Paper Key : IRJ************390
Author: Sanika Dhawale,Manasi Pawar,Nikita Gunjal
Date Published: 11 Nov 2024
Abstract
Sepsis is a potentially fatal medical disorder that needs to be identified and treated right away to avoid fatalities.Itmust be quickly identified and treated in order to stop it from developing into severe sepsis, septic shock, andmultiorgan failure. Sepsis remains a significant problem for doctors despite advancements in medical technology andtreatment methods.The beginning of the disease has been successfully predicted by machine learning models in recentyears, but due to their black-box character, it is challenging to interpret these predictions and comprehend theunderlying illness mechanisms. In this research, we propose a comprehensible AI method for sepsis analysis thatcombines machine learning with clinical knowledge and expertise in the domain. Our method allows clinicians tounderstand and verify the models predictions based on clinical expertise and preexisting beliefs,in addition toproviding precise predictions of the onset of sepsis.
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