Abstract
In recent times, many researchers have designed various automated analysis models using different supervised learning models. An early diagnosis of disease may control the death rate caused by those diseases. This project is concerned with a new way for recognition model; automated disease diagnosis model is intended using the machine learning models. Here we considered sample records of patients diagnosed with 41 different diseases for analysis, where 95 of 132 independent symptoms closely related to the selected diseases were chosen and are further optimized. In the proposed model, the data are listed into a Tkinter GUI; the analysis is then performed and predicts the disease. Decision tree and Naive Bayes algorithms are used for prognosis. The precise analysis of medical databases benefits the analysis of predicting the disease earlier that can help to provide better patient care and services.
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References
Chen M, Hao Y. Disease prediction by machine learning over big data from healthcare communities. IEEE. 2017;8869–79.
Gao J, Wang J, Tian L, Song B, Chen Y, Hu X. Similar disease prediction with heterogeneous disease information networks. IEEE Trans Nano Biosci. 2020;571–8.
Repaka AN, Ravikanti SD, Franklin RG. Design and implementing heart disease prediction using naives bayesian. ICOEI. 2019;292–297.
Kohli PS, Arora S. Application of machine learning in disease prediction. ICCCA. 2018;1–4.
Le D. Disease phenotype similarity improves the prediction of novel disease associated microRNA. NICS. 2015;76–81.
Bahrami B, Shirvani MH. Prediction and diagnosis of heart disease by data mining techniques. J Multidiscip Eng Sci Technol (JMEST). 2015;2(2):164–8.
Sharmila S, Gandhi MPI. Analysis of heart disease using data mining techniques. IJANA. 2017;8(5):93–95.
Vinitha S, Sweetlin S, Vinusha H, Sajini S. Disease prediction using machine learning over big data. Comput Sci Eng Int J (CSEIJ). 2018;8(1):322–30.
Gomathi K, Shamuga priyaa D. Multi disease prediction using data mining techniques. 2016;4(2):122–128.
Sharmila SL, Dharuman C, Venkatesan P. Disease classification using machine learning algorithms—a comparative study. Int J Pure Appl Math. 2017;114(6):1–10.
Hendrick RE. Radiation doses and cancer risks from breast imaging studies. Radiology. 2010;57:246–53.
Mohan S, Thirumalai C, Srivastava G. Effective heart disease prediction using hybrid machine learning techniques. IEEE Access. 2019;7:81542–54.
Yede N, Koul R, Harde C, Gaurav K, Pagar CS. General disease prediction based on symptoms provided by patient. Open Access Int J Sci Eng. 2021;6:2456–3293.
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This article is part of the topical collection “Intelligent Systems” guest edited by Geetha Ganesan, Lalit Garg, Renu Dhir, Vijay Kumar, and Manik Sharma.
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Divya, A., Deepika, B., Durga Akhila, C.H. et al. Disease Prediction Based on Symptoms Given by User Using Machine Learning. SN COMPUT. SCI. 3, 504 (2022). https://doi.org/10.1007/s42979-022-01399-0
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DOI: https://doi.org/10.1007/s42979-022-01399-0