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GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics
BackgroundArtificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring...
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Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
Medical imaging AI systems and big data analytics have attracted much attention from researchers of industry and academia. The application of medical...
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Current State of Data and Analytics Research in Baseball
Purpose of ReviewBaseball has become one of the largest data-driven sports. In this review, we highlight the historical context of how big data and...
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How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review
BackgroundMultiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been...
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Learning analytics and the future of postgraduate medical training
Confronted by the many barriers and deficiencies which currently face those responsible for the training of doctors, the concept of a logic model...
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Internet analytics of an innovative digital educational resource of type 1 diabetes HelloType1 in local languages for people living with diabetes families and healthcare professionals in Southeast Asia
BackgroundThere is minimal data of health outcomes for Type 1 Diabetes (T1D) in Southeast Asia (SEA) where government funding of insulin and blood...
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NiMBaLWear analytics pipeline for wearable sensors: a modular, open-source platform for evaluating multiple domains of health and behaviour
BackgroundRecent technological advances have led to a surge in the use of wearable devices for personal health and fitness monitoring; however,...
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The path from big data analytics capabilities to value in hospitals: a scoping review
BackgroundAs the uptake of health information technologies increased, most healthcare organizations have become producers of big data. A growing...
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Hyperthyroidism and cardiovascular disease: an association study using big data analytics
BackgroundThe cardiovascular (CV) system is profoundly affected by thyroid hormones. Both hypo- and hyperthyroidism can increase the risk of severe...
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How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care
BackgroundMuch has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been...
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An automatic speech analytics program for digital assessment of stress burden and psychosocial health
The stress burden generated from family caregiving makes caregivers particularly prone to developing psychosocial health issues; however, with early...
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Data analytics and artificial intelligence in predicting length of stay, readmission, and mortality: a population-based study of surgical management of colorectal cancer
Data analytics and artificial intelligence (AI) have been used to predict patient outcomes after colorectal cancer surgery. A prospectively...
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Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics
PurposeThe aim of the study was to benchmark and compare breast cancer care quality indicators (QIs) between Norway and the Netherlands using...
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Imaging biomarkers and radiomics in pediatric oncology: a view from the PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers) project
This review paper presents the practical development of imaging biomarkers in the scope of the PRIMAGE (PRedictive In silico Multiscale Analytics to...
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Predictive analytics for cardio-thoracic surgery duration as a stepstone towards data-driven capacity management
Effective capacity management of operation rooms is key to avoid surgery cancellations and prevent long waiting lists that negatively affect clinical...
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Online reach and engagement of a child nutrition peer-education program (PICNIC): insights from social media and web analytics
BackgroundParents frequently seek parental advice online and on social media; thus, these channels should be better utilized in child health...
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Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
ObjectivesTo analyze the response in the management of both radiological emergencies and continuity of care in oncologic/fragile patients of a...
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The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU
In 2011, a multicenter group spearheaded at the University of Virginia demonstrated reduced mortality from real-time continuous cardiorespiratory...
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Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
BackgroundHeart failure (HF) is a major complication following ischemic heart disease (IHD) and it adversely affects the outcome. Early prediction of...
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Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on...
