Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data

Autor:	M, Varalakshmi, Lopez, Daphne
Rok vydání:	2023
Předmět:	Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	This paper focuses on studying the impact of climate data and vector larval indices on dengue outbreak. After a comparative study of the various LSTM models, Bidirectional Stacked LSTM network is selected to analyze the time series climate data and health data collected for the state of Tamil Nadu (India), for the period 2014 to 2020. Prediction accuracy of the model is significantly improved by including the mosquito larval index, an indication of VBD control measure. Comment: 6 Pages and submitted to ICAI'22 - The 24th International Conference on Artificial Intelligence
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2306.13456 Zobrazit plný text záznamu View this record from Arxiv