Authors: Ms. Ifrah Kampoo, Ms. Tejashree Khandekar, Dr. Jasbir Kaur, Assistant Professor
Abstract: – In healthcare demand of giving a rapid solutions led in digital health services. The chatbot employs natural language processing to interpret user inputs and leverages supervised machine algorithms. We use Natural Language Processing(NLP)extracting the structure symptoms from the text. ML algorithm use like Naive Bayes use by Probabilistic mode good for text classification fast works with small datasets.Another algorithm Decision Tree use to Rule-based predicate from symptom combinations easy to interpret and fast. Random Forest also use by Ensemble of decision trees used in more accurate, handles noisy data well. Support Vector Machine(SVM) that algorithm used as Bnary/multi-class classification of symptoms high accuracy, effective with high-dimensional data. An associated symptom-disease dataset is used to train and validate the model. Technology is accelerating innovations in healthcare domain has increasing people living years.
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