48 citations · 50 across the 5 of their papers we have counts for
5 papers
An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction
Davide Chicco, Nicoletta Benvenuto
Breast cancer is one of the most widespread types of cancer, affecting approximately 8 million women worldwide. Electronic health records of patients diagnosed with this disease ca…
Comparative analysis of unsupervised clustering techniques using validation metrics: Study on cognitive features from the Canadian Longitudinal Study on Aging (CLSA)
ChenNingZhi Sheng
Purpose: The primary goal of this study is to explore the application of evaluation metrics to different clustering algorithms using the data provided from the Canadian Longitudina…
Interactive Classification Metrics: A graphical application to build robust intuition for classification model evaluation
David H. Brown, Davide Chicco
Machine learning continues to grow in popularity in academia, in industry, and is increasingly used in other fields. However, most of the common metrics used to evaluate even simpl…
EHRs Data Harmonization Platform, an easy-to-use shiny app based on recodeflow for harmonizing and deriving clinical features
Arian Aminoleslami, Geoffrey M. Anderson, Davide Chicco
Electronic health records (EHRs) contain important longitudinal information on individuals who have received medical care. Traditionally, EHRs have been used to support a wide rang…
The MCC-F1 curve: a performance evaluation technique for binary classification
Chang Cao, Davide Chicco, Michael M. Hoffman
Many fields use the ROC curve and the PR curve as standard evaluations of binary classification methods. Analysis of ROC and PR, however, often gives misleading and inflated perfor…