Adriano Chiò

Orcid: 0000-0001-9579-5341

According to our database1, Adriano Chiò authored at least 24 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.
CoRR, 2024

Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Advances in Information Retrieval, 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

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Advances in Information Retrieval, 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


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
Understanding users and their needs.
Univers. Access Inf. Soc., 2009

2008
Eye Tracking Impact on Quality-of-Life of ALS Patients.
Proceedings of the Computers Helping People with Special Needs, 2008


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