Shallow water bathymetry is of great significance in understanding, managing, and
protecting coastal ecological environments. Many studies have shown that both empirical …
protecting coastal ecological environments. Many studies have shown that both empirical …
Comparative intrepretation of machine learning algorithms in predicting the cardiovascular death rate for COVID-19 data
Every year 31% of people die from cardiovascular disease worldwide. The big data analytics
technique is very useful to Identify Heart disease and COVID-19. To control the COVID-19 …
technique is very useful to Identify Heart disease and COVID-19. To control the COVID-19 …
An intelligent system for heart disease prediction using adaptive neuro-fuzzy inference systems and genetic algorithm
J Feng, Q Wang, N Li - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Cardiovascular disease remains the leading cause of death worldwide over the past two
decades. Because of a large number of clinical data and the complexity of the disease, it is …
decades. Because of a large number of clinical data and the complexity of the disease, it is …
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
Medical diagnosis is a crucial task in the medical field, in terms of providing accurate
classification and respective treatments. Having near-precise decisions based on correct …
classification and respective treatments. Having near-precise decisions based on correct …
[PDF][PDF] Heart disease prediction using machine learning techniques: A survey
Medical diligences generate a huge amount of data. Cardiovascular Disease is becoming a
common disease leads to death now a days. Hence it is important to predict as early as …
common disease leads to death now a days. Hence it is important to predict as early as …
Analysis of classification based predicted disease using machine learning and medical things model
HK Bhuyan, TA Sai, M Charan… - … on Advances in …, 2022 - ieeexplore.ieee.org
Health diseases have been issued seriously harmful in human life due to different
dehydrated food and disturbance of working environment in the organization. Precise …
dehydrated food and disturbance of working environment in the organization. Precise …