BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data.
Tawsifur RahmanMuhammad Enamul Hoque ChowdhuryAmith KhandakarZaid Bin MahbubMd Sakib Abrar HossainAbraham AlhatouEynas AbdallaSreekumar MuthiyalKhandaker Farzana IslamSaad Bin Abul KashemMuhammad Salman KhanSusu M. ZughaierMuhammad Maqsud HossainPublished in: Neural Comput. Appl. (2023)
Keyphrases
- clinical data
- x ray images
- clinical data sets
- patient outcomes
- medical data
- medical images
- machine learning
- x ray
- patient data
- acute myocardial infarction
- statistical analysis
- clinical information
- knowledge discovery
- raw data
- mr images
- intensive care unit
- single view
- ct and mr images
- domain experts
- emergency department
- cancer patients
- patient records
- chest radiographs
- lung nodules
- data mining
- real patient data
- electronic medical record
- intensive care
- medical knowledge
- liver disease
- fracture detection
- medical records
- risk factors
- medical imaging
- clinical decision making
- survival analysis
- imaging modalities
- high risk
- early detection
- medical treatment
- knowledge acquisition
- domain knowledge
- data analysis
- databases