Machine Learning In Population Health
Listing Websites about Machine Learning In Population Health
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 machine learning applications. We hope that our results will help to inform future …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592293/
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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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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 …
(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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Striving for health equity with machine learning - Nature
(Just Now) WEBBig data and machine learning approaches are transformative tools for public and population health, but need ongoing support from insights in algorithmic …
https://www.nature.com/articles/s42256-021-00385-0
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Machine learning in population health: Opportunities and …
(2 days ago) WEBMachine learning (ML) has succeeded in complex tasks by trading experts and programmers for data and nonparametric statistical models. However, the applications …
https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1002702&type=printable
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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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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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[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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Human-in-the-loop machine learning with applications for …
(Just Now) WEBTherefore, as shown in Fig. 4, the basic vision of this work is to develop Human-in-the-loop Compressive Population Health (HCPH), a machine learning …
https://link.springer.com/article/10.1007/s42486-022-00115-4
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Machine learning and algorithmic fairness in public and …
(9 days ago) WEBabstract = "Until now, much of the work on machine learning and health has focused on processes inside the hospital or clinic. However, this represents only a narrow set of …
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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 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 …
(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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[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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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 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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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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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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Machine learning in population health: Opportunities and threats
(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 for hospital readmission prediction in pediatric
(3 days ago) WEBMachine learning approaches, especially XGBoost, can predict potentially avoidable 30-day pediatric hospital readmission into tertiary assistance. If implemented in the …
https://dl.acm.org/doi/abs/10.1016/j.cmpb.2023.107980
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Causal machine learning for predicting treatment outcomes
(Just Now) WEBCausal machine learning (ML) offers flexible, data-driven methods for predicting treatment outcomes including efficacy and toxicity, thereby supporting the …
https://www.nature.com/articles/s41591-024-02902-1
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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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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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Sugarcane Health Monitoring With Satellite Spectroscopy and …
(2 days ago) WEBResearch into large-scale crop monitoring has flourished due to increased accessibility to satellite imagery. This review delves into previously unexplored and …
https://arxiv.org/abs/2404.16844
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A Comprehensive Review on Machine Learning in Healthcare …
(4 days ago) WEBPopulation health management: Machine learning can be used to analyze data from large populations to identify trends and patterns that can inform the …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180678/
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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
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JMIR Cardio - Use of Machine Learning for Early Detection of …
(7 days ago) WEBEmerging research is demonstrating that machine learning (ML) is a promising tool for detecting patients at increased risk for hypertensive disorders during …
https://cardio.jmir.org/2024/1/e53091
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Electronics Free Full-Text State of Health (SOH) Estimation of
(Just Now) WEBAs a core component of new energy vehicles, accurate estimation of the State of Health (SOH) of lithium-ion power batteries is essential. Correctly predicting battery …
https://www.mdpi.com/2079-9292/13/9/1675
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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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