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linkedin.com
#machinelearning #datascience #reactjs #flask #fullstackdevelopment #python #ai #healthcareai #vercel #mldeployment #learningbybuilding | AMIT vishwakarma
🚀 Project Showcase: Heart Disease Prediction Web App 🫀 I built a full-stack Machine Learning web application that predicts the likelihood of heart disease using key medical parameters such as: Age, Sex, Chest Pain Type, Resting Blood Pressure, Resting ECG, Cholesterol, Fasting Blood Sugar, Maximum Heart Rate, Exercise-Induced Angina, and ...
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ECG Interpretation
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ECG interpretation involves systematically analyzing the waveforms and intervals to assess heart rhythm, rate, and overall electrical activity. This includes evaluating the P-wave (atrial depolarization), PR interval, QRS complex (ventricular depolarization), ST segment, T-wave (ventricular repolarization), and QT interval. A normal ECG typically shows a regular heart rate (60-100 bpm), normal P-waves, a PR interval between 120-200 ms, a QRS complex duration less than 120 ms, and a normal QT int
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