Reducing workload in systematic review preparation using automated citation classification

AM Cohen, WR Hersh, K Peterson… - Journal of the American …, 2006 - academic.oup.com
Objective: To determine whether automated classification of document citations can be
useful in reducing the time spent by experts reviewing journal articles for inclusion in …

Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy

CR Norman, MMG Leeflang, R Porcher, A Neveol - Systematic reviews, 2019 - Springer
Background The large and increasing number of new studies published each year is making
literature identification in systematic reviews ever more time-consuming and costly …

Biomedical text mining: state-of-the-art, open problems and future challenges

A Holzinger, J Schantl, M Schroettner, C Seifert… - … Discovery and Data …, 2014 - Springer
Text is a very important type of data within the biomedical domain. For example, patient
records contain large amounts of text which has been entered in a non-standardized format …

[图书][B] Fuzzy topic modeling for medical corpora

A Karami - 2015 - search.proquest.com
Unstructured data such as text is an important data type in medical, biomedical, and health
domains. The majority of patient records are in non-standard text format which is both a …

Retrieving mutation-specific information for human proteins in UniProt/Swiss-Prot Knowledgebase

YL Yip, N Lachenal, V Pillet… - Journal of Bioinformatics …, 2007 - World Scientific
The UniProt/Swiss-Prot Knowledgebase records about 30,500 variants in 5,664 proteins
(Release 52.2). Most of these variants are manually curated single amino acid …

Systematic review automation methods

C Norman - 2020 - theses.hal.science
Recent advances in artificial intelligence have seen limited adoption in systematic reviews,
and much of the systematic review process remains manual, time-consuming, and …

Learning to find relevant biological articles without negative training examples

K Noto, MH Saier Jr, C Elkan - Australasian Joint Conference on Artificial …, 2008 - Springer
Classifiers are traditionally learned using sets of positive and negative training examples.
However, often a classifier is required, but for training only an incomplete set of positive …

Modeling in biomedical informatics—An exploratory analysis: Part 2

A Hasman, R Haux - International Journal of Medical Informatics, 2007 - Elsevier
OBJECTIVE: Modeling is a significant part of research, education and practice in biomedical
and health informatics. Our objective was to explore which types of models of processes are …

An automated procedure to identify biomedical articles that contain cancer‐associated gene variants

R McDonald, R Scott Winters, CK Ankuda… - Human …, 2006 - Wiley Online Library
The proliferation of biomedical literature makes it increasingly difficult for researchers to find
and manage relevant information. However, identifying research articles containing mutation …

생의학텍스트마이닝: 새로운생의학지식발견방법연구동향

GH Lee, GE Heo, M Song - … of the Korean Institute of Information …, 2015 - koreascience.kr
요약한다. 대부분의 자료는 표준 범용 문서 마크업 언 o|(Standard Generalized Markup
Language, SGML), É Z u H9|| 9 lo](eXtensible Markup Language, XML), 순수 텍스트의 …