Fig. 1 | Scientific Reports

Fig. 1

From: Machine learning model for early prediction of acute kidney injury in heatstroke patients based on the first 24 h hospitalization data

Fig. 1

Flowchart of patient enrollment and group allocation. A total of 511 patients were enrolled from 55 hospitals between 2008 and 2024. After excluding 97 patients under 18 years old, 89 patients with pre-existing comorbidities prior to heatstroke onset, and 35 patients with more than 30% missing data, 290 patients were included in the study. These included patients were further divided into two groups: CHS and EHS.

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