[HTML][HTML] Sample size estimation in diagnostic test studies of biomedical informatics

K Hajian-Tilaki - Journal of biomedical informatics, 2014 - Elsevier
Objectives This review provided a conceptual framework of sample size calculations in the
studies of diagnostic test accuracy in various conditions and test outcomes. Methods The …

Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

G Ferdinands, R Schram, J de Bruin, A Bagheri… - Systematic …, 2023 - Springer
Background Conducting a systematic review demands a significant amount of effort in
screening titles and abstracts. To accelerate this process, various tools that utilize active …

[HTML][HTML] The use of receiver operating characteristic curves in biomedical informatics

TA Lasko, JG Bhagwat, KH Zou… - Journal of biomedical …, 2005 - Elsevier
Receiver operating characteristic (ROC) curves are frequently used in biomedical
informatics research to evaluate classification and prediction models for decision support …

Semi-automated screening of biomedical citations for systematic reviews

BC Wallace, TA Trikalinos, J Lau, C Brodley… - BMC …, 2010 - Springer
Background Systematic reviews address a specific clinical question by unbiasedly
assessing and analyzing the pertinent literature. Citation screening is a time-consuming and …

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 …

A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

AM O'Connor, G Tsafnat, J Thomas, P Glasziou… - Systematic reviews, 2019 - Springer
Background Although many aspects of systematic reviews use computational tools,
systematic reviewers have been reluctant to adopt machine learning tools. Discussion We …

Clustering more than two million biomedical publications: Comparing the accuracies of nine text-based similarity approaches

KW Boyack, D Newman, RJ Duhon, R Klavans… - PloS one, 2011 - journals.plos.org
Background We investigate the accuracy of different similarity approaches for clustering over
two million biomedical documents. Clustering large sets of text documents is important for a …

[HTML][HTML] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: a sco** review

ÁO Dos Santos, ES da Silva, LM Couto… - Journal of Biomedical …, 2023 - Elsevier
Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Automatic text classification to support systematic reviews in medicine

JJG Adeva, JMP Atxa, MU Carrillo… - Expert Systems with …, 2014 - Elsevier
Medical systematic reviews answer particular questions within a very specific domain of
expertise by selecting and analysing the current pertinent literature. As part of this process …