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Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...
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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Published on: December 11, 2016

On the query reformulation technique for effective MEDLINE document retrieval.

Sooyoung Yoo1, Jinwook Choi

  • 1Medical Information Center, Seoul National University Bundang Hospital, Gyeonggi-Do, Republic of Korea.

Journal of Biomedical Informatics
|April 17, 2010
PubMed
Summary

Improving MEDLINE document retrieval accuracy using query expansion with pseudo-relevance feedback (PRF) significantly boosts precision and recall. A novel term reweighting algorithm enhances retrieval performance, offering better search results.

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Area of Science:

  • Information Science
  • Medical Informatics
  • Computer Science

Background:

  • Low retrieval precision remains a significant challenge in MEDLINE document retrieval.
  • Pseudo-relevance feedback (PRF) is a promising query expansion technique for improving search accuracy.
  • Effective term selection and weight adjustment are crucial for successful PRF.

Purpose of the Study:

  • To systematically examine the impact of expansion term selection and term weight adjustment on MEDLINE document retrieval using PRF.
  • To compare different term ranking algorithms for selecting expansion terms.
  • To evaluate a novel term reweighting algorithm against traditional methods.

Main Methods:

  • Implemented a baseline information retrieval system using the Okapi BM25 retrieval model.
  • Compared six term ranking algorithms for expansion term selection.
  • Compared traditional term reweighting algorithms with a new group-based weighting scheme variant of Rocchio's formula.
  • Utilized the OHSUMED test collection for experimental evaluation.

Main Results:

  • A maximum improvement of 20.2% in mean average precision and 20.4% in recall was achieved over unexpanded queries.
  • The improvements were observed when using a co-occurrence analysis-based term ranking algorithm combined with the proposed term reweighting algorithm.
  • The results were statistically significant (p-value < 0.05).

Conclusions:

  • Query expansion using PRF, particularly with co-occurrence analysis for term selection and a novel group-based reweighting scheme, substantially enhances MEDLINE document retrieval.
  • The study provides insights into query reformulation techniques for more effective information retrieval from biomedical literature.
  • The developed methods offer a pathway to overcome precision limitations in existing MEDLINE search systems.