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Can I read Evolving predictive analytics in healthcare : new AI techniques for real-time interventions on EtoBox?
Evolving predictive analytics in healthcare : new AI techniques for real-time interventions by Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, Dac-Nhuong Le is a nonfiction available to read on EtoBox.
What is Evolving predictive analytics in healthcare : new AI techniques for real-time interventions about?
A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene a
Who reads Evolving predictive analytics in healthcare : new AI techniques for real-time interventions?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, Dac-Nhuong Le
- Publisher
- The Institution of Engineering and Technology
- Published
- 2022
- Language
- EN
- ISBN
- 9781839535116
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Stem
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