Method of detecting in a biological sample, in particular a blood sample, the presence of an inhibitor of a blood coagulation enzyme selected, independently, from factor Xa (FXa) and factor IIa (FIIa), the method comprising the following steps: a. Measurement of one or more competition kinetics by performing a competitive enzymatic assay on a blood sample previously obtained from a subject, said assay being adapted to perform competitive kinetics with respect to either a factor Xa inhibitor or a factor IIa inhibitor, and then b. Input of one or more kinetics obtained in step a. to a classification decision model A obtained by training a supervised automatic learning model, for example a model chosen from one of the following families: support vector machine, neural networks, decision trees, ensemble methods, and k nearest neighbours model, then b.i. If the decision model A excludes the presence of an inhibitor of the targeted blood coagulation enzyme in the sample analysed, conclusion of the absence of said inhibitor, optionally allocation as output by the model A, for example in a variable, of the corresponding information, or b.ii. If the decision model A attests to the presence of an inhibitor of the targeted blood coagulation enzyme in the sample analysed, conclusion of the presence of said inhibitor, optionally allocation as output by the model A, for example in a variable, of the corresponding information. a. Measurement of one or more competition kinetics by performing a competitive enzymatic assay on a blood sample previously obtained from a subject, said assay being adapted to perform competitive kinetics with respect to either a factor Xa inhibitor or a factor IIa inhibitor, and then b. Input of one or more kinetics obtained in step a. to a classification decision model A obtained by training a supervised automatic learning model, for example a model chosen from one of the following families: support vector machine, neural networks, decision trees, ensemble methods, and k nearest neighbours model, then b.i. If the decision model A excludes the presence of an inhibitor of the targeted blood coagulation enzyme in the sample analysed, conclusion of the absence of said inhibitor, optionally allocation as output by the model A, for example in a variable, of the corresponding information, or b.ii. If the decision model A attests to the presence of an inhibitor of the targeted blood coagulation enzyme in the sample analysed, conclusion of the presence of said inhibitor, optionally allocation as output by the model A, for example in a variable, of the corresponding information. b.i. If the decision model A excludes the presence of an inhibitor of the targeted blood coagulation enzyme in the sample analysed, conclusion of the absence of said inhibitor, optionally allocation as output by the model A, for example in a variable, of the corresponding information, or b.ii. If the decision model A attests to the presence of an inhibitor of the targeted blood coagulation enzyme in the sample analysed, conclusion of the presence of said inhibitor, optionally allocation as output by the model A, for example in a variable, of the corresponding information.