Population Health Management Machine Learning
Listing Websites about Population Health Management Machine Learning
Predicting population health with machine learning: a scoping …
(3 days ago) WEBOverall, as applications of machine learning in population health develop, adherence to existing guidance 16 17 29 will improve our ability to assess and advance …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592293/
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Machine learning and algorithmic fairness in public and …
(Just Now) WEBDecades of work in population and public health has informed research and practice that aim to understand what makes and keeps people and populations healthy …
https://www.nature.com/articles/s42256-021-00373-4
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Machine learning in population health: Opportunities and threats
(8 days ago) WEBMachine learning (ML) has succeeded in complex tasks by trading experts and programmers for data and nonparametric statistical models. However, the …
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002702
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Big data, machine learning, and population health: predicting …
(Just Now) WEBThe application of machine learning (ML) to address population health challenges has received much less attention than its application in the clinical setting. …
https://www.nature.com/articles/s41390-022-02137-1
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Predicting population health with machine learning: a scoping …
(2 days ago) WEBmachine learning approaches for health applications. 15 16 Population health applications of prediction models are relatively new compared with clinical applications; …
https://bmjopen.bmj.com/content/bmjopen/10/10/e037860.full.pdf
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Human-in-the-loop machine learning with applications for …
(Just Now) WEBNext, a case study of our recent application study in human-in-the-loop machine learning for population health is introduced. Finally, we analyze current …
https://link.springer.com/article/10.1007/s42486-022-00115-4
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Application of ensemble machine learning algorithms on - Nature
(Just Now) WEBFrom a population health perspective, this helps create patient self-awareness of health status, and motivate higher risk patients to seek therapy early, …
https://www.nature.com/articles/s41598-021-04649-y
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Predicting population health with machine learning: A …
(8 days ago) WEBThe goals of our review are to determine. how machine learning has been applied to prediction in. population health, the nature of the models and data. used, and how the models have been developed
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A Machine Learning Approach to Management of Heart Failure …
(7 days ago) WEBOptimized population health management demands novel, data-driven approaches for allocating health care resources, particularly within new value-based …
https://www.sciencedirect.com/science/article/pii/S2213177920301384
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Predictive Models for Population Health Management
(6 days ago) WEBBuilding successful predictive models for population health requires the right combination of data, technology, and human intervention. The journey requires …
https://www.healthcatalyst.com/insights/predictive-models-population-health-management
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Strategic Analysis of Population Health Management using …
(6 days ago) WEBThe purpose of this research is to create a disease prediction system that can make precise inferences from user input using machine learning algorithms. The interface of the …
https://ieeexplore.ieee.org/document/10193171/
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Population health management could see wins from AI, machine …
(1 days ago) WEBThe role of artificial intelligence in addressing population health management is explored. AI and machine learning can play a key role in population health in the areas of …
https://www.modernhealthcare.com/indepth/how-ai-plays-role-in-population-health-management/
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A Value Proposition for AI-Enabled Population Health Management
(2 days ago) WEBApplied to population health management, the same power will create entirely new health platforms based on increasingly creative benefit design. Submitted: …
https://hmpi.org/2019/04/21/a-value-proposition-for-ai-enabled-population-health-management/
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A Case Study for a Big Data and Machine Learning Platform to …
(9 days ago) WEBKeralty organization is already working on developing an intelligent big data analytic platform based on machine learning and data integration principles. We …
https://www.mdpi.com/1999-4893/13/4/102
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Strategic Analysis of Population Health Management using …
(2 days ago) WEBDOI: 10.1109/ICESC57686.2023.10193171 Corpus ID: 260386239; Strategic Analysis of Population Health Management using Machine Learning …
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Predicting population health with machine learning: a scoping …
(5 days ago) WEBObjective To determine how machine learning has been applied to prediction applications in population health contexts. Specifically, to describe which outcomes have been …
https://bmjopen.bmj.com/content/10/10/e037860
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Leveraging AI for COVID-19 Outreach, Population Health …
(9 days ago) WEBIn the case of COVID-19, MHN is leveraging AI to identify patients at high risk of experiencing severe respiratory infections or respiratory failure, a particularly …
https://healthitanalytics.com/news/leveraging-ai-for-covid-19-outreach-population-health-management
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10 high-value use cases for predictive analytics in healthcare
(7 days ago) WEB6. POPULATION HEALTH. While much of healthcare is concerned with improving individual patients’ well-being, advancing the health of populations is …
https://healthitanalytics.com/news/10-high-value-use-cases-for-predictive-analytics-in-healthcare
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Machine Learning - Syra Health
(2 days ago) WEBApplying machine learning to population health challenges Social variables have a complicated interaction with patient risk and health outcomes in population health. …
https://www.syrahealth.com/population-health-management/analytics/machine-learning
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A machine learning screening model for identifying - BMC …
(7 days ago) WEBHearing impairment (HI) has become a major public health issue in China. Currently, due to the limitations of primary health care, the gold standard for HI …
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18636-1
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