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[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 …
studies of diagnostic test accuracy in various conditions and test outcomes. Methods The …
Information retrieval and text mining technologies for chemistry
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 …
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 …
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 …
informatics research to evaluate classification and prediction models for decision support …
Semi-automated screening of biomedical citations for systematic reviews
Background Systematic reviews address a specific clinical question by unbiasedly
assessing and analyzing the pertinent literature. Citation screening is a time-consuming and …
assessing and analyzing the pertinent literature. Citation screening is a time-consuming and …
Reducing workload in systematic review preparation using automated citation classification
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 …
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?
Background Although many aspects of systematic reviews use computational tools,
systematic reviewers have been reluctant to adopt machine learning tools. Discussion We …
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
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 …
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 …
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 …
expertise by selecting and analysing the current pertinent literature. As part of this process …