Mortality Predicting Calculators used in ICU
Keywords:
ICU, Predicting Calculators, MortalityAbstract
Diseases are constantly present, like a persistent companion, and their effects serve as a reminder of their presence. We all have to address medical needs in some way or other. Disease can be classified as general illness, severe or chronic disease. General illness needs normal attention though severe or chronic disease needs much attention because critically ill patients have a potential risk of death. It happens that chronic disease may lead to patient admission in ICU.
The stay of the patient into ICU and likelihood of mortality can be predicted in many ways ranging from manual to automated prediction. Manual prediction requires experienced doctors though if supplied with right parameters, the same can be done by system i.e., application-based procedure.
Predicting the likelihood of mortality has been a cornerstone of medical decision-making for centuries. With advancements in healthcare technology and data science, we can now leverage sophisticated models to predict a patient's likelihood of mortality, length of ICU stay and usage of mechanical ventilator with increased accuracy.
Different Medical calculators like SOFA, SAPS, APACHE, MPM, GCS etc. are in use to predict the likelihood of mortality these days. Their accuracy can be calculated before manually and later automatically and now AI-assisted
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