Abstract
With the introduction of AI in health care, it became easier to identify diseases causing bacteria and viruses and to give expert advice for infectious diseases. The main idea behind applying machine learning for health care is the requirement of a robust algorithm to make a wise decision in life or death situation. Also, electronic health data adoption has increased almost ten times since 2009, and it paved the way for machine learning into health care. Machine learning made it possible to learn from unsupervised and semi-supervised data with high-dimensional features. Many leading industries started showing interest in healthcare and related products. Deep learning also enabled the early detection of deadly diseases which increased the lifespan of people. In this chapter, we will discuss how machine learning has rooted in health care and some of its valuable applications in health care.
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References
Arokia Jesu Prabhu L, Sengan S, Kamalam GK, Vellingiri J, Gopal J, Velayutham P, Subramaniyaswamy V (2020) Medical information retrieval systems for e-Health care records using fuzzy based machine learning model. Microprocess Microsyst
Punarselvam E, Gokul N, Jeyakumar J, Lenin R, Praveenkumar S (2020) Healthcare supervising system to monitor heart rate to diagnose and alert heart attack using IoT. Int J Eng Tech (IJET) 6(2):1–7. ISSN: 2395-1303
Mostert M, Bredenoord AL, Biesaart MC, Van JJ (2016) Big data in medical research and EU data protection law: challenges to the consent or anonymise approach. Eur J Hum Genet 24(7):956
Hinton G (2018) Deep learning—a technology with the potential to transform health care. JAMA 320(11):1101–1102
Jabbar A, Aluvalu R, Samreen S (2018) The future of health care: machine learning. Int J Eng Technol. https://doi.org/10.14419/ijet.v7i4.6.20226
Rong G, Mendez A, Assi EB, Zhao B, Sawan M (2020) Artificial intelligence in healthcare: review and prediction case studies. Engineering 6(3):291–301. https://doi.org/10.1016/j.eng.2019.08.015
Kathuria P (2021) 12+ machine learning applications enhancing healthcare sector 2021. https://www.upgrad.com/blog/machine-learning-applications-in-healthcare/
Borad A (2017) https://www.einfochips.com/blog/healthcare-and-machine-learning-the-future-with-possibilities
Davenport T, Kalakota R (2019) The potential for artificial intelligence in healthcare. Future Healthc J. https://doi.org/10.7861/futurehosp.6-2-94
Gupta P (2017) Machine learning: the future of health care. Harv Sci Rev
Linhart C (2020) Predictions for AI-powered digital healthcare in 2021. https://medcitynews.com/2020/12/predictions-for-ai-powered-digital-healthcare-in-2021
Wilkinson J, Arnold KF, Murray EJ et al (2020) Time to reality check the promises of machine learning-powered precision medicine. Lancet Digit Health 2(12):E677–E680
Sparks E (2021) https://www.forbes.com/sites/evansparks/2021/02/10/four-predictions-for-artificial-intelligence-and-machine-learning-in-2021/?sh=76c53ada6906
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Kumawat, V., Umamaheswari, B., Mitra, P., Lavania, G. (2022). Machine Learning for Health Care: Challenges, Controversies, and Its Applications. In: Kumar, R., Ahn, C.W., Sharma, T.K., Verma, O.P., Agarwal, A. (eds) Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems, vol 425. Springer, Singapore. https://doi.org/10.1007/978-981-19-0707-4_24
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DOI: https://doi.org/10.1007/978-981-19-0707-4_24
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