System comprising a calculator for the generation of a list of probabilities (LlST 1) associated with a list of diseases for a first patient (P 1), said system comprising an interface enabling: ▪ a first acquisition (ACQ 1) of a first set (ENS 1) of first factors (F 1) relative to the first patient (P 1) and storing said first factors (F 1) in a memory, said first factors (F 1) comprising: ∘ an age value (AGE 1), ∘ a gender value (GEN 1); ▪ a second acquisition (ACQ 2) of a second set (ENS 2) of second factors (F 2), notably describing at least one disease (ANT 1) or information specific to said patient (P 1) and storing said second factors (F 2) in a memory, said disease (ANT 1) being extracted from a first database (BD M), each disease (ANT 1) being associated with a first prevalence statistic (PR 1) and/or a first incidence statistic (IN 1), and each disease being associated with a list of signs (S k), at least one sign corresponding to a symptom of a disease; ▪ a third acquisition (ACQ 3) of a third set (ENS 3) of third factors (F 3) describing at least one sign (S 1) and storing said third factors (F 3) in a memory of the system, said first sign (S 1) comprising a first sensitivity statistic (SEi) and a second specificity statistic (SPi) for each disease of a predefined list (LlST 1) of diseases (Mi) associated with said sign (S 1); sensitivity being modeled according to a scale of predefined values, each predefined value corresponding to a value of a sign sensitivity statistic for a given disease, specificity being modeled according to a scale of predefined values, each predefined value of the scale corresponding to a value of a sign specificity statistic for a given disease; said calculator generating, from a first modelling of a Bayesian network and input data comprising the data of the first, second and third acquisitions (ACQ 1, ACQ 2, ACQ 3), a set of probabilities, each probability being associated with a given disease of the first list (LIST 1); said system comprising a graphic interface for displaying said first generated list (LIST 1). ▪ a first acquisition (ACQ 1) of a first set (ENS 1) of first factors (F 1) relative to the first patient (P 1) and storing said first factors (F 1) in a memory, said first factors (F 1) comprising: ∘ an age value (AGE 1), ∘ a gender value (GEN 1); ∘ an age value (AGE 1), ∘ a gender value (GEN 1); ▪ a second acquisition (ACQ 2) of a second set (ENS 2) of second factors (F 2), notably describing at least one disease (ANT 1) or information specific to said patient (P 1) and storing said second factors (F 2) in a memory, said disease (ANT 1) being extracted from a first database (BD M), each disease (ANT 1) being associated with a first prevalence statistic (PR 1) and/or a first incidence statistic (IN 1), and each disease being associated with a list of signs (S k), at least one sign corresponding to a symptom of a disease; ▪ a third acquisition (ACQ 3) of a third set (ENS 3) of third factors (F 3) describing at least one sign (S 1) and storing said third factors (F 3) in a memory of the system, said first sign (S 1) comprising a first sensitivity statistic (SEi) and a second specificity statistic (SPi) for each disease of a predefined list (LlST 1) of diseases (Mi) associated with said sign (S 1); sensitivity being modeled according to a scale of predefined values, each predefined value corresponding to a value of a sign sensitivity statistic for a given disease, specificity being modeled according to a scale of predefined values, each predefined value of the scale corresponding to a value of a sign specificity statistic for a given disease; said calculator generating, from a first modelling of a Bayesian network and input data comprising the data of the first, second and third acquisitions (ACQ 1, ACQ 2, ACQ 3), a set of probabilities, each probability being associated with a given disease of the first list (LIST 1); said system comprising a graphic interface for displaying said first generated list (LIST 1).