Journalofbigdata.springeropen.com

Preventive healthcare policies in the US: solutions for …

WebPrevention is one of the most important pillars of public health. The Institute of Medicine (IOM) estimates that missed prevention …

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URL: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-020-00315-8

Healthcare knowledge graph construction: A systematic review of …

WebThe incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics …

Category: Health Go Health

Toward a smart health: big data analytics and IoT for real-time

WebWe are living in an age where data is everywhere and grows up in a very speedy way. Thanks to sensors, mobile phones and social networks, we can gather a …

Category: Health Go Health

Remote patient monitoring and classifying using the

WebMany researchers have recently considered patients’ health and provided an optimal and appropriate solution. With the advent of technologies such as cloud …

Category: Health Go Health

Impact of random oversampling and random undersampling on …

WebIn this study, we developed and validated prediction models using the Patient-Level Prediction (PLP) framework from the Observational Health Data Sciences and …

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The power of big data mining to improve the health care system …

WebContext Collecting and analyzing data has become crucial for many sectors, including the health care sector, where a hefty amount of data is generated daily. Over …

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Investigating the adoption of big data analytics in …

WebBig data analytics is gaining substantial attention due to its innovative contribution to decision making and strategic development across the healthcare field. Therefore, this study explored the adoption …

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Assessing survival time of heart failure patients: using …

WebHeart failure is a failure of the heart to pump blood with normal efficiency and a globally growing public health issue with a high death rate all over the world, including …

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Digital social innovation based on Big Data Analytics for health …

WebAny nation's health policy aims to properly care for its citizens and the society's quality of life. Since in the healthcare system, the population's health is the …

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Machine learning-based identification of patients with a …

WebAccording to the World Health Organization, the number of deaths will add up by 24.5 million in 2030 [], because of the growth of cardiovascular risk factors such as …

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Big healthcare data: preserving security and privacy

WebBig data has fundamentally changed the way organizations manage, analyze and leverage data in any industry. One of the most promising fields where big data can …

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Risk and UCON-based access control model for healthcare big data

WebThe rapid development of healthcare big data has brought certain convenience to medical research and health management, but privacy protection of …

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A review of data mining using big data in health informatics

WebThe amount of data produced within Health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge …

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Medicare fraud detection using neural networks Journal of Big …

WebMedicare is a United States (U.S.) healthcare program established and funded by the Federal Government that provides affordable health insurance to …

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A new Internet of Things architecture for real-time prediction of

WebA number of technologies enabled by Internet of Thing (IoT) have been used for the prevention of various chronic diseases, continuous and real-time tracking system …

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Hierarchical data fusion for Smart Healthcare Journal of Big Data

WebThe Internet of Things (IoT) facilitates creation of smart spaces by converting existing environments into sensor-rich data-centric cyber-physical systems with an …

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Big data analytics on social networks for real-time depression

WebThe World Health Organization estimated that there were approximately 280 million people in 2021 who suffered from depression. In low-income and middle-income …

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Multi-layered deep learning perceptron approach for health risk

WebElectronic Health Record (HER) information mining which intends to predict the future data as indicated by the chronicled records from medical repository . Med2Vec …

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Stress detection using natural language processing and

WebThe mental health prediction and monitoring also need to be combined with other health parameters such as eating, sleeping, physiological and other factors. Role …

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Predictors of outpatients’ no-show: big data analytics using …

WebOutpatient no-shows, who failed to attend scheduled appointments, in healthcare systems remain problematic [1, 2].Patients’ no-shows typically result in …

Category: Health Go Health