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D. Chicco · SciRah

Researcher profile · Semantic Scholar

D. Chicco

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D. Chicco — researcher profile on SciRah

h-index: 31
Works: 121
Citations: 19K

Most-cited papers

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
D. Chicco, Giuseppe Jurman
2020BMC Genomics5,926 citations Open access
Semantic Scholar
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
D. Chicco, M. Warrens, Giuseppe Jurman
2021PeerJ Computer Science5,167 citations Open access
Semantic Scholar
Bioconda: sustainable and comprehensive software distribution for the life sciences
Ryan K. Dale, B. Grüning, A. Sjödin, J. Rowe +148 more
2018Nature Methods1,480 citations Open access
Semantic Scholar
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
D. Chicco, Niklas Tötsch, Giuseppe Jurman
2021BioData Mining847 citations Open access
Semantic Scholar
Ten quick tips for machine learning in computational biology
D. Chicco
2017BioData Mining792 citations Open access
Semantic Scholar
Siamese Neural Networks: An Overview
D. Chicco
2021Artificial Neural Networks, 3rd Edition642 citations
Semantic Scholar
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
D. Chicco, Giuseppe Jurman
2023BioData Mining635 citations Open access
Semantic Scholar
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
D. Chicco, Giuseppe Jurman
2020BMC Medical Informatics and Decision Making560 citations Open access
Semantic Scholar
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment
D. Chicco, M. Warrens, Giuseppe Jurman
2021IEEE Access356 citations Open access
Semantic Scholar
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
M. Menden, Dennis Wang, M. Mason, B. Szalai +350 more
2019Nature Communications321 citations Open access
Semantic Scholar
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
Sheojung Shin, P. Austin, H. Ross, H. Abdel-Qadir +10 more
2020ESC Heart Failure168 citations Open access
Semantic Scholar
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics
D. Chicco, Andrea Sichenze, G. Jurman
2025BioData Mining157 citations Open access
Semantic Scholar
The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment
D. Chicco, V. Starovoitov, Giuseppe Jurman
2021IEEE Access94 citations Open access
Semantic Scholar
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
Kelwin Fernandes, D. Chicco, Jaime S. Cardoso, Jessica Fernandes
2018PeerJ Computer Science89 citations Open access
Semantic Scholar
Nine quick tips for pathway enrichment analysis
D. Chicco, Giuseppe Agapito
2022PLoS Comput. Biol.81 citations Open access
Semantic Scholar
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
R. Kueffner, N. Zach, M. Bronfeld, Raquel Norel +104 more
2018Scientific Reports66 citations Open access
Semantic Scholar
Survival prediction of patients with sepsis from age, sex, and septic episode number alone
D. Chicco, Giuseppe Jurman
2020Scientific Reports65 citations Open access
Semantic Scholar
The MCC-F1 curve: a performance evaluation technique for binary classification
Chang Cao, D. Chicco, M. M. Hoffman
2020arXiv.org65 citations
Semantic Scholar
Computational prediction of diagnosis and feature selection on mesothelioma patient health records
D. Chicco, C. Rovelli
2019PLoS ONE63 citations Open access
Semantic Scholar
Eleven quick tips for data cleaning and feature engineering
D. Chicco, L. Oneto, E. Tavazzi
2022PLoS Comput. Biol.58 citations Open access
Semantic Scholar
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index
D. Chicco, Giuseppe Jurman
2023Journal of Biomedical Informatics56 citations Open access
Semantic Scholar
MACHINE LEARNING COMPARED TO CONVENTIONAL STATISTICAL MODELS FOR PREDICTING MYOCARDIAL INFARCTION READMISSION AND MORTALITY: A SYSTEMATIC REVIEW.
Min-Cho Sung, P. Austin, H. Ross, H. Abdel-Qadir +10 more
2021Canadian Journal of Cardiology56 citations
Semantic Scholar
The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters
D. Chicco, A. Campagner, A. Spagnolo, Davide Ciucci +1 more
2025PeerJ Computer Science45 citations Open access
Semantic Scholar
An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis
D. Chicco, Giuseppe Jurman
2021IEEE Access42 citations Open access
Semantic Scholar
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence
D. Chicco, Giuseppe Jurman
2022Frontiers in Robotics and AI40 citations Open access
Semantic Scholar
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses
D. Chicco, Fabio Cumbo, C. Angione
2023PLoS Comput. Biol.35 citations Open access
Semantic Scholar
A machine learning analysis of health records of patients with chronic kidney disease at risk of cardiovascular disease
D. Chicco, Christopher A. Lovejoy, L. Oneto
2021IEEE Access33 citations Open access
Semantic Scholar
Software Suite for Gene and Protein Annotation Prediction and Similarity Search
D. Chicco, M. Masseroli
2015IEEE/ACM Transactions on Computational Biology & Bioinformatics33 citations Open access
Semantic Scholar
Computational algorithms to predict Gene Ontology annotations
P. Pinoli, D. Chicco, M. Masseroli
2015BMC Bioinformatics31 citations Open access
Semantic Scholar
Bioconda: A sustainable and comprehensive software distribution for the life sciences
B. Grüning, R. Dale, A. Sjödin, B. Chapman +154 more
2017bioRxiv27 citations Open access
Semantic Scholar
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO).
D. Chicco
2021Methods in molecular biology25 citations
Semantic Scholar
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma
D. Chicco, L. Oneto
2021Health Informatics Journal22 citations Open access
Semantic Scholar
Ontology-Based Prediction and Prioritization of Gene Functional Annotations
D. Chicco, M. Masseroli
2016IEEE/ACM Transactions on Computational Biology & Bioinformatics21 citations
Semantic Scholar
The ABC recommendations for validation of supervised machine learning results in biomedical sciences
D. Chicco, Giuseppe Jurman
2022Frontiers in Big Data19 citations Open access
Semantic Scholar
A brief survey of tools for genomic regions enrichment analysis
D. Chicco, Giuseppe Jurman
2022Frontiers in Bioinformatics18 citations Open access
Semantic Scholar
geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO)
Abbas Alameer, D. Chicco
2021Bioinform.18 citations
Semantic Scholar
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme
Gabriel Cerono, O. Melaiu, D. Chicco
2023Journal of Healthcare Informatics Research17 citations Open access
Semantic Scholar
Data analytics and clinical feature ranking of medical records of patients with sepsis
D. Chicco, L. Oneto
2021BioData Mining17 citations Open access
Semantic Scholar
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data
D. Chicco, L. Oneto
2020IEEE/ACM Transactions on Computational Biology & Bioinformatics17 citations
Semantic Scholar
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
D. Chicco, Alessandro Fabris, G. Jurman
2025BioData Mining14 citations Open access
Semantic Scholar
Hyperdimensional computing in biomedical sciences: a brief review
Fabio Cumbo, D. Chicco
2025PeerJ Computer Science14 citations Open access
Semantic Scholar
Ten quick tips for computational analysis of medical images
D. Chicco, R. Shiradkar
2023PLoS Comput. Biol.14 citations Open access
Semantic Scholar
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma
D. Chicco, T. Sanavia, Giuseppe Jurman
2023BioData Mining13 citations Open access
Semantic Scholar
Gene signatures for cancer research: A 25-year retrospective and future avenues
Wei Liu, Huaqin He, D. Chicco
2024PLoS Comput. Biol.12 citations Open access
Semantic Scholar
Eight quick tips for biologically and medically informed machine learning
L. Oneto, D. Chicco
2025PLoS Comput. Biol.11 citations Open access
Semantic Scholar
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing
Giulia Cisotto, D. Chicco
2024PeerJ Computer Science10 citations Open access
Semantic Scholar
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma
D. Chicco, Gabriel Cerono, Davide Cangelosi
2022Data Science Journal10 citations Open access
Semantic Scholar
BEHST: genomic set enrichment analysis enhanced through integration of chromatin long-range interactions
D. Chicco, H. Bi, J. Reimand, M. M. Hoffman
2019bioRxiv10 citations Open access
Semantic Scholar
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease
D. Chicco, Giuseppe Jurman
2021IEEE Access9 citations Open access
Semantic Scholar
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters
D. Chicco, G. Sabino, L. Oneto, G. Jurman
2025PeerJ Computer Science8 citations Open access
Semantic Scholar

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