Table_1_Angiotensin System Autoantibodies Correlate With Routine Prognostic Indicators for COVID-19 Severity.docx by Carmen M. Labandeira (12217994)

“…In 50 patients with a complete set of routine biochemical parameters, clinical data and disease outcome information, a Random Forest algorithm was used to select prognostic indicators, and the Spearman coefficient was used to analyze correlations with AT1-AA, ACE2-AA.…”

DataSheet_1_Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer.docx by Shima Sepehri (11574997)

“…Logistic regression (LR), random forest (RF), and support vector machine (SVM), as well as their consensus through averaging the output probabilities, were considered for feature selection and modeling for overall survival (OS) prediction as a binary classification (either median OS or 6 months OS). …”

Table1_A tumor-associated endothelial signature score model in immunotherapy and prognosis across pan-cancers.XLSX by Shuzhao Chen (9649139)

“…We further established a binary classification model to predict CIT responses using the least absolute shrinkage and selection operator (LASSO) computational algorithm.…”

DataSheet1_A tumor-associated endothelial signature score model in immunotherapy and prognosis across pan-cancers.PDF by Shuzhao Chen (9649139)

“…We further established a binary classification model to predict CIT responses using the least absolute shrinkage and selection operator (LASSO) computational algorithm.…”

DataSheet3_A tumor-associated endothelial signature score model in immunotherapy and prognosis across pan-cancers.PDF by Shuzhao Chen (9649139)

“…We further established a binary classification model to predict CIT responses using the least absolute shrinkage and selection operator (LASSO) computational algorithm.…”

DataSheet2_A tumor-associated endothelial signature score model in immunotherapy and prognosis across pan-cancers.PDF by Shuzhao Chen (9649139)

“…We further established a binary classification model to predict CIT responses using the least absolute shrinkage and selection operator (LASSO) computational algorithm.…”

Table_1_Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis.docx by Lizhao Yan (11774354)

“…Compared with simplifying the prediction as a binary classification problem, modeling the probability of an event as a function of time by combining it with deep learning can provide better accuracy and flexibility.…”