COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.
Isaac ShiriYazdan SalimiMasoumeh PakbinGhasem HajianfarAtlas Haddadi AvvalAmirhossein SanaatShayan MostafaeiAzadeh AkhavanallafAbdollah SaberiZahra MansouriDariush AskariMohammadreza GhasemianEhsan SharifipourSaleh SandoughdaranAhmad SohrabiElham SadatiSomayeh LivaniPooya IranpourShahriar KolahiMaziar KhateriSalar BijariMohammad Reza AtashzarSajad P. ShayestehBardia KhosraviMohammadreza BabaeiElnaz JenabiMohammad HasanianAlireza ShahhamzehSeyaed Yaser Foroghi GhomiAbolfazl MozafariArash TeimouriFatemeh MovaseghiAzin AhmariNeda GoharpeyRama BozorgmehrHesamaddin Shirzad-AskiRoozbeh MortazaviJalal KarimiNazanin MortazaviSima BesharatMandana AfsharpadHamid AbdollahiParham GeramifarAmir Reza RadmardHossein ArabiKiara Rezaei-KalantariMehrdad OveisiArman RahmimHabib ZaidiPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- machine learning algorithms
- input features
- machine learning
- machine learning models
- learning algorithm
- machine learning methods
- benchmark data sets
- decision trees
- machine learning approaches
- learning problems
- predictive accuracy
- clinical data
- learning models
- feature set
- data mining
- random forests
- benchmark datasets
- learning tasks
- x ray
- classification accuracy
- feature vectors
- data sets
- domain specific
- active learning
- feature extraction
- standard machine learning algorithms