Using machine learning to understand age and gender classification based on infant temperament | PLOS ONE
IJERPH | Free Full-Text | Frailty Screening in the Emergency Department: Comparing the Variable Indicative of Placement Risk, Clinical Frailty Scale and PRISMA-7
Veterinary Sciences | Free Full-Text | A Cutoff Determination of Real-Time Loop-Mediated Isothermal Amplification (LAMP) for End-Point Detection of Campylobacter jejuni in Chicken Meat
Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models | Chemical Research in Toxicology
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose? - neptune.ai
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
Frontiers | The Assessment of the Osteoporosis Self-Assessment Tool for Asians and Calcaneal Quantitative Ultrasound in Identifying Osteoporotic Fractures and Falls Among Chinese People
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling
JCM | Free Full-Text | Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
A Coefficient of Agreement for Nominal Scales - Jacob Cohen, 1960
The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
Cohen's Kappa. Understanding Cohen's Kappa coefficient | by Kurtis Pykes | Towards Data Science
Predicting Clinical Outcomes of Large Vessel Occlusion Before Mechanical Thrombectomy Using Machine Learning | Stroke
IJERPH | Free Full-Text | Accuracy of Computer-Aided Detection of Occupational Lung Disease: Silicosis and Pulmonary Tuberculosis in Ex-Miners from the South African Gold Mines
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
