Biomedical Text Mining
Download and Read Biomedical Text Mining full books in PDF, ePUB, and Kindle. Read online free Biomedical Text Mining ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Author | : Kalpana Raja |
Publisher | : Springer Nature |
Total Pages | : 324 |
Release | : 2022-06-17 |
Genre | : Science |
ISBN | : 1071623052 |
Download Biomedical Text Mining Book in PDF, Epub and Kindle
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.
Author | : Kevin Bretonnel Cohen |
Publisher | : John Benjamins Publishing Company |
Total Pages | : 174 |
Release | : 2014-02-15 |
Genre | : Computers |
ISBN | : 9027271062 |
Download Biomedical Natural Language Processing Book in PDF, Epub and Kindle
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
Author | : Vinod D. Kumar |
Publisher | : Humana |
Total Pages | : 0 |
Release | : 2016-09-24 |
Genre | : Science |
ISBN | : 9781493954292 |
Download Biomedical Literature Mining Book in PDF, Epub and Kindle
Biomedical Literature Mining, discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Biomedical Literature Mining is designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in or entirely new to, the field.
Author | : Sophia Ananiadou |
Publisher | : Artech House Publishers |
Total Pages | : 312 |
Release | : 2006 |
Genre | : Computers |
ISBN | : |
Download Text Mining for Biology and Biomedicine Book in PDF, Epub and Kindle
Here's the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources now at your disposal - and how best to utilize them.
Author | : Aditi Sharan |
Publisher | : Springer Nature |
Total Pages | : 438 |
Release | : |
Genre | : |
ISBN | : 9819739624 |
Download Text Mining Approaches for Biomedical Data Book in PDF, Epub and Kindle
Author | : Charles Blinderman |
Publisher | : Charles C Thomas Publisher |
Total Pages | : 380 |
Release | : 1990-01-01 |
Genre | : Biology |
ISBN | : 0398082278 |
Download BIOLEXICON Book in PDF, Epub and Kindle
The vocabulary of biology is made easier through knowing the meanings of elements that make up whole words. English continues to adopt words from foreign languages and to build its vocabulary by inventing new words from old elements. Most of the words entering English every year reside in technical vocabularies and knowing what the elements mean prepares medical students and physicians, the practitioner of any biological science, and anyone else to decipher these new words that might name a newly discovered microbe or mastodon, a disease, or a surgical procedure.
Author | : Hercules Dalianis |
Publisher | : Springer |
Total Pages | : 192 |
Release | : 2018-05-14 |
Genre | : Computers |
ISBN | : 3319785036 |
Download Clinical Text Mining Book in PDF, Epub and Kindle
This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.
Author | : Marco Antonio Aceves-Fernandez |
Publisher | : BoD – Books on Demand |
Total Pages | : 466 |
Release | : 2018-06-27 |
Genre | : Computers |
ISBN | : 178923364X |
Download Artificial Intelligence Book in PDF, Epub and Kindle
Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.
Author | : Charu C. Aggarwal |
Publisher | : Springer Science & Business Media |
Total Pages | : 527 |
Release | : 2012-02-03 |
Genre | : Computers |
ISBN | : 1461432235 |
Download Mining Text Data Book in PDF, Epub and Kindle
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Author | : Indra Neil Sarkar |
Publisher | : Academic Press |
Total Pages | : 589 |
Release | : 2013-09-03 |
Genre | : Computers |
ISBN | : 0124016847 |
Download Methods in Biomedical Informatics Book in PDF, Epub and Kindle
Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.