Journalofbigdata.springeropen.com

Preventive healthcare policies in the US: solutions for disease

Chronic diseases encompass diabetes mellitus (type II), hypertension, kidney diseases, obesity, inflammatory diseases, and … See more

Actived: 7 days ago

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 …

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Big data in healthcare: management, analysis and future prospects

Web‘Big data’ is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential …

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The use of Big Data Analytics in healthcare

WebThe introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims …

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Investigating the adoption of big data analytics in healthcare: the

WebBig data analytics is gaining substantial attention due to its innovative contribution to decision making and strategic development across the healthcare field. …

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The evolution of Big Data in neuroscience and neurology

WebNeurological diseases are on the rise worldwide, leading to increased healthcare costs and diminished quality of life in patients. In recent years, Big Data has …

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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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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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A review of data mining using big data in health informatics

WebThe term Big Data is a vague term with a definition that is not universally agreed upon. According to [], a rough definition would be any data that is around a …

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Knowledge discovery from a more than a decade studies on

WebAnnually, lots of research papers are published in scientific journals around the world. The knowledge of the status of research is a prerequisite for research planning …

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Advanced machine learning techniques for cardiovascular disease …

WebThe identification and prognosis of the potential for developing Cardiovascular Diseases (CVD) in healthy individuals is a vital aspect of disease …

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Machine learning-based identification of patients with a …

WebCardiovascular diseases had been for a long time one of the essential medical problems. As indicated by the World Health Association, heart ailments are at …

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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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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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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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Big Data fraud detection using multiple medicare data sources

WebIn the United States, advances in technology and medical sciences continue to improve the general well-being of the population. With this continued progress, …

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Deep convolutional neural network based medical image

WebMedical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on performance. …

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Explainable machine learning models for Medicare fraud detection

WebAs a means of building explainable machine learning models for Big Data, we apply a novel ensemble supervised feature selection technique. The technique is applied …

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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 …

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