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Papers tagged with "Heart"
AI Cardiologist: Advancements In Supervised Learning For Heart Disease Prediction
Cardiovascular Disease (CVD) Continues To Pose A Significant Global Health Challenge, Demanding Innovative Approaches For Early Detection And Prevention. This Paper Presents An AI Cardiologist System That Leverages Supervised Machine Learni...
CardioGuard: A Real-Time Health Monitoring And Emergency Alert System Using WebSocket And Persistence-Based Anomaly Detection
The Increasing Prevalence Of Cardiovascular And Respiratory Conditions Demands Continuous, Reliable, And Intel-ligent Health Monitoring Systems Capable Of Operating Beyond Clinical Settings. Existing Threshold-based Monitoring Systems Suffe...
IoT-Driven Name-Based Patient Monitoring System For Real-Time Healthcare
Traditional Healthcare Systems Rely Heavily On Manual Monitoring Of Patient Vital Signs, Which Can Result In Delayed Medical Response, Inaccurate Readings, And Inefficient Healthcare Management. To Overcome These Challenges, This Project Pr...
Explainable Ensemble Machine Learning Framework For Heart Disease Prediction
Heart Disease Is One Of The Leading Causes Of Death Worldwide, And Early Prediction Plays An Important Role In Reducing Severe Health Risks. Traditional Diagnostic Methods Such As ECG, Blood Tests, And Imaging Require Expert Interpretation,...
Digital Twin For Real-Time Heart Health Monitoring
Problems Related To The Heart May Need Constant Monitoring, Yet Not All The Time, A Person Can Come To A Hospital. This Paper Introduces A Digital Twin System Of Low Cost And Based On Wearable Equipment And Cloud-support, Which Can Provide...
A Comprehensive Survey Of Explainable Artificial Intelligence And Machine Learning Techniques For Heart Disease Diagnosis And Prediction
Cardiovascular Disorders Are Still Causing Morbidity And Mortality, Including Coronary Heart Disease, Structural Heart Disease With Congenital Heart Defects As Well As Atrial fibrillation. Such Measures Would Be Critical For Effective Early...
DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM
Diabetes Mellitus Is Among Critical Diseases And Lots Of People Are Suffering From This Disease. Age, Obesity, Lack Of Exercise, Hereditary Diabetes, Living Style, Bad Diet, High Blood Pressure, Etc. Can Cause Diabetes Mellitus. People Havi...
RNN-Based Heartbeat Sound Analysis With Django Integration
Congenital Heart Diseases (CHDs) Are Among The Leading Causes Of Mortality Worldwide, Necessitating Early And Accurate Detection Methods.Improving Patient Outcomes And Facilitating Prompt Medical Intervention Depend Heavily On Early Diagnos...
Heart Disease Detection Using Logistic Regression
Heart Disease Is One Of The Leading Causes Of Mortality Worldwide, Necessitating Early And Accurate Detection For Effective Treatment And Prevention. This Project Focuses On Developing A Predictive Model For Heart Disease Detection Using Lo...
Anaesthesia Machine Control Using Raspberry Pi Pico With Battery Backup & Machine Learning
This Study Suggests A Method For Using The Raspberry Pi An Inexpensive Microprocessor, To Operate Anesthetic Machines. In Order To Precisely Provide Anesthetic Gases And Vapours To Patients During Surgical Procedures, Aesthesia Machines Are...
A Review On Machine Learning Approaches For Heart Disease Classificaiton Using PCG Data
Heart Disease Or Cardiovascular Disease (CVD) Is The Leading Cause Of Death In The World. Around 17.9 Million People Die Prematurely Because Of Heart Disorders. Much Of The Deaths Occur In Low And Middle-income Countries [1]. CVD Relates To...
Sleep Apnea Detection System Using Polysomnography Test
Sleep Apnea Presents Significant Challenges In Timely Diagnosis And Treatment, Often Exacerbated By Limitations In Accessing Polysomnography (PSG) Conducted In Sleep Labs. This Study Proposes A Novel Home-based PSG System To Revolutionize T...
Heart Disease Prediction Using Machine Learning with Flask
Heart Disease Is A Major Cause Of Death Worldwide. Early Diagnosis And Treatment Can Improve Outcomes For Patients. Machine Learning Techniques, Particularly The Decision Tree Algorithm, Have Shown Great Promise In Aiding The Diagnosis And...
EXPERIMENTS OF RECREATING THE FREQUENCY DOMAIN PROPERTIES OF SEAWATER CHANNEL FOR UNDERWATER COMMUNICATION
Water Data Communication Is A Potential Technology To Realize Underwater Communication. The Experiment Of Underwater Data Communication In The Laboratory Is Different With That In The Real Water Environment Because The Physical Scale Is Lim...
HEALTH RECORD OF HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
Life Is Dependent On Competent Functioning Of Heart, Because Heart Is Necessary Part Of Our Body. If Function Of Heart Is Not Suitable, It Will Affect The Other Body Parts Of Human Such As Brain, Kidney Etc. Heart Disease Is A Disease That...