Biomedical Text Mining

Kalpana Raja

ISBN 10: 1071623079 / ISBN 13: 9781071623077

Verlag: Springer US Jun 2023, 2023

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, 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 to understand outbreaks such as COVID-19. Written in the format of the highly successfulMethods in Molecular Biologyseries, 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.Authoritative and cutting-edge,Biomedical Text Mining aims to be auseful practical guide to researches to help further their studies. 336 pp. Englisch.

Bestandsnummer des Verkäufers 9781071623077

Bibliografische Details

• Titel: Biomedical Text Mining
• Verlag: Springer US Jun 2023
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1071623079
• ISBN-13: 9781071623077
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 254B x 178 H x 19 T Millimeter Breite: 254 mm, Höhe: 178 mm, Tiefe: 19 mm
• Gewicht: 634 Gramm

Über diesen Titel

Inhaltsangabe

This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, 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 to understand 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.

 

Authoritative and cutting-edge, Biomedical Text Mining aims to be a useful practical guide to researches to help further their studies.          

Von der hinteren Coverseite

This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, 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 to understand 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, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.

 

Authoritative and cutting-edge, Biomedical Text Mining aims to be a useful practical guide to researches to help further their studies.