Tian Bao Yang, Xiu Jing Lin, Jia Ling Lin, Wei-Ti Chen, Fei Fei Huang
Influencing factors of cancer prevention and control among urban and rural adults in Fujian, China: A cross-sectional survey
Frontiers in public health
paper propose novel pricing model delivery insurance food delivery company latin america aim reducing high costs associated premium paid insurer achieve goal thorough analysis conducted estimate probability losses based delivery routes transportation modes delivery drivers profiles large amount data collected used database various statistical models machine learning techniques employed construct comprehensive risk profile perform risk classification based risk classification estimated probability associated new pricing model delivery insurance developed using advanced mathematical algorithms machine learning techniques new pricing model took account pattern loss occurrence high lowrisk behaviors resulting significant reduction insurance costs contracting company insurer proposed pricing model also allowed greater flexibility insurance contracting making accessible appealing delivery drivers use estimated loss probabilities risk score pricing delivery insurance proved highly effective efficient alternative reducing high costs associated insurance also improving profitability competitiveness food delivery company latin america