2022 3rd International Conference for Emerging Technology (INCET) · 2022 · 24 citations · 4 references
ComputingData ScienceHealth InformaticsHealth InsuranceMachine LearningPredictive AnalyticsHealth Insurance AnalyticsHealth Insurance EconomicsHealthcare Cost AnalysisPredictive Health ModelingRisk ClassificationRisk PredictionHealthcare Cost ForecastingLinear RegressionMachine Learning Cost ForecastingMachine Learning For HealthcareMachine Learning For InsuranceMachine Learning Prediction ModelsMedical Cost AnalysisMedical Cost Management
This paper represents a machine learning-based health insurance prediction system. Recently, many attempts have been made to solve this problem, as after Covid-19 pandemic, health insurance has become one of the most prominent areas of research. We have used the USA's medical cost personal dataset from kaggle, having 1338 entries. Features in the dataset that are used for the prediction of insurance cost include: Age, Gender, BMI, Smoking Habit, number of children etc. We used linear regression and also determined the relation between price and these features. We trained the system using a 70-30 split and achieved an accuracy of 81.3%.
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Non-Iterative Neural-Like Predictor for Solar Energy in Libya
Roman Tkachenko, Hakan Kutucu, Ivan Izonin et al. · 2018 · 19 citations · Full text