Population Health Machine Learning

Listing Websites about Population Health Machine Learning

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Machine learning and algorithmic fairness in …

(Just Now) WEBAlgorithmic solutions to improve treatment are starting to transform health care. Mhasawade and colleagues discuss in this Perspective how machine learning …

https://www.nature.com/articles/s42256-021-00373-4

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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, infrequently using big …

https://pubmed.ncbi.nlm.nih.gov/33109649/

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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 health …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323781/

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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 applications …

https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002702

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Open access Original research Predicting population …

(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 …

(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 2018 Nov. …

https://pubmed.ncbi.nlm.nih.gov/30481173/

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A Comprehensive Review on Machine Learning in …

(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 development of …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180678/

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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 …

https://nyuscholars.nyu.edu/en/publications/machine-learning-and-algorithmic-fairness-in-public-and-populatio

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A population health perspective on artificial intelligence

(1 days ago) WEBPopulation Health*. Public Health. The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public's health. Yet, to make the most of this …

https://pubmed.ncbi.nlm.nih.gov/31106580/

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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 data, and …

https://www.semanticscholar.org/paper/Predicting-population-health-with-machine-learning%3A-Morgenstern-Buajitti/38361c838cd8e99f4d9fe4305d104eba97e50769

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Population modeling with machine learning can enhance …

(6 days ago) WEBPopulation modeling with machine learning can derive measures of mental health from heterogeneous inputs including brain signals and questionnaire data. This may …

https://academic.oup.com/gigascience/article/10/10/giab071/6396189

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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) 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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Machine Learning and Feature Selection for Population Health

(2 days ago) WEBenough to build machine learning models. AI insights are needed to build the simplest machine learning models possible, and the models need to be understood and trusted …

https://www.healthcatalyst.com/wp-content/uploads/2021/05/Machine-Learning-and-Feature-Selection-for-Population-Health.pdf

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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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Prediction of disease comorbidity using explainable artificial

(7 days ago) WEB1.Introduction. Disease comorbidity occurs when an individual experiences two or more illnesses simultaneously, which can include physical and/or mental medical conditions …

https://www.sciencedirect.com/science/article/pii/S1386505623001065

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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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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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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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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 condition affecting …

https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18759-5

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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 applications …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258474/

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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 machine learning …

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 plasma …

https://www.medrxiv.org/content/10.1101/2024.05.06.24306555v1

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Is demography destiny? Application of machine learning

(1 days ago) WEBApplication of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset PLoS One. 2015 May 4;10(5): …

https://pubmed.ncbi.nlm.nih.gov/25938675/

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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 National Health and …

https://internationalbreastfeedingjournal.biomedcentral.com/articles/10.1186/s13006-024-00642-z

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