Michele Filannino

发表

Automatic prediction of coronary artery disease from clinical narratives

Özlem Uzuner, Kevin Buchan, Michele Filannino, 2017, J. Biomed. Informatics.

Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" [J Biomed Inform. 2017 Nov;75S: S62-S70]

Özlem Uzuner, Michele Filannino, Amber Stubbs, 2018, J. Biomed. Informatics.

ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge pdf

Goran Nenadic, Gavin Brown, Michele Filannino, 2013, SemEval@NAACL-HLT.

Prescription extraction using CRFs and word embeddings

Özlem Uzuner, Michele Filannino, Carson Tao, 2017, J. Biomed. Informatics.

An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction

Michele Filannino, Carson Tao, Kahyun Lee, 2019, MedInfo.

Temporal expression extraction with extensive feature type selection and a posteriori label adjustment

Goran Nenadic, Michele Filannino, 2015, Data Knowl. Eng..

2018 N2c2 Shared Task on Adverse Drug Events and Medication Extraction in Electronic Health Records

Michele Filannino, Amber Stubbs, Özlem Uzuner, 2020, J. Am. Medical Informatics Assoc..

Extracting ADRs from Drug Labels using Bi-LSTM and CRFs

Özlem Uzuner, Michele Filannino, Carson Tao, 2018, American Medical Informatics Association Annual Symposium.

Precision Medicine: matching cancer patients with clinical trials

Özlem Uzuner, Kevin Buchan, Michele Filannino, 2018, AMIA.

An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification

Michele Filannino, Kahyun Lee, Özlem Uzuner, 2019, MedInfo.

Mining temporal footprints from Wikipedia

Goran Nenadic, Michele Filannino, 2014, COLING 2014.

Extracting and Normalizing Adverse Drug Reactions from Drug Labels

Özlem Uzuner, Oladimeji Farri, Kevin Buchan, 2017, TAC.

Temporal expression normalisation in natural language texts pdf

Michele Filannino, 2012, ArXiv.

Introducing Serendipity in a Content-Based Recommender System

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching

Özlem Uzuner, Oladimeji Farri, Michele Filannino, 2017, TREC.

Data-driven temporal information extraction with applications in general and clinical domains

Michele Filannino, Michele Filannino, 2016 .

Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge

Goran Nenadic, Michele Filannino, G. Nenadic, 2014, NTCIR.

Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives

Goran Nenadic, Aleksandar Kovacevic, John A. Keane, 2013, J. Am. Medical Informatics Assoc..

Gold standard vs. silver standard: the case of dependency parsing for Italian

Michele Filannino, Marilena Di Bari, 2015 .

De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1.

Michele Filannino, Amber Stubbs, Özlem Uzuner, 2017, Journal of biomedical informatics.

Cohort selection for clinical trials: n2c2 2018 shared task track 1

Ergin Soysal, Michele Filannino, Amber Stubbs, 2019, J. Am. Medical Informatics Assoc..

Precision Medicine: matching cancer patients with relevant treatments

Özlem Uzuner, Kevin Buchan, Michele Filannino, 2018, American Medical Informatics Association Annual Symposium.

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks

Özlem Uzuner, Michele Filannino, Özlem Uzuner, 2018, Yearbook of Medical Informatics.

FABLE: A Semi-Supervised Prescription Information Extraction System

Özlem Uzuner, Michele Filannino, Carson Tao, 2018, AMIA.

Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists

Filippo Lanubile, Fabio Calefato, Michele Filannino, 2021, 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN).

A Survey of Bioinformatics Database and Software Usage through Mining the Literature

Robert Stevens, Goran Nenadic, Geraint Duck, 2016, PloS one.

A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.

Michele Filannino, Amber Stubbs, Özlem Uzuner, 2017, Journal of biomedical informatics.

Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2.

Özlem Uzuner, Michele Filannino, Amber Stubbs, 2017, Journal of biomedical informatics.