IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare

Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare
View Sample PDF
Author(s): David Mendes (DECSIS, Portugal), Manuel José Lopes (Universidade de Évora, Portugal), Artur Romão (DECSIS, Portugal)and Irene Pimenta Rodrigues (Universidade de Évora, Portugal)
Copyright: 2019
Pages: 17
Source title: Chronic Illness and Long-Term Care: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7122-3.ch036

Purchase


Abstract

The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for disease auto management but prominently by activating the less differentiated caregiver for any specific need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.

Related Content

Genevieve Z. Steiner-Lim, Madilyn Coles, Kayla Jaye, Najwa-Joelle Metri, Ali S. Butt, Katerina Christofides, Jackson McPartland, Zainab Al-Modhefer, Diana Karamacoska, Ethan Russo, Tim Karl. © 2023. 47 pages.
Mohd Kashif, Mohammad Waseem, Poornima D. Vijendra, Ashok Kumar Pandurangan. © 2023. 28 pages.
Courtney R. Acker, Rana R. Zeine. © 2023. 27 pages.
Mahesh Pattabhiramaiah, Shanthala Mallikarjunaiah. © 2023. 16 pages.
Dhairavi Shah, Dhaara Shah, Yara Mohamed, Danna Rosas, Alyssa Moffitt, Theresa Hearn Haynes, Francis Cortes, Taunjah Bell Neasman, Phani kumar Kathari, Ana Villagran, Rana R. Zeine. © 2023. 28 pages.
Mohammad Uzair, Hammad Qaiser, Muhammad Arshad, Aneesa Zafar, Shahid Bashir. © 2023. 23 pages.
Akila Muthuramalingam, Ashok Kumar Pandurangan, Subhamoy Banerjee. © 2023. 17 pages.
Body Bottom