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Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction

机译：识别登革热爆发预测中的显着气候风险因素和机器学习模型

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Felestin Yavari Nejad; Kasturi Dewi Varathan;
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1. Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction [J] . Felestin Yavari Nejad, Kasturi Dewi Varathan BMC Medical Informatics and Decision Making . 2021,第1期

机译：识别登革热爆发预测中的显着气候风险因素和机器学习模型
2. Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning [J] . Sumiko Anno, Takeshi Hara, Hiroki Kai, Geospatial Health . 2019,第2期

机译：台湾与气候因素相关的时空登革热热点，包括基于机器学习的爆发预测
3. Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach [J] . Lindberg David S., Prosperi Mattia, Bjarnadottir Ragnhildur I., International journal of medical informatics . 2020,第Nova期

机译：识别住院病风险预测模型中的重要因素，以提高使用EHR和电子行政数据的照顾质量：一种机器学习方法
4. Detect Climatic Factors Contributing to Dengue Outbreak based on Wavelet, Support Vector Machines and Genetic Algorithm [C] . Yan WU, Gary LEE, Xiuju FU, World Congress on Engineering . 2008

机译：检测基于小波，支持向量机和遗传算法的登革热爆发有助于登革热爆发的气候因素
5. Applying Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Stoprun Behavior Modeling, and Autonomous Vehicle Control at Intersections [D] . Elhenawy, Mohammed Mamdouh Zakaria. 2015

机译：将机器和统计学习技术应用于智能交通系统：瓶颈识别和预测，动态行驶时间预测，驾驶员停车行为模型以及交叉口的自主车辆控制
6. Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction [O] . Felestin Yavari Nejad, Kasturi Dewi Varathan 2021

机译：识别登革热爆发预测中的显着气候风险因素和机器学习模型
7. Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction [O] . Felestin Yavari Nejad, Kasturi Dewi Varathan 2020

机译：识别登革热爆发预测中的显着气候风险因素和机器学习模型

Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction

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