Mattia Prosperi
Orcid: 0000-0002-9021-5595Affiliations:
- University of Florida, Gainesville, FL, USA
- University of Manchester, UK
According to our database1,
Mattia Prosperi
authored at least 87 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium.
BMC Medical Informatics Decis. Mak., December, 2023
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records.
J. Am. Medical Informatics Assoc., December, 2023
MEGARes and AMR++, v3.0: an updated comprehensive database of antimicrobial resistance determinants and an improved software pipeline for classification using high-throughput sequencing.
Nucleic Acids Res., January, 2023
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.
Int. J. Medical Informatics, 2023
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.
CoRR, 2023
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data.
CoRR, 2023
Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant Staphylococcus Aureus Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Int. J. Medical Informatics, 2022
Int. J. Medical Informatics, 2022
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data.
CoRR, 2022
Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus.
CoRR, 2022
Optimizing viral genome subsampling by genetic diversity and temporal distribution (TARDiS) for phylogenetics.
Bioinform., 2022
Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing.
Briefings Bioinform., 2022
Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions.
Artif. Intell. Medicine, 2022
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Transmission cluster characteristics of global, regional, and lineage-specific SARS-CoV-2 phylogenies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Complementing ICD Codes with Nurses' Assessment Data Can Improve the Identification of Patients with Hearing and Visual Impairments.
Proceedings of the AMIA 2022, 2022
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation.
Proceedings of the AMIA 2022, 2022
2021
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.
npj Digit. Medicine, 2021
Bagged random causal networks for interventional queries on observational biomedical datasets.
J. Biomed. Informatics, 2021
Deep propensity network using a sparse autoencoder for estimation of treatment effects.
J. Am. Medical Informatics Assoc., 2021
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.
J. Am. Medical Informatics Assoc., 2021
Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: A case study on methicillin-resistant <i>Staphylococcus aureus</i> bacteremia infections.
Int. J. Medical Informatics, 2021
BMC Bioinform., 2021
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Experimental Survey on Power Dissipation of k-mer-Handling Data Structures for Mobile Bioinformatics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
KARGA: Multi-platform Toolkit for k-mer-based Antibiotic Resistance Gene Analysis of High-throughput Sequencing Data.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Causal inference and counterfactual prediction in machine learning for actionable healthcare.
Nat. Mach. Intell., 2020
An ontology-based documentation of data discovery and integration process in cancer outcomes research.
BMC Medical Informatics Decis. Mak., 2020
Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States.
J. Am. Medical Informatics Assoc., 2020
Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.
J. Am. Medical Informatics Assoc., 2020
Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach.
Int. J. Medical Informatics, 2020
Assessing mental health signals among sexual and gender minorities using Twitter data.
Health Informatics J., 2020
Assessing the effect of data integration on predictive ability of cancer survival models.
Health Informatics J., 2020
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
CoRR, 2020
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Multivariate Independence Set Search via Progressive Addition for Conditional Markov Acyclic Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Nat. Mach. Intell., 2019
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.
BMC Medical Informatics Decis. Mak., 2019
A data-driven and practice-based approach to identify risk factors associated with hospital-acquired falls: Applying manual and semi- and fully-automated methods.
Int. J. Medical Informatics, 2019
Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States.
CoRR, 2019
Bioinform., 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Unexpected Predictors of Antibiotic Resistance in Housekeeping Genes of Staphylococcus Aureus.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
BMC Medical Informatics Decis. Mak., 2018
Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm - kidney stones (DACA-KS).
BMC Medical Informatics Decis. Mak., 2018
An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets.
Proceedings of the Information Management and Big Data, 5th International Conference, 2018
Third-generation sequencing data analytics on mobile devices: cache oblivious and out-of-core approaches as a proof-of-concept.
Proceedings of the 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
A new approach to disentangle genetic and epigenetic components on disease comorbidities: studying correlation between genotypic and phenotypic disease networks.
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017
Efficient data structures for mobile de novo genome assembly by third-generation sequencing.
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017
2016
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
High-performance data structures for de novo assembly of genomes: cache oblivious generic programming.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
Development and preliminary validation of a dynamic, patient-tailored method to detect abnormal laboratory test results.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
2014
Baseline CD4<sup>+</sup> T Cell Counts Correlates with HIV-1 Synonymous Rate in HLA-B*5701 Subjects with Different Risk of Disease Progression.
PLoS Comput. Biol., 2014
Can multiple SNP testing in BRCA2 and BRCA1 female carriers be used to improve risk prediction models in conjunction with clinical assessment?
BMC Medical Informatics Decis. Mak., 2014
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
Proceedings of the AMIA 2014, 2014
2012
QuRe: software for viral quasispecies reconstruction from next-generation sequencing data.
Bioinform., 2012
2011
A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen.
BMC Medical Informatics Decis. Mak., 2011
Combinatorial analysis and algorithms for quasispecies reconstruction using next-generation sequencing.
BMC Bioinform., 2011
2009
Stochastic modelling of genotypic drug-resistance for human immunodeficiency virus towards long-term combination therapy optimization.
Bioinform., 2009
2008
Proceedings of the Engineering Evolutionary Intelligent Systems, 2008
Auton. Robots, 2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
2007
Statistical Comparison of Machine Learning Techniques for Treatment Optimisation of Drug-Resistant HIV-1.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007
HIV-1 Coreceptor Usage Prediction via Indexed Local Kernel Smoothing Methods and Grid-Based Multiple Statistical Validation.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007