This volume details step-by-step instructions on biomedical literature mining prools. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, prools 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 prools.
Authoritative and cutting-edge,
Biomedical Text Mining
aims to be a useful practical guide to researches to help further their studies.