Machine Learning And Population Health
Listing Websites about Machine Learning And Population Health
Machine learning and algorithmic fairness in public and …
(Just Now) WebAlgorithmic solutions to improve treatment are starting to transform health care. Mhasawade and colleagues discuss in this Perspective how machine learning applications in population and public
https://www.nature.com/articles/s42256-021-00373-4
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A population health perspective on artificial intelligence
(3 days ago) WebThe sub-field of machine learning in particular is now being applied to many clinical problems, but machine learning has been applied less frequently to population …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323781/
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Predicting population health with machine learning: a …
(1 days ago) WebConclusions: Machine learning applications in population health have concentrated on regions and diseases well represented in traditional data sources, …
https://pubmed.ncbi.nlm.nih.gov/33109649/
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Machine learning in population health: Opportunities and …
(3 days ago) WebMachine learning (ML) has succeeded in complex tasks by trading experts and programmers for data and nonparametric statistical models. However, the …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258474/
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Machine learning in population health: Opportunities and …
(1 days ago) WebMachine learning in population health: Opportunities and threats PLoS Med. 2018 Nov 27;15(11):e1002702. doi: 10.1371/journal.pmed.1002702. eCollection …
https://pubmed.ncbi.nlm.nih.gov/30481173/
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Big data, machine learning, and population health: …
(1 days ago) WebThe application of machine learning (ML) to address population health challenges has received much less attention than its application in the clinical setting. One such …
https://pubmed.ncbi.nlm.nih.gov/35681091/
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Integrating decision modeling and machine learning to …
(7 days ago) WebRecently proposed machine learning (ML) methods can learn heterogeneity in outcomes without pre-specifying subgroups or functional forms, enabling the construction …
https://onlinelibrary.wiley.com/doi/full/10.1002/hec.4834
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Machine learning and algorithmic fairness in public and …
(2 days ago) WebMachine learning in population and public health Building on the focus of public and population health, here we out-line a taxonomy to organize and illustrate machine …
https://par.nsf.gov/servlets/purl/10310717
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[2008.07278] Machine Learning in Population and Public Health
(2 days ago) WebMachine Learning in Population and Public Health. Vishwali Mhasawade, Yuan Zhao, Rumi Chunara. Research in population and public health focuses on the …
https://arxiv.org/abs/2008.07278
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Machine Learning in Epidemiology and Health Outcomes Research
(7 days ago) WebMachine learning approaches to modeling of epidemiologic data are becoming increasingly more prevalent in the literature. These methods have the potential to improve our …
https://www.annualreviews.org/content/journals/10.1146/annurev-publhealth-040119-094437
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Machine learning in population health: Opportunities and …
(6 days ago) WebMachine learning (ML) has succeeded in complex tasks by trading experts and programmers for data and nonparametric statistical models. However, the applications …
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Home Machine Learning in Public and Population Health
(4 days ago) WebIn order to demonstrate the use of machine learning across aspects of health, comprehensively, we developed a taxonomy of Machine Learning in health tasks …
https://chunaralab.github.io/MLPH/
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The Potential For Bias In Machine Learning And Opportunities For …
(Just Now) WebThe amount of data collected about health care in the United States is enormous 1 and continues to grow rapidly. Machine learning has become embedded in …
https://www.healthaffairs.org/doi/10.1377/hlthaff.2021.01287
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Machine learning and algorithmic fairness in public and …
(5 days ago) WebThis Perspective aims to highlight potential opportunities and challenges for machine learning within a holistic view of health, and builds on research in population and …
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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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Machine Learning in Population and Public Health DeepAI
(9 days ago) WebMachine Learning in Population and Public Health. 07/21/2020. ∙. by Vishwali Mhasawade, et al. ∙. ∙. share. Research in population and public health …
https://deepai.org/publication/machine-learning-in-population-and-public-health
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Big data, machine learning, and population health: predicting …
(3 days ago) WebImpact. To date, the application of machine learning to address population health challenges in paediatrics lags behind other clinical applications. This review …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614199/
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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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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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Comparing machine learning and inverse modeling approaches
(Just Now) WebMathematical models serve as crucial tools for quantitatively assessing the environmental and population impact resulting from the release of hazardous …
https://link.springer.com/article/10.1007/s11869-024-01570-x
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Big data, machine learning, and population health: predicting …
(4 days ago) WebThe Author(s) 2022. The application of machine learning (ML) to address population health challenges has received much less attention than its application in the clinical …
https://www.nature.com/articles/s41390-022-02137-1.pdf
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Machine learning and algorithmic fairness in public and …
(4 days ago) WebThese disparities often manifest in specific gender, income level and race/ethnicity groups experiencing greater health risks2. Algorithmic fairness has recently emerged as a field …
https://www.nature.com/articles/s42256-021-00373-4.pdf
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How AI-Driven Diagnostics Can Save Lives When Humans Can’t
(4 days ago) WebAt the core of this effective diagnosis lies high-quality visual data and powerful machine learning and computer vision algorithms. When trained on high-quality data, …
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Advancing health equity with artificial intelligence - PMC
(3 days ago) WebFederal governance. In January 2021, the US Food and Drug Administration (FDA) indicated its intent to develop a regulatory guidance for AI in their ‘Artificial …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607970/
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Progression from Prediabetes to Diabetes in a Diverse US …
(1 days ago) WebObjective To date, there are no widely implemented machine learning (ML) models that predict progression from prediabetes to diabetes. Addressing this knowledge gap would …
https://pubmed.ncbi.nlm.nih.gov/38621172/
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Predicting anxiety, depression, and insomnia among Bangladeshi
(3 days ago) WebMental health problem is a rising public health concern. People of all ages, specially Bangladeshi university students, are more affected by this burden. Thus, the …
https://onlinelibrary.wiley.com/doi/10.1002/hsr2.2037
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Predicting Diabetes with Machine Learning Analysis of Income and …
(2 days ago) WebWe employ statistical and machine learning techniques to unravel the complex interplay between socio-economic status and diabetes, providing new insights into how financial …
https://ui.adsabs.harvard.edu/abs/2024arXiv240413260J/abstract
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Integrated multi-omics analysis and machine learning developed a
(4 days ago) WebTen machine learning algorithms were utilized and combined into 101 unique combinations. Ultimately, we developed a Mitochondrial-related-Score (MitoScore) using …
https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-024-05109-7
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A satellite-based, near real-time, street-level resolution air
(Just Now) WebA satellite-based, near real-time, street-level resolution air pollutants monitoring system using machine learning for personalised skin health applications. …
https://link.springer.com/article/10.1007/s11869-024-01577-4
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A machine learning screening model for identifying the risk of …
(1 days ago) Web4 Department of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, Therefore, the purpose of this study was to …
https://pubmed.ncbi.nlm.nih.gov/38664666/
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Diagnostics Free Full-Text Innovative Machine Learning …
(5 days ago) WebAMA Style. Sufian MA, Hamzi W, Hamzi B, Sagar ASMS, Rahman M, Varadarajan J, Hanumanthu M, Azad MAK. Innovative Machine Learning Strategies for …
https://www.mdpi.com/2075-4418/14/9/920/notes
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Practical approaches in evaluating validation and biases of …
(Just Now) WebWhen machine learning models are applied to medical data, an important question is whether the model learns subject-specific characteristics (not desired effect) …
https://www.nature.com/articles/s43856-024-00468-0
Category: Medical Show Health
Population synthesis of Galactic pulsars with machine learning
(2 days ago) WebThis thesis work represents the first efforts to combine population synthesis studies of the Galactic isolated neutron stars with deep-learning techniques with the aim …
https://arxiv.org/abs/2404.15953
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