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Marco Muselli

rulex inc

27H-index
132Paper Count
2.6KCitation Count
Published Papers 21
Publication Date
Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning–Based Analysis of a Large Real World Cohort
err2026-03-09
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PREAI
errPierpaolo Falcetta; Rita Zilich; Fabio Baccetti; Walter Baronti; Lelio Morviducci; Nicoletta Musacchio; Marco Muselli; Alessandro Ozzello; Federico Pisani; Antonio Rossi; Enrica Salomone; Damiano Verda; Riccardo Candido; Paola Ponzani
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A novel score function for conformal prediction in rule-based binary classification
err2025-07-28
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errOAAI
errSara Narteni; Alberto Carlevaro; Fabrizio Dabbene; Marco Muselli; Maurizio Mongelli
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A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy
err2024-10-01
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errOAAI
errMusacchio, Nicoletta; Zilich, Rita; Masi, Davide; Baccetti, Fabio; Nreu, Besmir; Giorda, Carlo Bruno; Guaita, Giacomo; Morviducci, Lelio; Muselli, Marco; Ozzello, Alessandro; Pisani, Federico; Ponzani, Paola; Rossi, Antonio; Santin, Pierluigi; Verda, Damiano; Di Cianni, Graziano; Candido, Riccardo
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Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control
err2024-02-14
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errOAAI
errNicoletta, Musacchio; Zilich, Rita; Masi, Davide; Baccetti, Fabio; Nreu, Besmir; Giorda, Carlo Bruno; Guaita, Giacomo; Morviducci, Lelio; Muselli, Marco; Ozzello, Alessandro; Pisani, Federico; Ponzani, Paola; Rossi, Antonio; Santin, Pierluigi; Verda, Damiano; Cianni, Graziano Di; Candido, Riccardo
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Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-learning Projection Using Data from Clinical Practice
err2023-08-01
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errOAAI
errGiorda, Carlo Bruno; Rossi, Antonio; Baccetti, Fabio; Zilich, Rita; Romeo, Francesco; Besmir, Nreu; Di Cianni, Graziano; Guaita, Giacomo; Morviducci, Lelio; Muselli, Marco; Ozzello, Alessandro; Pisani, Federico; Ponzani, Paola; Santin, Pierluigi; Verda, Damiano; Musacchio, Nicoletta
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Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group
err2023-06-16
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errOAAI
errMasi, Davide; Zilich, Rita; Candido, Riccardo; Giancaterini, Annalisa; Guaita, Giacomo; Muselli, Marco; Ponzani, Paola; Santin, Pierluigi; Verda, Damiano; Musacchio, Nicoletta
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LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis
err2022-09-26
err9
errOAAI
errGerussi, Alessio; Verda, Damiano; Cappadona, Claudio; Cristoferi, Laura; Bernasconi, Davide Paolo; Bottaro, Sandro; Carbone, Marco; Muselli, Marco; Invernizzi, Pietro; Asselta, Rosanna
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VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications
err2022-06-22
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errOAAI
errDaher, Ali W.; Ferrari, Enrico; Muselli, Marco; Chible, Hussein; Caviglia, Daniele D.
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Machine learning in primary biliary cholangitis: A novel approach for risk stratification
err2022-01-07
err14
PREAI
errGerussi, Alessio; Verda, Damiano; Bernasconi, Davide Paolo; Carbone, Marco; Komori, Atsumasa; Abe, Masanori; Inao, Mie; Namisaki, Tadashi; Mochida, Satoshi; Yoshiji, Hitoshi; Hirschfield, Gideon; Lindor, Keith; Pares, Albert; Corpechot, Christophe; Cazzagon, Nora; Floreani, Annarosa; Marzioni, Marco; Alvaro, Domenico; Vespasiani-Gentilucci, Umberto; Cristoferi, Laura; Valsecchi, Maria Grazia; Muselli, Marco; Hansen, Bettina E.; Tanaka, Atsushi; Invernizzi, Pietro
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Clustering Reveals the Prognostic Role of Serum Albumin Values Within the Normal Range in Patients with Primary Biliary Cholangitis
err2021-03-01
err0
PREAI
errGerussi, A.; Verda, D.; Bernasconi, D. P.; Carbone, M.; Komori, A.; Abe, M.; Inao, M.; Namisaki, T.; Mochida, S.; Yoshiji, H.; Hirschfield, G.; Lindor, K.; Pares, A.; Corpechot, C.; Cazzagon, N.; Floreani, A.; Marzioni, M.; Alvaro, D.; Vespasiani-Gentilucci, U.; Cristoferi, L.; Valsecchi, M. G.; Muselli, M.; Hansen, B. E.; Tanaka, A.; Invernizzi, P.
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A Mathematical Model for the Validation of Gene Selection Methods
err2011-09-01
err4
PREAI
errMuselli, Marco; Bertoni, Alberto; Frasca, Marco; Beghini, Alessandro; Ruffino, Francesca; Valentini, Giorgio
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Efficient global maximum likelihood estimation through kernel methods
err2010-09-01
err5
PREAI
errCervellera, Cristiano; Maccio, Danilo; Muselli, Marco
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Evaluating switching neural networks through artificial and real gene expression data
err2009-02-01
err9
PREAI
errMuselli, Marco; Costacurta, Massimiliano; Ruffino, Francesca
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Jordan recurrent neural network versus IHACRES in modelling daily streamflows
err2008-12-01
err63
PREAI
errCarcano, Elena Carta; Bartolini, Paolo; Muselli, Marco; Piroddi, Luigi
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Gene expression modeling through positive Boolean functions
err2008-01-01
err3
errOAAI
errRuffino, Francesca; Muselli, Marco; Valentini, Giorgio
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Cancer recognition with bagged ensembles of support vector machines
err2004-01-01
err80
PREAI
errValentini, G; Muselli, M; Ruffino, F
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A clustering technique for the identification of piecewise affine systems
err2003-02-01
err413
PREAI
errFerrari-Trecate, G; Muselli, M; Liberati, D; Morari, M
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