Big data analytics framework using squirrel search optimized gradient boosted decision tree for heart disease diagnosis

K Shaik, JVN Ramesh, M Mahdal, MZU Rahman… - Applied Sciences, 2023 - mdpi.com
Disease detection is a critical issue in the field of medical diagnostics. Failure to identify
heart disease (HD) at an early stage can lead to mortality. The lack of access to expert …

A Novel Predictive Analysis to Identify the Weather Impacts for Congenital Heart Disease Using Reinforcement Learning

MA Mohammed, R Ramakrishnan… - 2023 International …, 2023 - ieeexplore.ieee.org
Reinforcement learning is a powerful approach for predictive analysis to identify the weather
impacts for congenital heart disease. The key advantages of this method include the …

An Ensemble Heart Disease Prediction Model Bagged with Logistic Regression, Naïve Bayes and K Nearest Neighbour.

AB Majumder, S Gupta, D Singh - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Cardiovascular disease is an immense threat in today's world. Every year lots of people died
by this disease. Though medical science evolved and evaluated much extends still in many …

Cardiovascular Disease Prediction Using Langchain

K Ananthajothi, J David, A Kavin - … International Conference on …, 2024 - ieeexplore.ieee.org
While traditional methods struggle to capture the full picture from electronic health records
(EHRs), LangChain, a deep learning architecture, emerges as a promising tool for …

Anxiety Prediction and Analysis-A Machine Learning Based Approach

SA Farooq, O Konda, A Kunwar… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Anxiety is considered a psychological disorder that causes stress, emotional trauma, and so
forth, which affects a person both mentally and physically. This condition causes a person to …

Investigation and Feature Extraction of Heart Attack from the ECG Graph Reports

BS Raghukumar, B Naveen… - 2021 IEEE Mysore …, 2021 - ieeexplore.ieee.org
Nowadays data sample collection is one of the major challenging factors. For determining
the abnormality or difficulty one should have several numbers of a data sample, which leads …

Real-time indoor air quality monitoring using the Internet of Things

A Janarthanan, A Paramarthalingam… - 2022 Third …, 2022 - ieeexplore.ieee.org
Globalization and industrialization have brought about their reverberation in the form of
different simultaneous harmful components that affects environment's equilibrium conditions …

Farklı sınıflandırıcılar ve yeniden örnekleme teknikleri kullanılarak kalp hastalığı teşhisine yönelik karşılaştırmalı bir çalışma

O Sevli - Journal of Intelligent Systems: Theory and Applications, 2022 - dergipark.org.tr
Kalp hastalıkları dünya genelinde yaygın olarak görülmekte ve küresel ölümlerin üçte birlik
kısmına neden olmaktadır. Kalp hastalığının semptomlarını ayırt etmedeki zorluk ve çoğu …

Hyper parameter tuned ensemble approach for gestational diabetes prediction

S Prasanth, K Banujan, K Btgs - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Diabetes Mellitus is commonly found in human beings around the world and this is one of
the serious diseases which causes boundless suffering among patients. There are …

Coronary Heart Disease Prediction Through Machine Learning Using Non-Laboratory Risk Factors

HRB Labana, MN Valeros… - … Networks and Satellite …, 2023 - ieeexplore.ieee.org
The human heart is a fist-sized muscular organ that serves as the primary component of the
cardiovascular system. Its primary function is to facilitate the circulation of blood throughout …