[HTML][HTML] The “inconvenient truth” about AI in healthcare
As the UK sits in painful deadlock over Brexit, it is important to remember that governments
are regularly faced with crises, and their responses can create enduring benefit for future …
are regularly faced with crises, and their responses can create enduring benefit for future …
The data-driven future of healthcare: a review
MM Amri, SA Abed - Mesopotamian Journal of Big Data, 2023 - mesopotamian.press
The future of disease detection, treatment, and prevention may very well lie in data-driven
healthcare. Here, we take stock of where things stand and highlight certain emerging issues …
healthcare. Here, we take stock of where things stand and highlight certain emerging issues …
Population segmentation based on healthcare needs: a systematic review
Background Healthcare needs-based population segmentation is a promising approach for
enabling the development and evaluation of integrated healthcare service models that meet …
enabling the development and evaluation of integrated healthcare service models that meet …
A scoping review of the clinical application of machine learning in data-driven population segmentation analysis
Objective Data-driven population segmentation is commonly used in clinical settings to
separate the heterogeneous population into multiple relatively homogenous groups with …
separate the heterogeneous population into multiple relatively homogenous groups with …
Wearable-based accelerometer activity profile as digital biomarker of inflammation, biological age, and mortality using hierarchical clustering analysis in NHANES …
Repeated disruptions in circadian rhythms are associated with implications for health
outcomes and longevity. The utilization of wearable devices in quantifying circadian rhythm …
outcomes and longevity. The utilization of wearable devices in quantifying circadian rhythm …
Patterns of diet, physical activity, sitting and sleep are associated with socio-demographic, behavioural, and health-risk indicators in adults
Our understanding of how multiple health-behaviours co-occur is in its infancy. This study
aimed to:(1) identify patterns of physical activity, diet, sitting, and sleep; and (2) examine the …
aimed to:(1) identify patterns of physical activity, diet, sitting, and sleep; and (2) examine the …
Characterization of high healthcare utilizer groups using administrative data from an electronic medical record database
Abstract Background High utilizers (HUs) are a small group of patients who impose a
disproportionately high burden on the healthcare system due to their elevated resource use …
disproportionately high burden on the healthcare system due to their elevated resource use …
Network type, transition patterns and well-being among older Europeans
Using SHARE data, this study was based on an earlier analysis that derived social network
types among adults aged 65 and over in Europe. The current effort investigated the …
types among adults aged 65 and over in Europe. The current effort investigated the …
[HTML][HTML] Segmenting citizens according to their self-sufficiency: A tool for local government
M Fluit, T Bortolotti, M Broekhuis… - Social Science & Medicine, 2023 - Elsevier
Identifying subgroups of citizens with varying levels of self-sufficiency in a large local or
regional population provides local government with essential input for providing matching …
regional population provides local government with essential input for providing matching …
Comparing natural language processing representations of coded disease sequences for prediction in electronic health records
Objective Natural language processing (NLP) algorithms are increasingly being applied to
obtain unsupervised representations of electronic health record (EHR) data, but their …
obtain unsupervised representations of electronic health record (EHR) data, but their …