How To Predict Health Care Costs
Listing Websites about How To Predict Health Care Costs
Supervised Learning Methods for Predicting …
(3 days ago) WEBIntroduction. The United States’ national health expenditure (NHE) grew 5.8% to $3.2 trillion in 2015 (i.e., $9,990 per person), which accounted for 17.8% of the nation’s gross domestic product (GDP) 1.In seeking to control these unsustainable increases in healthcare costs, …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977561/
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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 health insurance …
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01743-z
Category: Medical Show Health
A machine learning approach to predict healthcare cost …
(Just Now) WEBThis paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method …
https://www.nature.com/articles/s41598-021-91580-x
Category: Cancer Show Health
Use of Data-Driven Methods to Predict Long-term …
(8 days ago) WEBPrior efforts to predict health care spending have generally focused on a single composite value, such as total yearly costs or a threshold-based measure, such as being in the top …
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2771855
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Multivariable prediction models for health care spending …
(5 days ago) WEBBackground With rising cost pressures on health care systems, machine-learning (ML)-based algorithms are increasingly used to predict health care costs. Despite their …
https://diagnprognres.biomedcentral.com/articles/10.1186/s41512-022-00119-9
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Deep learning for prediction of population health costs
(3 days ago) WEBWe compared the deep learning model to three baseline models. (1) The average cost per year in the previous 6 years as prediction for the cost in the evaluation period. (2) The …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812208/
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Exploring the use of machine learning for risk adjustment: …
(5 days ago) WEBAn emerging literature has begun to explore the potential application of machine learning methods to predict health care costs and utilization for risk adjustment purposes [3–6]. …
https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0213258
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Prediction of future healthcare expenses of patients from …
(Just Now) WEBOur objective was to develop deep learning models with chest radiograph data to predict healthcare costs and classify top-50% spenders. 21,872 frontal chest radiographs were …
https://www.nature.com/articles/s41598-022-12551-4
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Estimation and Prediction of Hospitalization and Medical …
(3 days ago) WEBMedical costs are one of the most common recurring expenses in a person's life. Based on different research studies, BMI, ageing, smoking, and other factors are all related to …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906954/
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Building predictive models of healthcare costs with open …
(2 days ago) WEBthat can predict healthcare costs for a wide range of patient demographics and conditions. We present an approach to this problem by prediction of health-care costs," …
https://arxiv.org/pdf/2304.02191
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Algorithmic Prediction of Health-Care Costs Operations Research
(7 days ago) WEBThe key findings are: (a) our data-mining methods provide accurate predictions of medical costs and represent a powerful tool for prediction of health-care costs, (b) the pattern of …
https://pubsonline.informs.org/doi/10.1287/opre.1080.0619
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Prediction of health care expenditure increase: how does
(7 days ago) WEBBackground Rising health care costs are a major public health issue. Thus, accurately predicting future costs and understanding which factors contribute to increases in health …
https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4616-x
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Deep learning for prediction of population health costs - PubMed
(1 days ago) WEBMethods: Here, we developed a deep neural network to predict future cost from health insurance claims records. We applied the deep network and a ridge regression model to …
https://pubmed.ncbi.nlm.nih.gov/35114978/
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Algorithmic Prediction of Health-Care Costs
(4 days ago) WEB2002), and as a basis for predictive modeling of health-care costs (Ash et al. 2000, Farley et al. 2006, Chang and Lai 2005). Numerous studies that predict health-care costs, based …
https://people.csail.mit.edu/gjw/papers/healthcare.pdf
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Multivariable prediction models for health care spending using …
(1 days ago) WEBBackground: With rising cost pressures on health care systems, machine-learning (ML)-based algorithms are increasingly used to predict health care costs. Despite their …
https://pubmed.ncbi.nlm.nih.gov/35321760/
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Predicting Health Care Costs Using Evidence Regression - MDPI
(8 days ago) WEBPeople’s health care cost prediction is nowadays a valuable tool to improve accountability in health care. In this work, we study if an interpretable method can reach the performance …
https://www.mdpi.com/2504-3900/31/1/74
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Predicting Health Care Costs Using Evidence Regression
(5 days ago) WEBpredict health care costs for large groups of people [3, 4]. On the contrary, prediction for an individual. patient has rarely been tackled. Initially, rule-based methods [5
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Predicting Health Care Costs Using Evidence Regression
(8 days ago) WEBIn this work, we extended the evidence regression model (EVREG) proposed by Petit-Renaud and Denœux [7] to be applied to the prediction of health care cost; we called …
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Predicting the Cost of Health Care Services - Johns Hopkins ACG® …
(Just Now) WEBObjective: To compare predictions of next-year health care service costs across 4 tools, including: the Johns Hopkins Adjusted Clinical Groups (ACG), the Elixhauser …
https://www.hopkinsacg.org/document/predicting-the-cost-of-health-care-services/
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Using Information on Clinical Conditions to Predict High-Cost …
(3 days ago) WEBPeople reporting no conditions in Year 1 averaged U.S.$579 in expenditures in Year 2, presumably due to incident conditions or routine medical care. More than 50 percent of …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838159/
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RRAPP Healthcare Algorithms and Racial Bias
(8 days ago) WEBAn algorithm designed to predict health care costs as a proxy for health needs critically underestimates the needs of Black patients, with life-threatening consequences. …
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