Abstract: A pressure sensor has a stem in which a pressure introduction hole into which a pressure medium is introduced and a diaphragm deformable according to the pressure of the pressure medium are formed, and a strain detecting element which is arranged on the diaphragm via an insulating film and being configured to output a detection signal according to the deformation of the diaphragm. The strain detecting element is configured to have a portion made of polysilicon. A low doping layer having a higher electrical resistivity than polysilicon and a higher crystallinity than the insulating film is arranged between the insulating film and the strain detecting element.

Abstract: A selection unit (11) in a learning device (10) inputs a plurality of “learning candidate data units.” The plurality of learning candidate data units are respectively related to a plurality of subjects including a plurality of cancer patients and a plurality of non-cancer patients. Further, each learning candidate data unit at least includes a “urine odor data unit” and a “cancer label.” Then, from the plurality of input learning candidate data units, the selection unit (11) selects part of the plurality of learning candidate data units as a “learning target data set,” based on a “selection rule.” By using the learning target data set selected by the selection unit (11), a determination model formation unit (12) forms a “determination model” for determining which of urine of a cancer patient and urine of a non-cancer patient a determination target urine odor data unit is related to.