Cited By
View all- Nacer MPrakoonwit SAlarab I(2021)The Combination of AI, Blockchain, and the Internet of Things for Patient Relationship ManagementInternet of Things10.1007/978-3-030-70478-0_3(49-65)Online publication date: 14-Jul-2021
Adding AI to the Decision Support System used in Patient Health Assessment
Authors: 
Milan Vidaković, Stefan Ćosić, Ognjen Ćosić, Ivan Kaštelan, Gordana VelikićAuthors Info & Claims
Pages 399 - 402
Abstract
This paper describes one solution for embedding an Artificial Intelligence (AI) framework into the Decision Support System (DSS) used for a patient health assessment and life improvement. The DSS processes sensor-acquired health parameters and various health-related data in order to give an assessment of the patient health condition as well as to try to predict the possibility of the patient having another major health decline, such as stroke. The initial DSS version processes data using the statistical methods and proprietary algorithms which did not employ AI techniques. Rapid emergence of the AI frameworks, and evidence of clearly noticeable better results for systems based on AI, motivated us to integrate AI into the DSS. In this paper we present integration of TensorFlow framework in the DSS.
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Index Terms
- Adding AI to the Decision Support System used in Patient Health Assessment
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Information
Published In
May 2019
475 pages
ISBN:9781450361262
DOI:10.1145/3329189
- General Chairs:
- Oscar Mayora,
- Stefano Forti,
- Program Chairs:
- Jochen Meyer,
- Lena Mamykina
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- EAI: The European Alliance for Innovation
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Association for Computing Machinery
New York, NY, United States
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Published: 20 May 2019
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PervasiveHealth'19
PervasiveHealth'19: The 13th International Conference on Pervasive Computing Technologies for Healthcare
May 20 - 23, 2019
Trento, Italy
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Overall Acceptance Rate 55 of 116 submissions, 47%
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Cited By
View all- Nacer MPrakoonwit SAlarab I(2021)The Combination of AI, Blockchain, and the Internet of Things for Patient Relationship ManagementInternet of Things10.1007/978-3-030-70478-0_3(49-65)Online publication date: 14-Jul-2021
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