A CNN-LSTM trained on spike protein sequences and clinical metadata reports strong COVID-19 severity predictions, but its evaluation table is internally inconsistent.
Predicting the disease outcome in covid-19 positive patients through machine learning: A retrospective cohort study with brazilian data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
A CNN-LSTM trained on spike protein sequences and clinical metadata reports strong COVID-19 severity predictions, but its evaluation table is internally inconsistent.