Abstract
In spite of large amount of data available today, the healthcare field is facing new challenges in order to automatically detect and diagnose diseases. Deep learning, a branch of artificial intelligence, is growing fast in computer science will provide various tools and techniques to address the challenges in the health care. The rapidly growing fields of predictive analytics and deep learning are playing a major role in the healthcare data practices and research. In this paper, we reviewed the benefits and risks associated with predictive analytics in health care. We studied various deep learning predictive models used in the health care as well as their applications and prominence in healthcare industry. We also summarized applications of different deep learning models and their results.
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Sowmya, H.N., Ajitha, S. (2022). A Study on Deep Learning Predictive Models in Healthcare. In: Joshi, A., Mahmud, M., Ragel, R.G., Thakur, N.V. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 191. Springer, Singapore. https://doi.org/10.1007/978-981-16-0739-4_81
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