AIMC Topic: Population Groups

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Application of facial analysis Technology in Clinical Genetics: Considerations for diverse populations.

American journal of medical genetics. Part C, Seminars in medical genetics Aug 3, 2023
Facial analysis technology in rare diseases has the potential to shorten the diagnostic odyssey by providing physicians with a valuable diagnostic tool. Given that most clinical genetic resources focus on populations of European descent, we compare c...
Humans Artificial Intelligence Technology Population Groups Machine Learning Algorithms
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Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.

BMC health services research Nov 17, 2021
BACKGROUND: Hospitals in the public and private sectors tend to join larger organizations to form hospital groups. This increasingly frequent mode of functioning raises the question of how countries should organize their health system, according to t...
Population Groups Hospitals, Public Humans Cluster Analysis Unsupervised Machine Learning Health Services
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Stakeholders' views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol.

BMJ open Mar 22, 2021
INTRODUCTION: Artificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kep...
Organizations Research Design Humans Artificial Intelligence Population Groups Delivery of Health Care Scoping Reviews As Topic Health Facilities
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Early detection of sepsis using artificial intelligence: a scoping review protocol.

Systematic reviews Jan 16, 2021
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early dete...
Population Groups Scoping Reviews As Topic Shock, Septic Publications Humans Artificial Intelligence Research Design
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Comparison of Use of Health Care Services and Spending for Unauthorized Immigrants vs Authorized Immigrants or US Citizens Using a Machine Learning Model.

JAMA network open Dec 1, 2020
IMPORTANCE: Knowledge about use of health care services (health care utilization) and expenditures among unauthorized immigrant populations is uncertain because of limitations in ascertaining legal status in population data.
Undocumented Immigrants Population Groups Minority Health Patient Acceptance of Health Care Humans Middle Aged Los Angeles Machine Learning Family Characteristics Health Expenditures Cross-Sectional Studies Data Collection Databases, Factual Emigrants and Immigrants Male Female
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Ontology and values anchor indigenous and grey nomenclatures: a case study in lichen naming practices among the Samí, Sherpa, Scots, and Okanagan.

Studies in history and philosophy of biological and biomedical sciences Sep 10, 2020
Ethnobotanical research provides ample justification for comparing diverse biological nomenclatures and exploring ways that retain alternative naming practices. However, how (and whether) comparison of nomenclatures is possible remains a subject of d...
Humans Biological Ontologies Lichens British Columbia Scotland Social Values Terminology as Topic Nepal Population Groups Norway
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[Neurocomputer identification of order parameters in gerontology].

Advances in gerontology = Uspekhi gerontologii Jan 1, 2015
Investigation of distinctions discovered between three groups of different age female-khanty (indigenous population of Ugra, Russia) of five active components (from all 14 components registered) of a state vector of cardiovascular system shows the wr...
Population Groups Aging Russia Statistical Distributions Neural Networks, Computer Humans Cardiovascular System Geriatrics Health Status Indicators
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