Authors and indexers are increasingly including terms for adverse "drug" effects in the titles, abstracts, or indexing of records in MEDLINE and Embase. However, it is not clear if this is the same for studies with "nondrug" adverse effects data. We therefore assessed the feasibility of using adverse effects terms when…

Objective: Identify the most performant automated text classification method (eg, algorithm) for differentiating empirical studies from nonempirical works in order to facilitate systematic mixed studies reviews. Methods: The algorithms were trained and validated with 8050 database records, which had previously been manually categorized as…

Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

Introduction: Use of the Internet for open Web searches is common among university students in academic learning tasks. The tools used by students to find relevant information for online assessment tasks were investigated and their information seeking behaviour was documented to explore the impact on assessment design. Method: A mixed methods…

Online discussion forums have become popular in recent times. They provide a platform for people from different parts of the world sharing a common interest to come together and topics of mutual interest and seek solutions to their problems. There are hundreds of thousands of internet forums containing tens of millions of discussion threads and…

The idea of pseudo-classification based on external relevance is introduced and compared with the more usual classifications derived by associative techniques. A general model for an information retrieval system using term classification is described. The derivation of a set of operators, or perturbations, for adjusting pseudo-classification and…

Describes a study that investigated document retrieval relevance based on document length in an experimental text collection. Topics include term weighting and document ranking, retrieval strategies such as the vector-space cosine match, and a modified technique called the pivoted cosine normalization. (LRW)

Meta-analysis is a technique used in a variety of disciplines to combine and summarize the findings of previous research. One step in the production of a meta-analysis is a thorough literature search for relevant studies. A variety of methods can be used to increase the number of studies that are found. This study examines the extent to which some…

The following topics are included in this document: (1) evaluation of plans for implementation of new systems; (2) macroevaluation of document retrieval systems; (3) microevaluation of retrospective searching; (4) evaluation of document acquisition functions; evluation of indexing and indexing languages; (5) evaluation of document screening; (6)…

This report discusses an experimental inquiry into the nature and use of context data. The objective is to explore the implications of a system incorporating context data and, ultimately, to test the utility of context data for meeting the needs of users of information systems. The result of this inquiry has been the establishment of a context…

Describes the simulation of a nearest neighbor searching algorithm for document retrieval using a pool of microprocessors. Three techniques are described which allow parallel searching of a binary search tree as well as a PASCAL-based system, PASSIM, which can simulate these techniques. Fifty-six references are provided. (Author/LRW)

Describes a model for the workload of a full text retrieval system and of a simulation model for a version of an existing system called Full/Text. The effectiveness of various data caching strategies using the 2 models are explored, and the impact of various parameters on the strategies are evaluated. (13 references) (LRW)

This discussion of the structure of online databases and the structure of related subject disciplines focuses on terms used in a book about tropical diseases and terms used in the MEDLINE database for articles on these diseases. Matrices used are explained and Medical Subject Heading (MeSh) terms are examined. (16 references) (LRW)

Discusses problems encountered with the syntactic analysis of free text documents in indexing. Postcoordination and precoordination of terms is discussed, an automatic indexing system call COPSY (context operator syntax) that uses natural language processing techniques is described, and future developments are explained. (60 references) (LRW)

This set of papers offers insights into some of the major developments in the field of classification and knowledge organization, and highlights many of the fundamental changes in views and theories which have taken place during the last 40 years. This document begins with a series of reminiscences from former delegates of the first International…