This research aimed to develop a new algorithm for triage and priontlsation for chronic heart  disease patients in telemedicine environmental to aid decision-makers. In this study, the secondary  data from 500 patients with chronic heart disease was derived from the most relevant remote triage  and prioritisation studies and were evaluated  in  terms  of  their  emergency  levels  based  on   four  main  sensor measurements: electrocardiogram (ECG), oxygen saturation (SpO2), blood pressure  (BP), and text sensor. In this study, the patients were triaged as emergency patients and separated  into five categories, which are risk, urgent, sick, cold state, and normal. Then, the patients were  prioritised through the rank and order of the patients according to their emergency status.  Subsequently, the patients were triaged using evidence theory that refers to four features of the  ECG sensor, BP sensor, SpO2 sensor, and text sensor to determine the emergency le.....

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