Adriano Chiò
Orcid: 0000-0001-9579-5341
According to our database1,
Adriano Chiò
authored at least 24 papers
between 2008 and 2024.
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Bibliography
2024
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling.
IEEE J. Biomed. Health Informatics, December, 2024
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
BMC Medical Informatics Decis. Mak., December, 2024
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.
J. Biomed. Semant., December, 2024
CoRR, 2024
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
Proceedings of the Advances in Information Retrieval, 2024
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.
Dataset, November, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Causal associations of genetic factors with clinical progression in amyotrophic lateral sclerosis.
Comput. Methods Programs Biomed., 2022
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2020
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach.
BMC Medical Informatics Decis. Mak., 2020
Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression.
BMC Bioinform., 2019
2017
A Dynamic Bayesian Network model for simulation of disease progression in Amyotrophic Lateral Sclerosis patients.
PeerJ Prepr., 2017
2009
2008
Proceedings of the Computers Helping People with Special Needs, 2008