Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Takaya Saito, Marc Rehmsmeier · PLoS ONE · 2015 · 4.7K citations · Full text

Computing, Bioinformatics, Computer Science +13

AUC: a misleading measure of the performance of predictive distribution models

Jorge M. Lobo, Alberto Jiménez‐Valverde, Raimundo Real · Global Ecology and Biogeography · 2007 · 3.5K citations

Computing, Biostatistics, Clinical Decision Support +15

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

Gary S. Collins, Johannes B. Reitsma, Douglas G. Altman et al. · Annals of Internal Medicine · 2015 · 2.9K citations · Full text

Computing, Internal Medicine, Clinical Decision Support +16

International Standards for Neurological and Functional Classification of Spinal Cord Injury

Frederick Maynard, Michael B. Bracken, Graham H. Creasey et al. · Spinal Cord · 1997 · 2.1K citations

Medicine, Neurology, Neurosurgery +15

Cluster-wise assessment of cluster stability

Christian Hennig · Computational Statistics & Data Analysis · 2006 · 810 citations

Computing, Computer Science, Group Dynamics +11