Clustering Health Care Data
Listing Websites about Clustering Health Care Data
Phenotype clustering in health care: A narrative …
(3 days ago) WebClustering-based phenotyping in health care has been performed using routine clinical data, biomarker values, and genomic data, each of which often contain outliers (Eisen et al., 1998; Seymour et al., 2019). If the clustering method is sensitive to outlier values, as …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411746/
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Can cluster analyses of linked healthcare data identify …
(7 days ago) WebThis analysis shows that utilisation-based cluster analysis of linked primary and secondary healthcare use data for a local GP-registered population can segment the population …
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-08930-z
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Clustering Algorithms in Healthcare SpringerLink
(2 days ago) WebIn this chapter, the performance of different clustering algorithm for healthcare data set has been evaluated. The performance of the algorithms has been analysed according to …
https://link.springer.com/chapter/10.1007/978-3-030-67051-1_13
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Cluster Analysis in Nursing Research: An Introduction, …
(3 days ago) WebThe ability to predict and anticipate an individual's future health needs and provide preventive care is invaluable in nursing research. Cluster Validation. Data clustering: …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665711/
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Profiles and predictors of healthcare utilization: using a …
(8 days ago) WebThe identification of typologies of health care users and their specific characteristics can be performed using cluster analysis. This statistical approach aggregates similar users …
https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-021-07426-9
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Identifying and characterizing high-risk clusters in a
(Just Now) WebUsing co-morbidity, clinical examination, and laboratory data from a minimally selected ICU cohort, we compared the performance of different clustering methodologies and applied …
https://www.nature.com/articles/s41598-021-91297-x
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Using machine learning on clinical data to identify …
(Just Now) WebClustering and federated learning have also been combined to predict patient outcomes accurately, in a manner that limits data sharing between healthcare institutions and …
https://www.nature.com/articles/s41598-022-26294-9
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Evaluation and Application of Clustering Algorithms in …
(2 days ago) WebClustering algorithms are proven to be effective in analyzing data and discovering patterns for effective decision making in different domains including finance, marketing, data …
https://link.springer.com/chapter/10.1007/978-981-16-4641-6_21
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Analysis of Clustering Algorithms in Machine Learning for …
(2 days ago) WebClustering algorithm is one of the most popular data analysis technique in machine learning to precisely evaluate the vast number of healthcare data from the body sensor …
https://link.springer.com/chapter/10.1007/978-981-15-6634-9_12
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Using Medical Data and Clustering Techniques for a Smart …
(9 days ago) WebThis study aimed to design a smart healthcare system based on clustering techniques and medical data (SHCM) to analyze potential risks and trends in patients in a given time …
https://www.mdpi.com/2079-9292/13/1/140
Category: Medical Show Health
Medical calculators derived synthetic cohorts: a novel method for
(Just Now) WebSpecifically, clustering methods were recently used in clinical studies of medical entities in which grouping by clinical reasoning was not feasible due to heterogeneity of the data …
https://www.nature.com/articles/s41598-024-61721-z
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What is Clustering in Data Mining? Cluster Types & Importance
(7 days ago) WebUpdated May 7, 2024. For those interested in analytics, data clustering is an important concept that will almost certainly play a significant role in a potential career path. …
https://www.usfhealthonline.com/resources/healthcare-analytics/what-is-clustering-in-data-mining/
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Design of health information management model for elderly care …
(5 days ago) WebIn the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces …
https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0302741
Category: Medicine Show Health
Analysis of Clustering Algorithms in Machine Learning for …
(4 days ago) WebAbstract. Clustering algorithm is one of the most popular data analysis tech-. nique in machine learning to precisely evaluate the vast number of healthcare. data from the …
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Using Clustering Methods to Map the Experience Profiles of …
(7 days ago) WebThe k-means clustering algorithm partitioned a sample of 81 caregivers from the Midwest region of the United States on the basis of eight variables capturing caregiver emotions, …
https://academic.oup.com/innovateage/advance-article/doi/10.1093/geroni/igae046/7676305
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Finding in Data - Wiley Online Library
(9 days ago) WebFor general information on our other products and services please contact our Customer Care Department within the U.S. at 877-762-2974, outside the US. at 317-572-3993 or …
https://onlinelibrary.wiley.com/doi/pdf/10.1002/9780470316801.fmatter
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2016 IEEE International Conference on Healthcare
(2 days ago) WebChicago, Illinois, USA 4-7 October 2016 IEEE Catalog Number: ISBN: CFP1644U-POD 978-1-5090-6118-1 2016 IEEE International Conference on Healthcare
http://toc.proceedings.com/32615webtoc.pdf
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Leveraging data from real-world settings - STAT
(7 days ago) WebPA Consulting, the company I work for, recently conducted a review of clinical data from various sources to identify the number of people seeking care in emergency …
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Competency gap among graduating nursing students: what they …
(2 days ago) WebA cluster sampling technique was employed on 721 final-year nursing students and 365 Iranian nursing faculties. The data were analyzed using descriptive statistics and …
https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-024-05532-w
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Business Analytics for Managers - Wiley Online Library
(9 days ago) WebData-Driven Healthcare: How Analytics and BI are Transforming the Industry by Laura Madsen please contact our Customer Care Department within the United States at …
https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119302490.fmatter
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Impact of mHealth interventions on maternal, newborn, and child …
(3 days ago) WebMobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and …
https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-024-03417-9
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Classification of clustered health care data analysis using …
(Just Now) WebInnovation and adoption of new technologies in health care industries produce vast data every day. The diverse data in health care include clinical data, health history, and …
https://link.springer.com/article/10.1007/s00500-022-07026-7
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Assessing the Value of Unsupervised Clustering in Predicting …
(3 days ago) WebWe performed a retrospective analysis of the Johns Hopkins Health Care (JHHC) insurance claims data captured between 2013 and 2015. JHHC provides health insurance to a …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663459/
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2016 IEEE 14th International Conference on Software
(2 days ago) WebData Mining and Knowledge Recovery 39 Building Thesaurus Lexicon using Dictionary-Based Approach for Sentiment Classification Seongik Park, Yanggon Kim Efficient …
http://toc.proceedings.com/31043webtoc.pdf
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How Children’s Hospitals Approach Change in Patient Care
(9 days ago) WebListen. 00:00. Children’s hospitals are among the health systems leading the charge when it comes to using technological advancements and digital-forward processes to enhance …
https://healthtechmagazine.net/article/2024/05/how-childrens-hospitals-approach-change-patient-care
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Geographical accessibility of medical resources, health status, and
(2 days ago) WebThe World Health Organization (WHO) published the Integrated Care for Older People (ICOPE) framework to help healthcare providers cope with the population aging crisis. …
https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-024-04987-2
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Journal of Medical Internet Research - Public and Research …
(4 days ago) WebBackground: Telemedicine offers a multitude of potential advantages, such as enhanced health care accessibility, cost reduction, and improved patient outcomes. The …
https://www.jmir.org/2024/1/e50088
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High Blood Pressure Facts High Blood Pressure CDC
(6 days ago) WebIn 2021, high blood pressure was a primary or contributing cause of 691,095 deaths in the United States. 2. Nearly half of adults have high blood pressure (48.1%, 119.9 million). …
https://www.cdc.gov/high-blood-pressure/data-research/facts-stats/index.html
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Digital health: a case of mistaken identity - STAT
(1 days ago) WebSadly, health care is at or near the bottom when it comes to providing users with good experiences. advertisement Most people use their phones and devices day and night, …
https://www.statnews.com/2024/05/22/digital-health-companies-medicines/
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Magnitude of neonatal sepsis and its associated factors among …
(4 days ago) WebBackground Neonatal sepsis is one of the most common causes of disease and death among neonates globally. And it made a great contribution to neonatal admission to …
https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-024-06583-z
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Frontiers Phenotype clustering in health care: A narrative review …
(6 days ago) WebClustering-based phenotyping in health care has been performed using routine clinical data, biomarker values, and genomic data, each of which often contain outliers (Eisen et …
https://www.frontiersin.org/articles/10.3389/frai.2022.842306/full
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February cyberattack causes chronic pain for health care industry
(1 days ago) WebDaniel Ackerman May 20, 2024. Heard on: Change Healthcare processes between a third and a half of all medical insurance claims in the U.S. and is still working to get its …
https://www.marketplace.org/2024/05/20/change-healthcare-cyberattack-health-care-providers/
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Damaging hacks expose the weak underbelly of America’s health …
(9 days ago) WebA pair of recent ransomware attacks crippled computer systems at two major American health care firms, disrupting patient care and exposing fundamental weaknesses in the …
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Profiles and predictors of healthcare utilization: using a cluster
(3 days ago) WebHealth care utilization within the cluster was analyzed descriptively, and independent predictors of belonging to the respective clusters were analyzed using logistic regression …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728927/
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Classification of clustered health care data analysis using
(8 days ago) Webhealth care data clustering and classification. Benchmark lung cancer dataset and Arrhythmia dataset are used in the experimentation. The proposed model exhibits the …
https://link.springer.com/content/pdf/10.1007/s00500-022-07026-7.pdf
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Data and Statistics on Sickle Cell Disease
(7 days ago) WebSickle cell disease (SCD) affects about 100,000 people in the United States; more than 90% are non-Hispanic Black or African American, and an estimated 3%–9% are Hispanic or …
https://www.cdc.gov/sickle-cell/data/index.html
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PACT Act Geographic Table (all data since 8/10/22, and as of …
(Just Now) Web(all data since 8/10/22, and as of 5/19/24) US States/Territories . Total PACT Act . Benefits Claims . Received Total PACT Act . Benefits Claims . Granted New VA Health care . …
https://www.whitehouse.gov/wp-content/uploads/2024/05/Embargoed-PACT-Act-Geographic-Impact-Table.pdf
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