Health Insurance Regression Models

Listing Websites about Health Insurance Regression Models

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Machine Learning-Based Regression Framework to …

(3 days ago) WEBForecasting health insurance premiums is still a topic that has to be researched and addressed in the healthcare business. In this study, the authors trained an ANN-based regression model to predict health insurance premiums. The model was …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265373/

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Machine learning for an explainable cost prediction of …

(7 days ago) WEBBora et al., (2022) proposed an ML-based health insurance price prediction via two regression models; multi-linear regression and random forest. They further …

https://www.sciencedirect.com/science/article/pii/S2666827023000695

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Predict Health Insurance Cost by using Machine Learning …

(2 days ago) WEBRetrieval Number: 100.1/i jitee.C8364011032 1. DOI: 10.35940/ijitee.C83 64. 0110321. Abstract Insurance is a policy that …

https://www.researchgate.net/publication/348559741_Predict_Health_Insurance_Cost_by_using_Machine_Learning_and_DNN_Regression_Models

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Health Insurance Cost Prediction Using Regression …

(4 days ago) WEBIndia's government spends 1.5 percent of its annual GDP on public healthcare, which is significantly less than that of other countries. Global public health spending, on the other …

https://ieeexplore.ieee.org/document/9850653

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Health Insurance Price Predict (Linear Regression) Kaggle

(2 days ago) WEBExplore and run machine learning code with Kaggle Notebooks Using data from Health Insurance dataset. code. New Notebook. table_chart. New Dataset. tenancy. New …

https://www.kaggle.com/code/shubhamptrivedi/health-insurance-price-predict-linear-regression

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Deep learning for prediction of population health costs

(2 days ago) WEBAccurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as …

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01743-z

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Linear and Ensembling Regression Based Health Cost …

(2 days ago) WEBThe health insurance is an important big eye-openers during the emergency need during accidents and disease pandemic situations. >0.05 as 0.14 and does not …

https://link.springer.com/chapter/10.1007/978-981-16-1502-3_49

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Hybrid Regression Model for Medical Insurance Cost …

(5 days ago) WEBAbstract: As the global value of gross insurance premiums continues to rise beyond $5 trillion, we know that the majority of these costs are avoidable. The cost prediction of …

https://ieeexplore.ieee.org/document/9719393/

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Machine Learning-Based Regression Model to Predict …

(5 days ago) WEBCosts of health insurance throughout the globe have increased critically in recent times. The increased trend results in the requirement of quick decision-making while providing …

https://ieeexplore.ieee.org/document/10295226

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Machine Learning-Based Regression Framework to Predict …

(Just Now) WEBPublic Health 2022, 19, x FOR PEER REVIEW. 4 of 16. The authors trained an ANN-based regression model to predict health insurance pre-miums. The model …

https://mdpi-res.com/d_attachment/ijerph/ijerph-19-07898/article_deploy/ijerph-19-07898.pdf?version=1656388957

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Machine Learning-Based Regression Framework to Predict Health …

(1 days ago) WEBInsurance businesses use ML to provide clients with accurate, quick, and efficient health insurance coverage. This research trained and evaluated an artificial …

https://pubmed.ncbi.nlm.nih.gov/35805557/

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Health Insurance Cost Prediction Using Regression Models

(7 days ago) WEB978-1-6654-9602-5/22/$31.00 ©2022 IEEE 168. Health Insurance Cost Prediction Using Regressi on. Models. Abstract: India's government spends 1.5 percent of its annual. …

https://www.researchgate.net/publication/362707157_Health_Insurance_Cost_Prediction_Using_Regression_Models

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Medical Insurance Cost Prediction Using Machine Learning

(2 days ago) WEBFor individual health insurance data, three regression models are tested. The three regression models were developed using health insurance data, and the …

https://link.springer.com/chapter/10.1007/978-981-19-2538-2_27

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Health Insurance Cost Prediction Using Regression Machine …

(5 days ago) WEBThe health insurance system is exploring ways to use predictive modeling to boost their business operations and services. Computer algorithms and Machine Learning (ML) are …

https://www.ijfmr.com/papers/2023/4/17139.pdf

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Linear Regression. Predict Insurance Charges using… by

(1 days ago) WEBSo, considering age, bmi and smoker_yes as input variables, 46 years old person will have to pay 11050.6042276108 insurance charge if we will use Multiple …

https://medium.com/swlh/linear-regression-models-dc81a955bd39

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HEALTH INSURANCE COST PREDICTION USING MACHINE …

(3 days ago) WEBincluding machine learning (ML), to determine insurance premiums. The goal of the study is to predict health insurance costs using ML regression models, specifically multiple …

https://www.irjmets.com/uploadedfiles/paper/issue_2_february_2024/49200/final/fin_irjmets1707496442.pdf

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Health Insurance Cost Prediction Using Regression Models

(6 days ago) WEBA real-time insurance cost price prediction system named ML Health Insurance Prediction System (MLHIPS) using ML algorithms which will aid the insurance companies in the …

https://www.semanticscholar.org/paper/Health-Insurance-Cost-Prediction-Using-Regression-Panda-Purkayastha/360381e1a6f63fee755cfea7c3495669ca2b73a9

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Financial Burden of Health Care in the Privately Insured US …

(3 days ago) WEBWe assessed families’ annual financial medical burden by dividing their total health care spending by their postsubsistence income (income less estimated food …

https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2818898

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Health insurers say they are turning to AI to cut costs, improve

(2 days ago) WEBReprints. Adobe. H ealth insurers are telling shareholders that they are ramping up the use of artificial intelligence and are hiring talent to implement the …

https://www.statnews.com/2024/05/29/health-insurers-artificial-intelligence-ai-use-cases-transparency/

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GSU Library Research Guides: R: Linear Regression

(1 days ago) WEBA linear regression is one type of regression test used to analyze the direct association between a dependent variable that must be continuous and one or …

https://research.library.gsu.edu/c.php?g=972058&p=7685889

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Health Insurance Cost Prediction using Machine Learning IEEE

(4 days ago) WEBThis paper represents a machine learning-based health insurance prediction system. Recently, many attempts have been made to solve this problem, as after Covid-19 …

https://ieeexplore.ieee.org/document/9824201

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371-2008: Count Data Models in SAS® - SAS Support

(8 days ago) WEBWhile Negative binomial regression is able to model count data with over-dispersion, both Hurdle (Mullahy, 1986) and Zero-inflated (Lambert, 1992) regressions address the

https://support.sas.com/resources/papers/proceedings/pdfs/sgf2008/371-2008.pdf

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Development and validation of early prediction models for new …

(Just Now) WEBAmong the four models evaluated, the SVM model demonstrated the best performance, with an AUC of 0.909, accuracy of 0.838, sensitivity of 0.902, specificity of …

https://www.nature.com/articles/s41598-024-62447-8

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Senators See Possible Conflicts of Interest in Health Care Pricing

(9 days ago) WEBThe agency, the primary regulator of employer-based health insurance, stressed in a statement that companies were legally obligated to ensure the firms …

https://www.nytimes.com/2024/05/28/us/senate-multiplan-health-care-pricing.html

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What You Need to Know About 1332 Waivers & Georgia’s …

(1 days ago) WEBSection 1332 waivers. Section 1332 of the Affordable Care Act (ACA) allows states to experiment with alternative models of providing coverage to state residents. While …

https://healthyfuturega.org/wp-content/uploads/2019/02/1332Waiver_factsheet_legislators.pdf

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Machine Learning-Based Regression Framework to Predict Health …

(1 days ago) WEBForecasting health insurance premiums is still a topic that has to be researched and addressed in the healthcare business. In this study, the authors trained …

https://www.mdpi.com/1660-4601/19/13/7898

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Home - HIPnation

(2 days ago) WEBF.C. “Very pleased with HIPnation. Doctor and staff were thorough, informative, friendly and with almost no wait time. Always responsive to questions, phone calls, texts, and helping …

https://hipnation.com/

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Predictive models for delay in medical decision - BMC Public …

(7 days ago) WEBObjective To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and …

https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18855-6

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Association between social determinants of health and time to …

(8 days ago) WEB1583 Background: Delayed access to costly anti-myeloma agents due to insurance precertification process or out-of-pocket costs results in treatment initiation …

https://ascopubs.org/doi/10.1200/JCO.2024.42.16_suppl.1583

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A Research Paradigm of Weather Index Insurance for Grassland …

(8 days ago) WEBHowever, traditional regression methods, such as OLS, may exhibit “self-selection” behavior in the test of the effect of WIMS on herders’ income. (For instance, …

https://journals.sagepub.com/doi/10.1177/21582440241255214

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Assessing efficiency maternal and child health services in Morocco

(Just Now) WEBIn the second stage, Tobit regression revealed that Model 2 was more significant than Model 1. Specifically, the explanatory variable Rural Dispensary …

https://link.springer.com/article/10.1007/s11135-024-01893-y

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A Research Paradigm of Weather Index Insurance for Grassland …

(2 days ago) WEBWe have applied the OLS, PSM, and quantile regression models using field survey data from 261 herders in Xilin Gol, Inner Mongolia Autonomous Region for our …

https://journals.sagepub.com/doi/abs/10.1177/21582440241255214

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