TY - GEN 
AU - Tuta-Quintero E.
AU - Botero-Rosas D.
AU - Bastidas-Goyes A.
AU - Leon-Ariza J.
AU - Guerrero A.
AU - Agudelo M.
AU - Valenzuela N.
PY - 2024
UR - http://hdl.handle.net/10818/63364
AB - Introduction: This study aims to develop a neural network (NN) that can serve as a useful tool for early diagnosis of complicated malaria. Materials and methods: In this study, a feedforward NN was developed, incorporating 10 clinical variables in the...
LA - eng
PB - Infectio
KW - Artificial intelligence
KW - Diagnosis
KW - Malaria
TI - Application of artificial intelligence in the Prediction of Complications in patients with Malaria
DO - 10.22354/24223794.1201
ER -