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Smart city lifestyle sensing, big data, geo-analytics and intelligence for smarter public health decision-making in overweight, obesity and type 2 diabetes prevention: the research we should be doing
The public health burden caused by overweight, obesity (OO) and type-2 diabetes (T2D) is very significant and continues to rise worldwide. The...
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An integrated FoodNet in North East India: fostering one health approach to fortify public health
BackgroundFood safety is a critical factor in promoting public health and nutrition, especially in develo** countries like India, which experience...
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Data saves lives: optimising routinely collected clinical data for rare disease research
Necessity driven organisational change in the post-pandemic landscape has seen health care providers adopting innovations to manage and process...
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Data harnessing to nurture the human mind for a tailored approach to the child
AbstractBig data in pediatrics is an ocean of structured and unstructured data. Big data analysis helps to dive into the ocean of data to filter out...
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From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights
Graph data models are an emerging approach to structure clinical and biomedical information. These models offer intriguing opportunities for novel...
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Digital twins for health: a sco** review
The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of...
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IMplementing Predictive Analytics towards efficient COPD Treatments (IMPACT): protocol for a stepped-wedge cluster randomized impact study
IntroductionPersonalized disease management informed by quantitative risk prediction has the potential to improve patient care and outcomes. The...
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Health and work: regional health reporting on employees in Germany
The vast majority of people work a large part of their live, therefore work inevitably has a major impact on health as well. In Germany, great...
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Using real-world data from health systems to evaluate the safety and effectiveness of a catheter to treat ischemic ventricular tachycardia
BackgroundThe ThermoCool STSF catheter is used for ablation of ischemic ventricular tachycardia (VT) in routine clinical practice, although outcomes...
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Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train
ObjectiveHospitals and healthcare providers should assess and compare the quality of care given to patients and based on this improve the care. In...
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Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Data-driven decision-making in modern healthcare underpins innovation and predictive analytics in public health and clinical research. Synthetic data...
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The application of artificial intelligence in health policy: a sco** review
BackgroundPolicymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial...
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A data-driven framework for introducing predictive analytics into expanded program on immunization in Pakistan
BackgroundPakistan has a nationwide expanded program on immunization (EPI), yet vaccination coverage in Pakistan is quite low. Recently, an...
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Electronic medical records driven big data analytics in retinal diseases, report number 1: non-oncological retinal diseases in children and adolescents in India
PurposeTo describe the spectrum and demographic distribution of non-oncological retinal diseases in children and adolescents presenting to a...
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Infectious diseases prevention and control using an integrated health big data system in China
BackgroundThe Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled...
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Challenges and Opportunities in Multimodal Monitoring and Data Analytics in Traumatic Brain Injury
Purpose of ReviewIncreasingly sophisticated systems for monitoring the brain have led to an increase in the use of multimodality monitoring (MMM) to...
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Personalised learning in higher education for health sciences: a sco** review protocol
BackgroundPersonalised learning, an educational approach that tailors teaching and learning to individual needs and preferences, has gained attention...
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Exploring the tradeoff between data privacy and utility with a clinical data analysis use case
BackgroundSecuring adequate data privacy is critical for the productive utilization of data. De-identification, involving masking or replacing...
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Data sources for precision public health of obesity: a sco** review, evidence map and use case in Queensland, Australia
BackgroundGlobal action to reduce obesity prevalence requires digital transformation of the public health sector to enable precision public health...
