[HTML][HTML] Text summarization in the biomedical domain: a systematic review of recent research
Objective The amount of information for clinicians and clinical researchers is growing
exponentially. Text summarization reduces information as an attempt to enable users to find …
exponentially. Text summarization reduces information as an attempt to enable users to find …
[HTML][HTML] Machine learning approaches to retrieve high-quality, clinically relevant evidence from the biomedical literature: systematic review
W Abdelkader, T Navarro, R Parrish… - JMIR medical …, 2021 - medinform.jmir.org
Background: The rapid growth of the biomedical literature makes identifying strong evidence
a time-consuming task. Applying machine learning to the process could be a viable solution …
a time-consuming task. Applying machine learning to the process could be a viable solution …
MCMR: Maximum coverage and minimum redundant text summarization model
In paper, we propose an unsupervised text summarization model which generates a
summary by extracting salient sentences in given document (s). In particular, we model text …
summary by extracting salient sentences in given document (s). In particular, we model text …
Biomedical text mining: a survey of recent progress
MS Simpson, D Demner-Fushman - Mining text data, 2012 - Springer
The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in developing tools and methods, and the …
several years, enormous progress has been made in developing tools and methods, and the …
Semantic measures for the comparison of units of language, concepts or instances from text and knowledge base analysis
Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …
relationship between elements of various types: units of language (eg, words, sentences …
Attention-based clinical note summarization
In recent years, the trend of deploying digital systems in numerous industries has hiked. The
health sector has observed an extensive adoption of digital systems and services that …
health sector has observed an extensive adoption of digital systems and services that …
[HTML][HTML] Graph-based biomedical text summarization: An itemset mining and sentence clustering approach
Objective Automatic text summarization offers an efficient solution to access the ever-
growing amounts of both scientific and clinical literature in the biomedical domain by …
growing amounts of both scientific and clinical literature in the biomedical domain by …
A joint model of feature mining and sentiment analysis for product review rating
The information in customer reviews is of great interest to both companies and consumers.
This information is usually presented as non-structured free-text so that automatically …
This information is usually presented as non-structured free-text so that automatically …
A semantic graph-based approach to biomedical summarisation
OBJECTIVE: Access to the vast body of research literature that is available in biomedicine
and related fields may be improved by automatic summarisation. This paper presents a …
and related fields may be improved by automatic summarisation. This paper presents a …
[HTML][HTML] Degree centrality for semantic abstraction summarization of therapeutic studies
Automatic summarization has been proposed to help manage the results of biomedical
information retrieval systems. Semantic MEDLINE, for example, summarizes semantic …
information retrieval systems. Semantic MEDLINE, for example, summarizes semantic …