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Asthma affects over 330 million people worldwide. Timing of an asthma event is extremely important and lack of identification of asthma increases the risk of death. A major challenge for health systems is the length of time between symptom onset and care seeking, which could result in delayed treatment initiation and worsening of symptoms. This study evaluates the utility of the internet search query data for the identification of the onset of asthma symptoms. Pearson correlation coefficients between the time series of hospital admission

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7%) had stage IV disease. When the CCI, IPI and ECOG scores were compared with the mortality status of the patients as a reference, AUCs were resulted as 0.628 (95% CI 0.506-0.749), 0.563 (95% CI 0.484-0.639) and 0.672 (95% CI 0.596-0.743), respectively. There was no significant difference between the ROC curves of CCI, IPI and ECOG scores. Patients with a CCI score of ≥ 4 had shorter OS comperad to those with a score of  4. Rather than claiming that CCI is superior to IPI, ECOG or another scoring system in a single-center patient