Shulph Ink
Biomedical Text Mining
Biomedical Text Mining
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- More about Biomedical Text Mining
Biomedical Text Mining provides step-by-step instructions on biomedical literature mining protocols, covering disease comorbidity, literature-based discovery, machine learning, and uncovering unknown public knowledge. It is written in the format of the Methods in Molecular Biology series and includes tips on troubleshooting and known pitfalls.
Format: Paperback / softback
Length: 321 pages
Publication date: 19 June 2023
Publisher: Springer-Verlag New York Inc.
Biomedical literature mining protocols are detailed in this volume, with chapters covering a range of subjects such as disease comorbidity, literature-based discovery, combining literature mining and machine learning for predicting biomedical discoveries, and uncovering unknown public knowledge by combining two pieces of information from different sets of PubMed articles. Additional chapters discuss the importance of data science in understanding outbreaks such as COVID-19. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. This volume is intended to be a useful practical guide to researchers to help further their studies.
Dimension: 254 x 178 (mm)
ISBN-13: 9781071623077
Edition number: 1st ed. 2022
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