An ontology-based system to predict hospital readmission within 30 days

Ghamdi, Huda Al; Alshammari, Riyad; Razzak, Muhammad Imran

doi:10.1080/20479700.2016.1139768

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Figures are provided for [217]. It has been prepared to analyze factors related to readmission as well as other outcomes pertaining to patients with diabetes [218,219].…”

Section: Datasetsmentioning

confidence: 99%

Big data analytics for preventive medicine

Razzak

Imran

2019

Neural Comput & Applic

Self Cite

162

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Medical data is one of the most rewarding and yet most complicated data to analyze. How can healthcare providers use modern data analytics tools and technologies to analyze and create value from complex data? Data analytics, with its promise to efficiently discover valuable pattern by analyzing large amount of unstructured, heterogeneous, non-standard and incomplete healthcare data. It does not only forecast but also helps in decision making and is increasingly noticed as breakthrough in ongoing advancement with the goal is to improve the quality of patient care and reduces the healthcare cost. The aim of this study is to provide a comprehensive and structured overview of extensive research on the advancement of data analytics methods for disease prevention. This review first introduces disease prevention and its challenges followed by traditional prevention methodologies. We summarize state-of-the-art data analytics algorithms used for classification of disease, clustering (unusually high incidence of a particular disease), anomalies detection (detection of disease) and association as well as their respective advantages, drawbacks and guidelines for selection of specific model followed by discussion on recent development and successful application of disease prevention methods. The article concludes with open research challenges and recommendations.

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“…Figures are provided for [217]. It has been prepared to analyze factors related to readmission as well as other outcomes pertaining to patients with diabetes [218,219].…”

Section: Datasetsmentioning

confidence: 99%

Big data analytics for preventive medicine

Razzak

Imran

2019

Neural Comput & Applic

Self Cite

162

View full text Add to dashboard Cite

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“…Recently Jalal et al [8] have proposed an intelligent depth video-based human activity recognition system to track elderly patients that could be used as a part of a healthcare management and monitoring system. However, the paper does not [6] have proposed an ontology-based system for prediction patients' readmission within 30 days so that these readmissions can be prevented.…”

Section: State Of the Artmentioning

confidence: 99%

DataCare: Big Data Analytics Solution for Intelligent Healthcare Management

Gómez¹,

Rada²,

Sáez³

2018

IJIMAI

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This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to estimate future values for these key performance indicators and, as a result, fire early alerts when undesirable values are about to occur or provide recommendations to improve the quality of service. DataCare's core processes are built over a free and open-source cross-platform document-oriented database (MongoDB), and Apache Spark, an open-source clustercomputing framework. This architecture ensures high scalability capable of processing very high data volumes coming at fast speed from a large set of sources. This article describes the architecture designed for this project and the results obtained after conducting a pilot in a healthcare center. Useful conclusions have been drawn regarding how key performance indicators change based on different situations, and how they affect patients' satisfaction.

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Integrated ontology-based approach with navigation and content representation for health care website design

Chang

Kao

et al. 2022

Computers in Human Behavior

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An ontology-based system to predict hospital readmission within 30 days

Cited by 6 publications

References 11 publications

Big data analytics for preventive medicine

Big data analytics for preventive medicine

DataCare: Big Data Analytics Solution for Intelligent Healthcare Management

Integrated ontology-based approach with navigation and content representation for health care website design

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