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Consider the following Stochastic Score Classification Problem. A doctor is assessing a patient's risk of developing a certain disease, and can perform n tests on the patient. Each test has a binary outcome, positive or negative. A positive result is an indication of risk, and a patient's score is the total number of positive test results. Test results are accurate. The doctor needs to classify the patient into one of B risk classes, depending on the score (e.g., LOW, MEDIUM, and HIGH risk).doi:10.4230/lipics.esa.2018.36 dblp:conf/esa/GkenosisGHK18 fatcat:6dohzmuejfcr7fmazd4hsmd65i