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Artificial Intelligence and Machine Learning for Healthcare Solutions
Data Analytics in Bioinformatics: A Machine Learning Perspective ; : 283-291, 2021.
Article in English | Scopus | ID: covidwho-1888501
ABSTRACT
Trends of teaching and learning has changed its shape from offline teaching to online teaching as full mode and physical mode of teaching may become substitution of academic keeping in view the pandemic covid-19. Data science has become part of parcel of our daily life and most of the technical apps we are using contains machine Learning algorithms and helps us in many ways. With rising conditions, artificial intelligence will be the most prominent transformative technology and enabler for society in the present era. here is no uncertainty that AI and analogous frameworks are built to change global efficiency, working habits, and lifestyles and support healthcare, Pharma Industry and Transformation in diagnosis process, disease treatment and early identification of symptoms has been fuelled machine learning techniques and tools such as Generative Adversarial Networks (GAN), Deep Convolutional Networks, Deep Reinforcement Learning (DRL), Gradient-boosted-tree models (GBM), etc. MRI and other sophisticated imaging systems immensely used for neural disorders, cancer diagnostics. In this chapter we are discussing various resources of medical datasets which can be used for diagnosis of dementia with the usage of machine learning approaches. We are presenting how various machine learning approaches can be useful in early diagnosis of many diseases and explained where machine learning and deep learning can be used on electronically stored medical data. Recent developments are achieved in what way machine learning can be applicable in multi-disciplinary research areas. The main emphasis of this chapter is to elaborate on the applicability of machine learning in the domain of healthcare. In the past, there had been substantial signs of progress in the way where machine learning can apply in innumerable research and industries. This chapter deliberates the prospect of using machine learning technologies in the healthcare sector and sketches several industry ingenuities implementing machine learning initiatives. © 2021 Scrivener Publishing LLC.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Data Analytics in Bioinformatics: A Machine Learning Perspective Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Data Analytics in Bioinformatics: A Machine Learning Perspective Year: 2021 Document Type: Article