Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan Ohashi Y, Ihara T, Oka K, Takane Y, Kikegawa Y2023
Machine learning modeling of aedes albopictus habitat suitability in the 21st century Georgiades P, Proestos Y, Lelieveld J, Erguler K2023
Looking up and going down: Does sustainable adaptation to climate change ensure dietary diversity and food security among rural communities or vice versa? Ul Haq S, Shahbaz P, Abbas A, Alotaibi BA, Nadeem N, Nayak RK2023
Machine learning prediction of climate-induced disaster injuries Haggag M, Rezk E, El-Dakhakhni W2023
Low ambient temperature and temperature drop as novel risk factors of acute glaucoma: A case-crossover study Zhu Y, Li L, Han B, Sun X, Chen R, Lei Y, Kan H2023
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic Qasrawi R, Hoteit M, Tayyem R, Bookari K, Al Sabbah H, Kamel I, Dashti S, Allehdan S, Bawadi H, Waly M, Ibrahim MO, Regional CCSG, Polo SV, Al-Halawa DA2023
Main challenges of incorporating environmental impacts in the economic evaluation of health technology assessment: A scoping review Guirado-Fuentes C, Abt-Sacks A, Trujillo-Martín MDM, García-Pérez L, Rodríguez-Rodríguez L, Carrion IRC, Serrano-Aguilar P2023
Machine learning prediction model of tuberculosis incidence based on meteorological factors and air pollutants Tang N, Yuan M, Chen Z, Ma J, Sun R, Yang Y, He Q, Guo X, Hu S, Zhou J2023
Making a case for centring energy poverty in social policy in light of the climate emergency: A global integrative review Stojilovska A, Thomson H, Mejia-Montero A2023
Machine and deep learning for modelling heat-health relationships Boudreault J, Campagna C, Chebana F2023
