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 …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323781/
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Predicting population health with machine learning: a scoping …
(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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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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Open access Original research Predicting population health …
(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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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 …
(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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Machine learning in population health: Opportunities and threats
(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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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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[PDF] Predicting population health with machine learning: a …
(3 days ago) WEBMachine learning applications in population health have concentrated on regions and diseases well represented in traditional data sources, infrequently using big …
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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 and algorithmic fairness in public and …
(9 days ago) WEBGiven the key foci of health equity and disparities within public and population health, we juxtapose these topics with the machine learning subfield of algorithmic fairness to …
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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 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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Advancing health equity with artificial intelligence - PMC
(3 days ago) WEBKeywords: Health equity, Artificial intelligence, Machine learning, Health policy, Algorithmic bias Introduction Artificial intelligence (AI) continues to feature …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607970/
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Population health management could see wins from AI, machine …
(1 days ago) WEBAI and machine learning can play a key role in population health in the areas of disease risk and prevention, reduce hospitalizations and even offer patients an avenue for self …
https://www.modernhealthcare.com/indepth/how-ai-plays-role-in-population-health-management/
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Twenty-four-hour physical activity patterns - BMC Public Health
(7 days ago) WEBDepression is a mood disorder that causes persistent sadness and loss of interest in enjoyable activities [1,2,3,4].Depression is a prevalent mental health …
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18759-5
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Identification of Suicide Attempt Risk Factors in a National US …
(7 days ago) WEBThis study evaluates future suicide attempt risk factors in the general population using a data-driven machine learning approach that includes more than [Skip to Navigation]
https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2774348
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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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JCM Free Full-Text A Machine Learning-Based Mortality …
(1 days ago) WEBBackground: Chronic hepatitis C (HCV) infection presents global health challenges with significant morbidity and mortality implications. Successfully treating …
https://www.mdpi.com/2077-0383/13/10/2939
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Interpretable machine learning framework to predict gout …
(4 days ago) WEBGout prediction is essential for the development of individualized prevention and treatment plans. Our objective was to develop an efficient and interpretable …
https://nutritionandmetabolism.biomedcentral.com/articles/10.1186/s12986-024-00802-2
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Scientific machine learning for predicting plasma concentrations in
(1 days ago) WEBA variety of classical machine learning approaches have been developed over the past ten years with the aim to individualize drug dosages based on measured …
https://www.medrxiv.org/content/10.1101/2024.05.06.24306555v1
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Artificial intelligence and machine learning in precision and …
(3 days ago) WEBMachine Learning is transforming healthcare by guiding individual and population health through a variety of computational benefits. It contributes to …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198206/
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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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Association between breastfeeding duration and diabetes mellitus …
(5 days ago) WEBIn addition, machine-learning prediction models for DM and hemoglobin A1c (HbA1c) were developed to further evaluate this association. We used the Korean …
https://internationalbreastfeedingjournal.biomedcentral.com/articles/10.1186/s13006-024-00642-z
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Uncovering the Hidden Gems of Maricopa Community Colleges
(5 days ago) WEBA Diverse Student Population One of the standout features of Maricopa Community Colleges is its diverse student population. , Business, …
https://www.maricopa.edu/news/2024/uncovering-hidden-gems-maricopa-community-colleges
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Forecasting vaping health risks through neural network model
(Just Now) WEBThe output of this supervised machine learning approach was a dataset of probability ranked pyrolysis transformations and their associated 7307 products.
https://www.nature.com/articles/s41598-024-59619-x
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