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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Big data, machine learning, and population health: …
(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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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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Predicting population health with machine learning: a …
(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 …
(Just Now) WebThough technical advance of artificial intelligence and machine learning has enabled many promising intelligent systems, many computing tasks are still not able to …
https://link.springer.com/article/10.1007/s42486-022-00115-4
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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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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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Machine learning in population health: Opportunities and …
(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 and algorithmic fairness in public …
(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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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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[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 mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individuals, but communities as a whole. We present here a very …
https://arxiv.org/abs/2008.07278
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Using machine learning for healthcare challenges and …
(7 days ago) WebUse of machine learning in Public Health. Population-level healthcare outcomes can be predicted by ML algorithms using large data sets [42]. ML algorithms …
https://www.sciencedirect.com/science/article/pii/S2352914822000739
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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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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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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 (broadly) and list example studies below. Identify. Disease incidence at population level. Bhatt, Samir, et al. "The global distribution and burden of dengue." Nature 496.7446 (2013): …
https://chunaralab.github.io/MLPH/
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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 …
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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 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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Machine Learning: A boon for Medical Appliances - IEEE Xplore
(6 days ago) WebThe growing population and the paramount importance of health in society have underscored the need to manage and analyze extensive patient data. Healthcare is …
https://ieeexplore.ieee.org/document/10503487/
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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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Kaiser adds AI solution through partnership with Innovaccer
(9 days ago) WebInnovaccer’s artificial intelligence platform and population health management solutions will begin to be rolled out this summer to the health system's 650,000 members …
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Ensemble learning-based structural health monitoring of a
(Just Now) WebDue to the increase in population, urbanisation, transportation development, and the aging of existing bridges, there is a growing need for new and rapid structural …
https://link.springer.com/article/10.1007/s13349-024-00789-7
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[2405.01488] Digital Twin Generators for Disease Modeling
(2 days ago) WebA patient's digital twin is a computational model that describes the evolution of their health over time. Digital twins have the potential to revolutionize medicine by …
https://arxiv.org/abs/2405.01488
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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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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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Technology as a Tool for Improving Patient Safety PSNet
(5 days ago) WebArtificial Intelligence and Machine Learning In recent years, one of the largest areas of burgeoning technology in healthcare has been artificial intelligence (AI) …
https://psnet.ahrq.gov/perspective/technology-tool-improving-patient-safety
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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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Machine Learning Uses Health Records to ID Undiagnosed …
(9 days ago) WebA machine learning tool called PheNet (based on the word phenotype) was developed to learn the traits and characteristics, or phenotypes of patients who have …
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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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Bucknell's Lower Co-authors Study Finding Climate Change's …
(2 days ago) WebNow a team of researchers — including Bucknell University Professor Sarah Lower, biology— have analyzed data from the citizen science program Firefly Watch and …
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Survey of livestock monitoring and management system using a …
(4 days ago) WebHealth of Livestock is one of the growing concerns in today’s world due to the increased population and the increased need for Dairy products. So, a regula we use …
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Conceiving Naturally After IVF: the effect of assisted reproduction …
(2 days ago) WebA growing share of the world's population is being born via assisted reproductive technology (ART), including in-vitro fertilisation (IVF). However, two concerns persist. …
https://ui.adsabs.harvard.edu/abs/2024arXiv240500234M/abstract
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