A Comprehensive Review on Smart Decision Support Systems for Health Care
| Autor: | Joel J. P. C. Rodrigues, Jalal Al-Muhtadi, Valery V. Korotaev, Mario W. L. Moreira, Neeraj Kumar |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Decision support system
Data processing Smart system 021103 operations research Knowledge management Computer Networks and Communications business.industry Computer science 0211 other engineering and technologies Intelligent decision support system 02 engineering and technology Computer Science Applications Data modeling Health services Control and Systems Engineering Health care Electrical and Electronic Engineering business Clinical skills Information Systems |
| Zdroj: | IEEE Systems Journal. 13:3536-3545 |
| ISSN: | 2373-7816 1932-8184 |
| DOI: | 10.1109/jsyst.2018.2890121 |
| Popis: | Medical activity requires responsibility not only based on knowledge and clinical skills, but also in managing a vast amount of information related to patient care. It is through the appropriate treatment of information that experts can consistently build a strong policy of welfare. The primary goal of decision support systems (DSSs) is to give information to the experts where and when it is needed. These systems provide knowledge, models, and data processing tools to help the experts make better decisions in several situations. They aim to resolve several problems in health services to help patients and their families manage their health care by providing better access to these services. This paper presents a deep review of the state of the art of smart DSSs. It also elaborates on the latest developments in intelligent systems to support decision-makers in health care. The most promising findings brought in literature are analyzed and summarized according to their taxonomy, application area, year of publication, and the approaches and technologies used. Smart systems can assist decision-makers to improve the effectiveness of their decisions using the integration of data mining techniques and model-based systems. It significantly improves the current approaches, enabling the combination of knowledge from experts and knowledge extracted from data. |
| Databáze: | OpenAIRE |
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