Healthcare Cost Prediction Model
Listing Websites about Healthcare Cost Prediction Model
Supervised Learning Methods for Predicting Healthcare Costs: …
(3 days ago) WEBCost prediction using cost predictors (cost on cost prediction). Bertsimas et al. 6 provided one of the first evaluations in the area of health cost prediction using supervised learning techniques. They used a combination of medical, demographic and …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977561/
Category: Medical Show Health
Machine-learning-based prediction models for high-need high …
(Just Now) WEBThe Lasso regression model had the highest prediction performance (c-statistics, 0.86; 95%CI, 0.84–0.88) for predicting those who account for the top 1% of …
https://www.nature.com/articles/s41746-020-00354-8
Category: Health Show Health
Machine learning for an explainable cost prediction of medical
(7 days ago) WEBIn the end, SGB had the highest accuracy at 86 % with an RMSE of 0.340. Medical insurance research has more recently focused on developing models to …
https://www.sciencedirect.com/science/article/pii/S2666827023000695
Category: Medical Show Health
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
Category: Medical Show Health
Multivariable prediction models for health care spending using …
(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. …
https://diagnprognres.biomedcentral.com/articles/10.1186/s41512-022-00119-9
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Prediction Models for Future High-Need High-Cost Healthcare …
(Just Now) WEBBackground In an effort to improve both quality of care and cost-effectiveness, various care-management programmes have been developed for high …
https://link.springer.com/article/10.1007/s11606-021-07333-z
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A cost-aware framework for the development of AI models for …
(Just Now) WEBOur first cost-aware prediction task involves acute traumatic coagulopathy (ATC) in our trauma dataset—14,000 emergency room visits and 46 features from the …
https://www.nature.com/articles/s41551-022-00872-8
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Building predictive models of healthcare costs with open …
(2 days ago) WEBdeveloping a predictive model using machine-learning techniques. We analyzed de-identified patient data from New York State SPARCS (statewide planning Medicaid …
https://arxiv.org/pdf/2304.02191
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Mathematics Free Full-Text Healthcare Cost Prediction Based on
(1 days ago) WEBThe workflow block diagram of the proposed prediction model is shown in Figure 1. In healthcare cost prediction, BPnet first learns the feature information of …
https://www.mdpi.com/2227-7390/11/23/4778
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[2304.02191] Building predictive models of healthcare costs with …
(2 days ago) WEBWe analyzed de-identified patient data from New York State SPARCS (statewide planning and research cooperative system), consisting of 2.3 million records …
https://arxiv.org/abs/2304.02191
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An Innovative Deep Learning Framework for Healthcare Cost …
(6 days ago) WEBOur technique can accurately model the heterogeneous data, which includes patient demographics. These findings contribute to improved preventative and corrective care in …
https://ieeexplore.ieee.org/document/10083524/
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Predicting Health Care Costs Using Evidence Regression
(8 days ago) WEBmodel outperforms the ANN and GB models in the health care cost prediction with an R2 of 0.44. 2. Related Work 2.1. Health Care Cost Prediction …
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Machine learning versus regression modelling in predicting
(Just Now) WEBBackground Innovative provider payment methods that avoid adverse selection and reward performance require accurate prediction of healthcare costs …
https://link.springer.com/article/10.1007/s10198-021-01363-4
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Population Cost Prediction on Public Healthcare Datasets
(8 days ago) WEBAverage Baseline: For this baseline model, we cal-culate the mean μ of all the individuals’ cost within the training set for the training period. The mean (μ) is then multiplied by a …
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Prediction of future healthcare expenses of patients from chest
(Just Now) WEBModel performances were measured with area under the receiver operating characteristic curve (ROC-AUC) for classification of top-50% spenders and Spearman ρ …
https://www.nature.com/articles/s41598-022-12551-4
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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 …
https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4616-x
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Healthcare predictive analytics using machine learning and deep
(6 days ago) WEBHealthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of intelligent systems …
https://jesit.springeropen.com/articles/10.1186/s43067-023-00108-y
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Clinical and health care utilization variables can predict 90-day
(8 days ago) WEBBackground Hospital re-admission for persons with Crohn’s disease (CD) is a significant contributor to morbidity and healthcare costs. We derived prediction …
https://bmcgastroenterol.biomedcentral.com/articles/10.1186/s12876-024-03226-7
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Guidelines and quality criteria for artificial intelligence-based
(Just Now) WEBDiagnostic prediction models make predictions about the current health status of a patient, whereas prognostic prediction models estimate the probability of a …
https://www.nature.com/articles/s41746-021-00549-7
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Machines Free Full-Text A Remaining Useful Life Prediction …
(9 days ago) WEBIn industry, forecast prediction and health management (PHM) is used to improve system reliability and efficiency. In PHM, remaining useful life (RUL) prediction …
https://www.mdpi.com/2075-1702/12/5/342
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A novel machine-learning based prediction model for ship …
(2 days ago) WEBBy utilising MATLAB Machine Learning Toolbox, a manoeuvring emission footprint prediction model is developed for the pilots with a consistency of 73%. The proposed …
https://ui.adsabs.harvard.edu/abs/2024OcEng.29116411S/abstract
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