Automated triage supporting system with a decision tree algorithm and survival function

Abstract

Events with a large number of casualties are an element inherent in activities on the battlefield.The difference in the triage used on the battlefield in relation to the triage used in the case of masscivil accidents results directly from the specificity of the event and the assumed goals. During armedconflicts, the priority is to achieve the tasks and goals set. From the point of view of the command, themission to rescue the casualties takes place largely, so that they can be restored to further operationsas soon as possible the priority on the battlefield is to complete the mission, not to rescue all thewounded. During armed conflicts, forces and resources will always be limited, and the evacuationof the victims will have to be carried out in several stages or will be extended in time. Rescuers oftenhave to deal with prolonged care on the battlefield and they are forced to deal with the wounded muchlonger than during mass civilian incidents. The implementation of new technological solutions thatminimise potential human error, collect and automatically analyse medical data in real time, willenable us especially in the theater of war faster identification of the condition of the injured andsetting priorities. Nowadays, when war takes a completely different form, solutions should be soughtthat will give the wounded a chance to survive. The priority in the case of MASC AL events is thequickest possible assessment of vital parameters that allow for targeted assistance, which are intendedto reduce the mortality rate of the victims, give a chance to get specialist help. The use of artificialintelligence will make it possible to optimise the activities of rescuers already at the stage of reachingthe scene of the event. The article presents an innovative segregation algorithm that takes into accountthe value of the so-called function of survival chances, which is an element of the medical evacuationdecision support system, based on the integration of monitoring and analysis of soldiers vital signswith the medical security system.Keywords: vital signs, triage, support vector machine