Results of algorithm validation. حسب Lorenzo Jaime Yu Flores (11414024)

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Biomarkers and cancer subtype. حسب Michael Bonert (3751348)

"…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …"

Data_Sheet_1_Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention.docx حسب Mara Giavina-Bianchi (11334102)

Anonymized data. حسب Michael Bonert (3751348)

"…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …"

Biomarkers and neuroanatomical sites. حسب Michael Bonert (3751348)

"…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …"

All tables and figures. حسب Michael Bonert (3751348)

"…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …"

Selected lung biomarkers. حسب Michael Bonert (3751348)

"…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …"

Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf حسب Michael Moor (10887888)

Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF حسب Michael Moor (10887888)

Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf حسب Ka Keat Lim (8915009)

Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf حسب Ka Keat Lim (8915009)

S1 File - حسب Michael Bonert (3751348)

S2 File - حسب Michael Bonert (3751348)

Clinical history. حسب Michael Bonert (3751348)

Neuroanatomical site overlap. حسب Michael Bonert (3751348)

Datasets used for the study and their sources. حسب Peter N-jonaam Mahama (15347793)

The study flowchart. حسب Nguyen Tat Thanh (10296398)

Missing value chart of candidate variables. حسب Nguyen Tat Thanh (10296398)

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"