Abstract: A training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Abstract: A bracket is provided. The bracket includes a fixing seat and a holding seat. The fixing seat has a first extending direction and includes at least one first contacting end surface, and a first angle is contained between the at least one first contacting end surface and the first extending direction. The holding seat is detachably connected to the fixing seat with a bend angle to form a bend structure, and the holding seat includes at least one second contacting end surface corresponding to the at least one first contacting end surface. The at least one first contacting end surface and the at least one second contacting end surface are located near or at a bend portion of the bend structure.

Abstract: A bracket is provided. The bracket includes a fixing seat and a holding seat. The fixing seat has a first extending direction and includes at least one first contacting end surface, and a first angle is contained between the at least one first contacting end surface and the first extending direction. The holding seat is detachably connected to the fixing seat with a bend angle to form a bend structure, and the holding seat includes at least one second contacting end surface corresponding to the at least one first contacting end surface. The at least one first contacting end surface and the at least one second contacting end surface are located near or at a bend portion of the bend structure.