Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables.
Lourdes Andrea Arriaga-PizanoMarcos Angel Gonzalez-OlveraEduardo Antonio Ferat-OsorioJesica EscobarAna Luisa Hernandez-PerezMaria Cristina Revilla-MonsalveConstatino Lopez-MaciasJosé Israel León-PedrozaGraciela Libier Cabrera-RiveraUriel Guadarrama-ArandaRon LederAna Gabriela Gallardo-HernándezPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- pilot study
- neural network
- ad patients
- fault diagnosis
- medical diagnostic
- clinically relevant
- disease diagnosis
- computer games
- clinical diagnosis
- back propagation
- structural model
- diagnostic process
- medical doctors
- science learning
- heart disease
- high resolution computed tomography
- initial stage
- clinical decision support systems
- differential diagnosis
- traditional chinese medicine
- pilot project
- genetic algorithm
- medical decision making
- cardiovascular disease
- elementary school
- clinical practice
- medical diagnosis
- artificial neural networks
- model based diagnosis
- therapy planning
- neural network is trained
- neural network model
- self organizing maps
- critical care
- bladder cancer