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"Chicco, Davide"
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Ten quick tips for machine learning in computational biology
by
Chicco
,
Davide
Published in
BioData mining
(08.12.2017)
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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
by
Chicco
,
Davide
,
Jurman, Giuseppe
Published in
BMC genomics
(02.01.2020)
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Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
by
Chicco
,
Davide
,
Jurman, Giuseppe
Published in
BMC medical informatics and decision making
(03.02.2020)
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The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
by
Chicco
,
Davide
,
Jurman, Giuseppe
Published in
BioData mining
(17.02.2023)
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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
by
Chicco
,
Davide
,
Tötsch, Niklas
,
Jurman, Giuseppe
Published in
BioData mining
(04.02.2021)
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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
by
Chicco
,
Davide
,
Warrens, Matthijs J
,
Jurman, Giuseppe
Published in
PeerJ. Computer science
(05.07.2021)
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Computational prediction of diagnosis and feature selection on mesothelioma patient health records
by
Chicco
,
Davide
,
Rovelli, Cristina
Published in
PloS one
(10.01.2019)
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Ten quick tips for computational analysis of medical images
by
Chicco
,
Davide
,
Shiradkar, Rakesh
Published in
PLoS computational biology
(05.01.2023)
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Nine quick tips for pathway enrichment analysis
by
Chicco
,
Davide
,
Agapito, Giuseppe
Published in
PLoS computational biology
(01.08.2022)
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The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment
by
Chicco
,
Davide
,
Warrens, Matthijs J.
,
Jurman, Giuseppe
Published in
IEEE access
(2021)
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Survival prediction of patients with sepsis from age, sex, and septic episode number alone
by
Chicco
,
Davide
,
Jurman, Giuseppe
Published in
Scientific reports
(13.10.2020)
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Eleven quick tips for data cleaning and feature engineering
by
Chicco
,
Davide
,
Oneto, Luca
,
Tavazzi, Erica
Published in
PLoS computational biology
(01.12.2022)
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Ten quick tips for avoiding pitfalls in multi-omics data integration analyses
by
Chicco
,
Davide
,
Cumbo, Fabio
,
Angione, Claudio
Published in
PLoS computational biology
(01.07.2023)
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The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment
by
Chicco
,
Davide
,
Starovoitov, Valery
,
Jurman, Giuseppe
Published in
IEEE access
(2021)
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An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis
by
Chicco
,
Davide
,
Jurman, Giuseppe
Published in
IEEE access
(2021)
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Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment
by
Chicco
,
Davide
,
Ferraro Petrillo, Umberto
,
Cattaneo, Giuseppe
Published in
PLoS computational biology
(01.07.2023)
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Seven quick tips for gene-focused computational pangenomic analysis
by
Bonnici, Vincenzo
,
Chicco
,
Davide
Published in
BioData mining
(03.09.2024)
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Ten simple rules for organizing a special session at a scientific conference
by
Chicco
,
Davide
,
Bourne, Philip E
Published in
PLoS computational biology
(01.08.2022)
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Data analytics and clinical feature ranking of medical records of patients with sepsis
by
Chicco
,
Davide
,
Oneto, Luca
Published in
BioData mining
(03.02.2021)
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An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence
by
Chicco
,
Davide
,
Jurman, Giuseppe
Published in
Frontiers in robotics and AI
(25.03.2022)
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