Automated System for Decision Making During the Diagnostic Process @ Healthcare, Customer Service


One medical service provider felt its disease diagnostic process was unsatisfactory: doctors were spending time on a basic and repetitive diagnostic process, filling long and tedious patient questionnaires.


Alphamoon team approached the issue with a probabilistic model with conditional dependencies (Bayesian networks). It let them create an automated system for decision making during the diagnostic process. The system improved the user experience for the patient because of a low amount of questions and reduced time spent on initial information gathering.



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