From big data to precision medicine

T Hulsen, SS Jamuar, AR Moody, JH Karnes… - Frontiers in …, 2019 - frontiersin.org
For over a decade the term “Big data” has been used to describe the rapid increase in
volume, variety and velocity of information available, not just in medical research but in …

Patients' and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence

S Kalkman, J Van Delden, A Banerjee, B Tyl… - Journal of medical …, 2022 - jme.bmj.com
Introduction International sharing of health data opens the door to the study of the so-called
'Big Data', which holds great promise for improving patient-centred care. Failure of recent …

[HTML][HTML] Effect of systolic and diastolic blood pressure on cardiovascular outcomes

AC Flint, C Conell, X Ren, NM Banki… - … England Journal of …, 2019 - Mass Medical Soc
Background The relationship between outpatient systolic and diastolic blood pressure and
cardiovascular outcomes remains unclear and has been complicated by recently revised …

Avoidable flaws in observational analyses: an application to statins and cancer

BA Dickerman, X García-Albéniz, RW Logan… - Nature medicine, 2019 - nature.com
The increasing availability of large healthcare databases is fueling an intense debate on
whether real-world data should play a role in the assessment of the benefit–risk of medical …

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER

S Denaxas, A Gonzalez-Izquierdo… - Journal of the …, 2019 - academic.oup.com
Abstract Objective Electronic health records (EHRs) are a rich source of information on
human diseases, but the information is variably structured, fragmented, curated using …

A scoping review of using large language models (llms) to investigate electronic health records (ehrs)

L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …

Knowledge driven approach for smart bridge maintenance using big data mining

Y Jiang, G Yang, H Li, T Zhang - Automation in Construction, 2023 - Elsevier
Life cycle bridge maintenance is highly complex and multi-disciplinary oriented. Advanced
technologies have been widely adopted, but the generated data and information are often …

Opportunities and challenges in application of artificial intelligence in pharmacology

M Kumar, TPN Nguyen, J Kaur, TG Singh, D Soni… - Pharmacological …, 2023 - Springer
Artificial intelligence (AI) is a machine science that can mimic human behaviour like
intelligent analysis of data. AI functions with specialized algorithms and integrates with deep …

Digital health: trends, opportunities and challenges in medical devices, pharma and bio-technology

N Kasoju, NS Remya, R Sasi, S Sujesh, B Soman… - CSI Transactions on …, 2023 - Springer
Digital health interventions refer to the use of digital technology and connected devices to
improve health outcomes and healthcare delivery. This includes telemedicine, electronic …

Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare

SK Gill, A Karwath, HW Uh, VR Cardoso… - European Heart …, 2023 - academic.oup.com
Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides
clinicians and researchers with a step-wise foundation for high-value AI that can be applied …