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Network Modeling Analysis in Health Informatics and Bioinformatics

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01-12-2017 | Original Article

On the interpretation of the effects of the Infliximab treatment on Crohn’s disease patients from Facebook posts: a human vs. machine comparison

Authors: Marco Roccetti, Paola Salomoni, Catia Prandi, Gustavo Marfia, Silvia Mirri

Published in: Network Modeling Analysis in Health Informatics and Bioinformatics | Issue 1/2017

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Abstract

This paper completes an analysis started a few years ago which has exploited Facebook as a tool suitable for collecting and analyzing Crohn’s disease patients’ reactions to the Infliximab treatment. We here finish off such work by comparing the satisfaction recorded with the use of sentiment analysis techniques as provided by intelligent tools for subjectivity analysis (e.g., OpinionFinder) against the satisfaction recorded by human experts (both physicians and non-medical experts). In summary, the following results appear to be of particular interest: (i) the Infliximab treatment confirms its efficacy as a result of the interpretations of Facebook posts given by both automatic tools and human experts, (ii) physicians tend to classify as neutral many posts on Infliximab that non-medical experts classified as negative, and (iii) OpinionFinder is inclined to confirm the evaluations provided by medical experts.

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Title: On the interpretation of the effects of the Infliximab treatment on Crohn’s disease patients from Facebook posts: a human vs. machine comparison
Authors: Marco Roccetti
Paola Salomoni
Catia Prandi
Gustavo Marfia
Silvia Mirri
Publication date: 01-12-2017
Publisher: Springer Vienna
Published in: Network Modeling Analysis in Health Informatics and Bioinformatics / Issue 1/2017
Print ISSN: 2192-6662
Electronic ISSN: 2192-6670
DOI: https://doi.org/10.1007/s13721-017-0152-y

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