title: Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.
abstract: Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic approaches for information extraction, representation and analysis. Recent advances in text and data mining have been applied to a broad spectrum of key biomedical questions in genomics, pharmacogenomics and other fields. We present an overview of the fundamental methods for text and data mining, as well as recent advances and emerging applications toward precision medicine.
authors.forename: Graciela H
authors.initials: GH
authors.lastname: Gonzalez
authors.forename: Tasnia
authors.initials: T
authors.lastname: Tahsin
authors.forename: Britton C
authors.initials: BC
authors.lastname: Goodale
authors.forename: Anna C
authors.initials: AC
authors.lastname: Greene
authors.forename: Casey S
authors.initials: CS
authors.lastname: Greene
mesh_terms: D019295:Computational Biology / Q000639:trends; D003627:Data Interpretation, Statistical; D057225:Data Mining / Q000639:trends*; D058492:Drug Repositioning / Q000706:statistics & numerical data; D023281:Genomics / Q000706:statistics & numerical data; D006801:Humans; D010597:Pharmacogenetics / Q000706:statistics & numerical data; D057285:Precision Medicine / Q000706:statistics & numerical data / Q000639:trends; D015398:Signal Transduction; D014116:Toxicology / Q000706:statistics & numerical data
keywords: biomedical discovery; data mining; gene prioritization; pharmacogenomics; text mining; toxicology