Category: healthtech
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Heart Failure Prediction using Supervised ML/AI Technique
Heart failure is a worldwide healthy problem affecting more than 550,000 people every year. The heterogeneity of the syndrome is reflected by its many causes and classification systems. Machine learning has demonstrated significant potential in various medical research fields and has the potential to uncover intricate associations and the ability to identify subtypes of heart…
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Heart Failure Prediction using Supervised ML/AI Technique
Introduction This project is aimed to support ESC guidelines [1] that help health professionals manage people with heart failure (HF) according to the best available evidence. The objective is not only to develop an accurate survival prediction model but also to discover essential factors for the survival prediction of HF patients. The complex nature of HF produces a significant amount…
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Supervised ML/AI Breast Cancer Diagnostics (BCD) – The Power of HealthTech
Pilots Related to HealthTech Infographic These plots illustrate the most basic application of ML/AI in BCD as the binary classification problem. Classification usually refers to any kind of problem where a specific type of class label is the result to be predicted from the given input field of data. This is a task which assigns a label value…
