Patnala Kavitha, K.Tulasi
GONNA INSTITUTE OF SCIENCE & TECHNOLOGY, VISAKHAPATNAM
Abstract
In order to detect diseases in an efficient as well as an easy way, we are proposing a medical chatbot framework. This work investigates about the diseases by simply taking various symptoms related to a particular disease. To accomplish this, we use different datasets related to diseases, we apply various Deep Learning and Machine Learning algorithms and ensemble them together to anticipate about diseases. Machine Learning Techniques can give productive outcome to gather information by building different grouping and outfit models from gathered dataset. Such gathered information can be valuable to anticipate diseases. Different strategies of Machine Learning and Deep Learning are able to do forecast, but it's difficult to pick a best strategy. For this system, we have implemented Natural Language Processing and Artificial Neural Network in order to get the best efficiency.
Keywords: *Natural Language Processing (NLP), Long Short Term Memory(LSTM), Machine Learning(ML), Decision Tree, Random Forest , KNN.
Journal Name :
EPRA International Journal of Multidisciplinary Research (IJMR)

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Published on : 2026-05-15

Vol : 12
Issue : 5
Month : May
Year : 2026
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