Abstract
As, rise in the field of technology machine learning is widely used in various fields. Now it has various applications on the field of health industry. It works as a helping hand for the field of health industry. By the help of various machine learning algorithms, we can make various models for predicting the results through the large amount of dataset present in medical field. This paper comprises of efficient machine learning algorithms used in predicting disease through symptoms. As, the health industry has a huge amount of data for various fields so, we want to make a system where we can use various other applications of machine learning on health industry. This all had been done to make the better medical decisions and also for rise in the accuracy. As accurate analysis of the early prediction of disease helps in the patient care and the society services. These all challenges can be easier by the help of various tools, algorithms and framework provided by the machine learning. In addition to all these predictions we are making a chatbot for all that where patients can add the symptoms that are helpful to predict the disease and also check their diabetes status through the various information provided to system by the patients.
Keywords:
Decision tree classification, NLTK, tokenization.
References
Oana Frunza, Member, IEEE “A Machine Learning Approach for Identifying Disease Treatment Relations in Short Texts” IEEE transactions on knowledge and data engineering, vol. 23, no. 6, june 2011.
L. Hunter And K.B. Cohen, “Biomedical Language Processing:What’s Beyond Pubmed?” Molecular Cell, Vol. 21-5, Pp. 589-594,2006.
Pravin Shinde and Prof. Sanjay Jadhav, “Health
Analysis System Using Machine Learning”, International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014.
Marimuthu Muthuvel and Deivarani Sivaraju, “Analysis of Heart Disease Prediction using Various Machine Learning Techniques", International conference on Artificial Intelligence,
Smart Grid and smart city applications, (AISGSC 2019).
V.Kirubha and S.Manju Priya, “Survey on Data Mining Algorithms in Disease Prediction ", International general of emerging trends and technology in computer science, August 2016.
Harini D K and Natesh M, “Prediction Of Probability Of Disease Based On Symptoms Using ML Algorithm", International research journal of engineering and technology, May 2018
Asir Antony Singh Danasingh,“Diabetes Prediction Using Medical", Journal of computational intelligence in bioinformatics, ISSN 0973-383X Volume 10 2017
K.Priyadarshini and Dr.I.Lakshmi, “A Survey on Prediction of Diabetes Using Data Mining Technique", International Journal of innovative research in science, engineering and technology, Sept 2017.
Downloads
Download data is not yet available.