Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions
D Pappa, LK Stergioulas - International Journal of Data Science and …, 2019 - Springer
The ever-increasing supply of information combined with the growing knowledge elicitation
capabilities of key emerging technologies presents pharmacovigilance with enormous …
capabilities of key emerging technologies presents pharmacovigilance with enormous …
Future paradigms of automated processing of business documents
M Cristani, A Bertolaso, S Scannapieco… - International Journal of …, 2018 - Elsevier
In this paper we summarize the results obtained so far in the communities interested in the
development of automated processing techniques as applied to business documents, and …
development of automated processing techniques as applied to business documents, and …
[HTML][HTML] From narrative descriptions to MedDRA: automagically encoding adverse drug reactions
Context The collection of narrative spontaneous reports is an irreplaceable source for the
prompt detection of suspected adverse drug reactions (ADRs). In such task qualified domain …
prompt detection of suspected adverse drug reactions (ADRs). In such task qualified domain …
Normalizing Spontaneous Reports Into MedDRA: Some Experiments With
Text normalization into medical dictionaries is useful to support clinical tasks. A typical
setting is pharmacovigilance (PV). The manual detection of suspected adverse drug …
setting is pharmacovigilance (PV). The manual detection of suspected adverse drug …
Terminology expansion via co-occurrence analysis of large clinical real-world datasets
M Kreuzthaler, B Pfeifer, S Schulz - 2022 IEEE 10th …, 2022 - ieeexplore.ieee.org
A huge clinical problem list whose entries had been annotated with ICD-10 codes was used
as a resource for harvesting clinical terminology, in particular those expressions that do not …
as a resource for harvesting clinical terminology, in particular those expressions that do not …
Mapping free text into MedDRA by natural language processing: a modular approach in designing and evaluating software extensions
MagiCoder is a Natural Language Processing application designed to extract MedDRA
terms from narrative clinical text. MagiCoder has been developed to support the work of …
terms from narrative clinical text. MagiCoder has been developed to support the work of …
Protecting the environment: a multi-agent approach to environmental monitoring
M Cristani, L Pasetto, C Tomazzoli - Procedia Computer Science, 2020 - Elsevier
In this paper we discuss a transition model from commonly adopted models of data
gathering, transfer and management for environmental monitoring towards more …
gathering, transfer and management for environmental monitoring towards more …
A simple algorithm for the lexical classification of comparable adjectives
Lexical classification is one of the most widely investigated fields in (computational)
linguistic and Natural language Processing. Adjectives play a significant role both in …
linguistic and Natural language Processing. Adjectives play a significant role both in …
Making sentiment analysis algorithms scalable
M Cristani, M Cristani, A Pesarin, C Tomazzoli… - Current Trends in Web …, 2018 - Springer
In this paper we introduce a simplified approach to sentiment analysis: a lexicon-driven
method based upon only adjectives and adverbs. This method is compared in cross …
method based upon only adjectives and adverbs. This method is compared in cross …
Automatic generation of dictionaries: The journalistic lexicon case
Text normalisation is an important task in the context of Natural Language Processing. By
normalisation, free text is mapped into dictionaries, ie indexed collections of locutions …
normalisation, free text is mapped into dictionaries, ie indexed collections of locutions …