Journal ArticleDOI
An advanced review on text mining in medicine
TLDR
In this review, more than 90 relevant research studies have been analyzed, describing the most important practical applications, terminological resources, tools, and open challenges of TM in medicine.Abstract:
Health care professionals produce abundant textual information in their daily clinical practice and this information is stored in many diverse sources and, generally, in textual form. The extraction of insights from all the gathered information, mainly unstructured and lacking normalization, is one of the major challenges in computational medicine. In this respect, text mining (TM) assembles different techniques to derive valuable insights from unstructured textual data so it has led to be especially relevant in medicine. The aim of this paper is therefore to provide an extensive review of existing techniques and resources to perform TM tasks in medicine. In this review, more than 90 relevant research studies have been analyzed, describing the most important practical applications, terminological resources, tools, and open challenges of TM in medicine.read more
Citations
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Journal ArticleDOI
Text mining in education
TL;DR: This work presents a systematic overview of the current status of the Educational Text Mining field, answering three main research questions: which are the text mining techniques most used in educational environments?
Journal ArticleDOI
A critical review of text-based research in construction: Data source, analysis method, and implications
TL;DR: A comprehensive review of text analytics finds that the ontology- and rule-based approach has been dominant, at the same time, recent research has attempted to apply the state-of-the-art machine learning methods.
Journal ArticleDOI
Evolving Role and Future Directions of Natural Language Processing in Gastroenterology.
Fredy Nehme,Keith Feldman +1 more
TL;DR: This manuscript provides a clinically focused review of NLP systems in GI practice, presenting state-of-the-art methods and typical use cases within four prominent areas of gastroenterology including endoscopy, inflammatory bowel disease, pancreaticobiliary, and liver diseases.
Journal ArticleDOI
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Tabinda Sarwar,Sattar Seifollahi,Jeffrey Chan,Xiuzhen Jenny Zhang,Vural Aksakalli,Irene Hudson,Karin Verspoor,Lawrence Cavedon +7 more
TL;DR: An overview of information found in EHR systems and their characteristics that could be utilized for secondary applications is provided and can serve as a primer for researchers to understand the use of EHRs for data mining and analytics purposes.
Book ChapterDOI
Designing Explainable Text Classification Pipelines: Insights from IT Ticket Complexity Prediction Case Study
TL;DR: In this article, the authors investigate the core design elements of a typical text classification pipeline and their contribution to the overall performance of the system, in particular, text representation techniques and classification algorithms, in the context of their explainability, providing ultimate insights from their IT ticket complexity prediction case study.
References
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Posted Content
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Proceedings ArticleDOI
Convolutional Neural Networks for Sentence Classification
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