Name
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.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3329189.3329246 | Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare |
Keywords | Field | DocType |
Artificial Intelligence, Decision Support System, TensorFlow | Computer science,Computer security,Engineering management,Decision support system,Health assessment | Conference |
ISSN | ISBN | Citations |
2153-1633 | 978-1-4503-6126-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milan Vidakovic | 1 | 64 | 11.37 |
| Stefan Ćosić | 2 | 0 | 0.34 |
| Ognjen Ćosić | 3 | 0 | 0.34 |
| Ivan Kastelan | 4 | 41 | 14.47 |
| Gordana Velikic | 5 | 10 | 8.37 |