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.
- E. Turban. 1993. Decision Support and Expert Systems: Management Support Systems (3rd ed.). Prentice Hall PTR, Upper Saddle River, NJ, USA. ISBN:0024216917 Google ScholarDigital Library
- M. Vidaković, S. Ćosić, O. Ćosić, I. Kaštelan and G. Velikić. 2018. One solution for execution of JavaScript in Java EE application servers. In Proceedings of the Zooming Inovation in Consumer Technologies Conference (ZINC 2018). pp. 177--180.Google ScholarCross Ref
- "Decision Support and Self-Management System for Stroke Survivors" (STARR), http://www.starrproject.org/ (accessed on 25 Feb 2019)Google Scholar
- R. Baptista, E. Ghorbel, A. Shabayek, D. Aouada and B. Ottersten. 2018. Key-Skeleton Based Feedback Tool for Assisting Physical Activity. In Proceedings of the Zooming Inovation in Consumer Technologies Conference (ZINC 2018). pp. 175--176.Google ScholarCross Ref
- C. Magnusson, M. Anastassova, S. Paneels, K. Rassmus-Gröhn, B. Rydeman, G. Randall, L. Ortiz Fernandez, S. Bouilland, J. Pager and P. Olof Hedvall. 2018. Stroke and universal design. In Proceedings of Universal Design and Higher Education in Transformation Congress 2018. pp. 854--861Google Scholar
- M. Abadi et al. 2016. TensorFlow: A System for Large-Scale Machine Learning. In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2016). pp. 265--283 Google ScholarDigital Library
- "Top 9 Frameworks in the World of Artificial Intelligence", https://geekflare.com/ai-frameworks/ (accessed on 25 Feb 2019)Google Scholar
- "Top 10 Trending Artificial Intelligence Frameworks and Libraries", https://hackernoon.com/top-10-trending-artificial-intelligence-frameworks-and-libraries-69ba59057a78 (accessed on 25 Feb 2019)Google Scholar
- P. Su, X. Ding, Y. Zhang, J. Liu, F. Miao and N. Zhao. 2018. Long-term blood pressure prediction with deep recurrent neural networks. In Proceedings of the International Conference on Biomedical & Health Informatics (BHI 2018).Google Scholar
- M. Ture, I. Kurt, A.T. Kurum and K. Ozdamar. 2005. Comparing classification techniques for predicting essential hypertension, In Expert Systems with Applications, Vol. 29, Issue 3. pp. 583--588. Google ScholarDigital Library
- R. Voss, P. Cullen, H. Schulte and G. Assmann. Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Münster Study (PROCAM) using neural networks. In International Journal of Epidemiology, Vol. 31, Issue 6. pp. 1253--1262.Google ScholarCross Ref
- Personal Health Tracker, http://zuum.wustl.edu/ (accessed on 25 Feb 2019)Google Scholar
- S. Ruder. 2017. An overview of gradient descent optimization algorithms. https://arxiv.org/abs/1609.04747 (accessed on 25 Feb 2019)Google Scholar
Index Terms
- Adding AI to the Decision Support System used in Patient Health Assessment
Recommendations
ArdoCare – a collaborative medical decision support system
AbstractFor decision-makers, a decision-making support is an essential component in any activity or industry. Decision Support Systems (DSS) provide decision-makers with functionalities to exploit various information on which to build a basis for making ...
Robot selection decision support system: A fuzzy set approach
Arriving at the decision to install a robot can be a difficult and complicated process. Even after the initial decision to acquire a robot is made, the problem of which robot to select from the many that are available can confound managers who often ...
Fuzzy decision support system for crisis management with a new structure for decision making
This paper introduces a fuzzy decision support system (FDSS) with a new decision making structure, which can be applied to manage the crisis conditions in any large scale systems with many parameters. After receiving both functional variables of the ...
Comments