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Machine Learning for Disease Prediction by Vadiraj is a document available to read on EtoBox.

Rakshith R presents on disease prediction using machine learning algorithms on structured and unstructured data from hospitals. A convolutional neural network model is used to predict chronic diseases using three different datasets - structured data, text data, and a combination of both. Naive Bayes, K-nearest neighbor, and decision tree algorithms are applied to the datasets for comparison. References discuss using big data from healthcare for early disease detection and improving patient care.

Author
Vadiraj
Language
EN