Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classification

Table 1 Training sample size (from 2016 to 8 datasets) and validation from manually coded samples from 2019 dataset

Reasons	Training sample size	Max F1	AUC	Accuracy	Proportion in 2020	95% confidence interval using bias estimated by bootstrap^a
Main reasons for EMS calls
Chest pain	29,310	0.800	0.987	0.978	0.057	0.0542–0.0598
Gastroenteritis and abdominal pain	63,446	0.710	0.958	0.946	0.082	0.0777–0.0863
Flu-like symptoms and breathing difficulties	72,323	0.683	0.958	0.929	0.151	0.1461–0.1559
Focal neurologic deficit, stroke	5951	0.698	0.978	0.991	0.0135	0.0118–0.0152
Road traffic crash (RTC)	1829	0.799	0.980	0.988	0.0233	0.0214–0.0252
Violence	3158	0.636	0.984	0.991	0.011	0.0092–0.0128
Suicide and self-harm	5904	0.654	0.969	0.988	0.015	0.0131–0.0169
Injury other than violence, self-harm and RTC	120,007	0.694	0.938	0.887	0.166	0.1596–0.1724
Pregnancy and delivery problems	6222	0.804	0.990	0.994	0.013	0.0116–0.0144
Malaise with loss of consciousness	41,468	0.492	0.935	0.958	0.035	0.0313–0.0387
Stress and anxiety	12,198	0.479	0.877	0.956	0.046	0.042–0.05
Other reasons	412,218	0.673	0.785	0.746	0.385	0.3754–0.3946
Alcohol intoxication	8934	0.712	0.982	0.979	0.033	0.0303–0.0357

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