Identifying plausible adverse drug reactions using knowledge extracted from the literature
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TLDR
It is demonstrated that both RRI and PSI can recover known drug-adverse event associations, and RRI performed better overall, and has the additional advantage of being able to recover the literature underlying the reasoning pathways it used to make its predictions.About:
This article is published in Journal of Biomedical Informatics.The article was published on 2014-12-01 and is currently open access. It has received 68 citations till now. The article focuses on the topics: Literature-based discovery.read more
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Reasoning with vectors: A continuous model for fast robust inference
Dominic Widdows,Trevor Cohen +1 more
TL;DR: The paper explains the way logical connectives can be used in semantic vector models, and summarizes the development of Predication-based Semantic Indexing, which involves the use of Vector Symbolic Architectures to represent the concepts and relationships from a knowledge base of subject-predicate-object triples.
Journal ArticleDOI
Literature Based Discovery: Models, methods, and trends.
Sam Henry,Bridget T. McInnes +1 more
TL;DR: This paper introduces the reader to modern and historical LBD models, key system components, evaluation methodologies, and current trends, and describes a unifying framework for LBD systems.
Journal ArticleDOI
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals
Pedro L. Teixeira,Wei-Qi Wei,Robert M. Cronin,Huan Mo,Jacob P. VanHouten,Robert J. Carroll,Eric LaRose,Lisa Bastarache,S. Trent Rosenbloom,Todd L. Edwards,Dan M. Roden,Thomas A. Lasko,Richard A. Dart,Anne M Nikolai,Peggy L. Peissig,Joshua C. Denny +15 more
TL;DR: Phenotyping algorithms applied to electronic health record (EHR) data enable investigators to identify large cohorts for clinical and genomic research and shows that billing codes or blood pressure readings alone yield good hypertension classification performance.
Journal ArticleDOI
From Big Data to Smart Data for Pharmacovigilance: The Role of Healthcare Databases and Other Emerging Sources
TL;DR: The uses of big data for drug safety post-marketing assessment, including signal detection, substantiation and validation of drug or vaccine safety signals, and increasingly new sources of information such as social media are also being considered.
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Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges
TL;DR: A narrative review of natural language processing's application to medication safety and the main benefit of NLP is in the time savings associated with automation of various medication safety tasks such as the medication reconciliation process facilitated by computers, as well as the potential for near–real‐time identification of adverse events for postmarketing surveillance such as those posted on social media that would otherwise go unanalyzed.
References
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Journal ArticleDOI
KEGG: Kyoto Encyclopedia of Genes and Genomes
Minoru Kanehisa,Susumu Goto +1 more
TL;DR: The Kyoto Encyclopedia of Genes and Genomes (KEGG) as discussed by the authors is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules.
Book
Introduction to Information Retrieval
TL;DR: In this article, the authors present an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections.
Journal ArticleDOI
The environment and disease: association or causation?
TL;DR: The criteria outlined in "The Environment and Disease: Association or Causation?" help identify the causes of many diseases, including cancers of the reproductive system.
Journal ArticleDOI
A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
TL;DR: A new general theory of acquired similarity and knowledge representation, latent semantic analysis (LSA), is presented and used to successfully simulate such learning and several other psycholinguistic phenomena.
Proceedings ArticleDOI
The relationship between Precision-Recall and ROC curves
Jesse Davis,Mark Goadrich +1 more
TL;DR: It is shown that a deep connection exists between ROC space and PR space, such that a curve dominates in R OC space if and only if it dominates in PR space.