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.
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field, and is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text ...
Chong Wang, Bo Thiesson, Chris Meek, and David Blei. Markov topic models. InProceedings of AISTATS, 2009. 61. Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, ...
In R. Casey and B. Croft (eds.), Second Annual Symposium on Document Analysis and Information ... Stolcke, A., E. Shriberg, R. Bates, N. Coccaro, D. Jurafsky, R. Martin, M. Meteer, K. Ries, P. Taylor, and C. Van Ess-Dykema. 1998.
This book is intended for translational researchers and informaticians in pediatrics, but can also serve as a guide to all institutions facing the challenges of developing and strengthening informatics support for biomedical research.
A basic grasp of data science is recommended in order to fully benefit from this book. This book seeks to promote the exploitation of data science in healthcare systems.
The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies"--
Memetic Federated Learning for Biomedical Natural Language Processing Xinya Zhou1, Conghui Tan2, Di Jiang2, Bosen Zhang1,B) Si Li1, Yajing Xu1, Qian Xu2, and Sheng Gao1,3( 1 2 Beijing University of Post and Telecommunications, Beijing, ...
Proceedings of the Workshop on Biomedical Natural Language Processing. BiomedNLP 2011, 15 September, 2011, Hissar, Bulgaria: Held in Conjunction with...
Foundation of Statistical Natural Language Processing. Cambridge, MA. Luenberger, D.J. (1984) Linear and non Linear Programming. Addison-Wesley. Lussier, Y. A., Sarkar, I. N., & Cantor, M. (2002). An integrative model for in-silico ...
This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision.