An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy.
Mattia ChiariAlfonso Emilio GereviniMatteo OlivatoLuca PutelliNicholas RossettiIvan SerinaPublished in: AIME (2021)
Keyphrases
- recurrent neural networks
- therapy planning
- feed forward
- complex valued
- neural network
- breast cancer
- reservoir computing
- long short term memory
- cancer patients
- recurrent networks
- breast cancer patients
- feedforward neural networks
- outcome prediction
- cascade correlation
- echo state networks
- real time
- early detection
- artificial neural networks
- patient specific
- clinical data
- hebbian learning
- chaotic time series
- kaplan meier
- acute myeloid
- intensive care
- clinical trials
- prostate cancer
- back propagation
- computational intelligence
- semi supervised
- expert systems
- machine learning