DOI:10.1017/S0266462399015214 - Corpus ID: 11023273
THE ART AND SCIENCE OF SEARCHING MEDLINE TO ANSWER CLINICAL QUESTIONS Finding the Right Number of Articles
@article{Allison1999THEAA,
title={THE ART AND SCIENCE OF SEARCHING MEDLINE TO ANSWER CLINICAL QUESTIONS Finding the Right Number of Articles},
author={Jeroan J Allison and Catarina I. Kiefe and Norman W. Weissman and Jerome H. Carter and Robert M. Centor},
journal={International Journal of Technology Assessment in Health Care},
year={1999},
volume={15},
pages={281 - 296},
url={https://api.semanticscholar.org/CorpusID:11023273}
}- Jeroan J Allison, Catarina I. Kiefe, Robert M. Centor
- Published in International Journal of… 1 May 1999
- Computer Science, Medicine
This work focuses on MEDLINE by summarizing the current state of the art and providing an innovative approach for skill enhancement, and proposes an idealized classification system for the results of a MEDLINE search.
Topics
Medical Literature Analysis And Retrieval System Online (opens in a new tab)Precision (opens in a new tab)State Of The Art (opens in a new tab)Medical Subject Headings (opens in a new tab)Information Retrieval (opens in a new tab)Classification System (opens in a new tab)Adaptive Resonance Theory (opens in a new tab)
54 Citations
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This study constructed and validated better search strategies to identify diagnostic articles recorded on MEDLINE with special emphasis on precision and measured the sensitivity, precision and the number needed to read (1/precision) of every candidate term.
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The article differentiates between sensitivity (maximum recall) and specificity (relevance of recall), and suggests how to identify a manageable number of relevant citations, how to save the citations, and how to obtain the full text.
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The goal is that users can improve their literature search technique by employing a structured approach and asking relevant questions before starting a search is essential.
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This study constructed and validate better search strategies to identify diagnostic articles recorded on MEDLINE with special emphasis on precision and measured the sensitivity, precision and the Number Needed to Read (1/precision) of every candidate term.
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70 References
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