A deep-learning neural network model for blood platelet counting with the use of blood glucose, blood type, and other complete blood count parameters and physical properties in human adults

• Main Authors: Mariño, Alyssa Ysabelle, Encisa, Ronald Jeriko Ignacio
• Format: text
• Language: English
• Published: Animo Repository 2022
• Subjects: Neural networks (Computer science); Blood platelets; Physics
• Online Access: https://animorepository.dlsu.edu.ph/etdb_physics/22; https://animorepository.dlsu.edu.ph/context/etdb_physics/article/1013/viewcontent/2022_Encisa_Marino_A_deep_learning_neural_network_model_Full_text.pdf
• Institution: De La Salle University

An Artificial Neural Network (ANN) is a program that can apply to numerous methods of analyzing large amounts of data with the set goal of predicting an output given a set of inputs. In this study, ANN was utilized to examine two data sets, one coming from a training set composed of the Complete Blo...