Computer-Aided Medical Diagnosis System Using Logistics Regression Algorithms (LRA) Supervised Learning Approach
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This work focused on the designing of medical diagnosis system using Supervised Machine Learning. Logistics Regression Algorithms (LRA) was adopted, the label inputs for the data set which the symptoms were trained and mapped with the input of the user. Diagnosis of malaria was considered in this work; the system verified the value of the logical regression in the medical decision support system. Medical practitioners and other health workers can use this system to make better decisions in medical diagnosis for malaria. Adoption of this system will reduce stress of diagnoses malaria from patient and reduce congestion in our hospitals.
Alaa, B., & Sefer, K. (2019). Diabetes diagnosis using machine learning. International Journal of Computer Science and Mobile Computing, 8(3), 36-41. Retrieved from https://www.ijcsmc.com
B.M, Gayathri & Sumathi, C.P. & T, Santhanam. (2013). Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey. International Journal of Distributed and Parallel systems. 4, 105-112. DOI: 10.5121/ijdps.2013.4309.
BDCN, Prasadl., Krishna P., &Y, Sagar. (2011). An approach to develop expert systems in medical diagnosis using machine learning algorithm (asthma) and a performance study. International Journal on Soft Computing (IJSC), 2 (1), 26-33. Retrieved from
https://doi.org/10.5121/ijsc.2011.2103
Bishop, C. M. (2006). Pattern Recognition and Machine Learning, Springer, ISBN 978-0-387-31072.
Castro, Marcia & Fisher, Monica. (2012). Is malaria illness among young children a cause or a consequence of low socioeconomic status? Evidence from the United Republic of Tanzania. Malaria journal. 11. 161. 10.1186/1475-2875-11-161.
Daniel F. (2020). Machine Learning for Medical Diagnostics- 4 Current Applications. Retrieved from https://emerj.com/ai-sector overviews/machine-learning-medical-diagnostics-4-current-applications
Dhanwate, P. S., Ubale, R. R., KatharPriyanka, U., & Kapadnis, S. (2015). Identifying Best Treatment for Disease in Extraction of Medical Relation Using Machine Learning Approach. International Journal of Research in Engineering and Technology, 4(9). Retrieved from
DonHee, L., & Seong, N. (2018). Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges. Int J Environ Res Public Health, 18(1). Retrieved from https://10.3390/ijerph18010271
Expert.ai Team. (2020, May 6) What is Machine Learning? A Definition. Retrieved 6th June 2021 from https://www.expert.ai/blog/machine-learning-definition/
Fei J., Yong J., Hui Z., Yi D., Hao L., Sufeng M., Yilong W., Qiang D., Haipeng S., & Yongjun W. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology.
Gayathri, B., Sumathi, C., & Santhanam, T. (2013). Breast cancer diagnosis using machine learning algorithms - a survey. International Journal of Distributed and Parallel Systems (IJDPS), 4 (3).
Hack Reactor. (2018, October 18). What is JavaScript Used For? Retrieved 18 July 2021 from https://www.hackreactor.com/blog/what-is-javascript-used-for
Jake, F. (2020, January 27). What is information technology? https://www.investopedia.com/terms/i/information-management-technology-imt.asp
Joshua, W. (2020, September 12). What is Python used for? The many uses of python Programming. Retrieved 27 July 2021 from
https://careerkarma.com/blog/what-python-is-used-for/
Kaz, S. (2016, July 26). Understanding neural networks with TensorFlow Playground. https://cloud.google.com/blog/products/ai-machine-learning/understanding-neural-networks-with-tensorflow-playground
Kenneth, I., Chukwudebe, G., & Ekwonwune, E. (2018). Medical Diagnosis Expert System for Malaria and Related Diseases for Developing Countries. E-Health Telecommunication Systems and Networks (pp 43-56).
https://doi.org/10.4236/etsn.2018.72002
Marcelo, G., John V., Boyang, Tang., Hiba K., & James B. (2017). Application of Machine Learning in Medical Diagnosis. Retrieved from https://www.researchgate.net/publication/321151498
Medical diagnosis. Retrieved 12 August 2020 from https://jflowershealth.com/medical-diagnosis-before- treatment/
Mohssen, M., Muhammad, B., & Eihab, B. (2016). Machine Learning: Algorithms and Applications, ISBN-13: 978-1-4987-0538-7.
MarketProspects. (n.d.). .What Is Machine Learning? Machine Learning Examples and Applications| Retrieved from https://www.market-prospects.com/articles/machine-learning.
Paul, S. (2006). Machine Learning for Detection and Diagnosis of Disease. Department of Biomedical Engineering, Columbia University, New York, NY 10027.
Pradhan, P., Bamnote, G., Tribhuvan, V., Jadhav, K., Chabukswar., & Dhobale, V. (2012). A Genetic Programming Approach for Detection of Diabetes. International Journal of Computational Engineering Research, 91–94.
Rachit, S., Gautam, S., Rupesh Y., & Yash S. (2020) Web-based Application to Detect Heart Attack using Machine Learning, 7(489). Retrieved from http://www.irjet.ne
Rusell, S. J. & Norvig, P. (2010). Artificial Intelligence: A Modern Approach. Third Edition. Prentice Hall. ISBN 9780136042594
Saja, B., & Farzad, F. (2019). A model for diagnosis of kidney disease using machine learning techniques. Razi Journal of Medical Sciences, 26(8), 14-22. Retrieved from http://rjms.iums.ac.ir
Sathiya, P., & Suresh K. (2018). Chronic Kidney Disease Prediction using Machine Learning. International Journal of Computer Science and Information Security (IJCSIS), 16 (4). Retrieved from https://sites.google.com/site/ijcsis/
Sivasubramanyan, S., Srivashini, M., Deepthi, P. & Janathanan P. (2019). Any time medical assistance and medicine vending machine using machine learning. International Journals of Advance Research, Ideas and Innovations Technology, 5(2). Retrieved from www.ijariit.com
Srishti, S., & Devashis, D. (2020). Detection of Malaria using Machine Learning. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 8 (7). Retrieved from www.ijraset.com
Taha-Samad, S., Mostafa-Langarizadeh, Z., & Maryam, Z. (2013). Intelligent Diagnosis of Asthma Using Machine Learning Algorithms. International Research Journal of Applied and Basic Sciences, 5 (1), 140-145.Retrieved from www.irjabs.com
Thomas, W., & David, O. (2017). Logistics Regression. Research Methods for Cyber Security Retrieved from
https://www.sciencedirect.com/topics/computer-science/logistic-regression
Vaishali, A.(n.d).What is Machine Learning. Retrieved from
https://www.mygreatlearning.com/blog/what-is- machine-learning/
Vasan, D., & Dinesh, K. (2019). Liver Disease Prediction using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 5 (2).
www.IJARIIT.com
W3C. HTML and CSS. (n.d) Retrieved from http s://www.w3.org/standards/webdesign/htmlcss.html
