✦ LIBER ✦

Data Mining in Healthcare and Biomedicine: A Survey of the Literature

✍ Scribed by Illhoi Yoo, Patricia Alafaireet, Miroslav Marinov, Keila Pena-Hernandez, Rajitha Gopidi, Jia-Fu Chang, Lei Hua

Book ID: 113071983
Publisher: Springer US
Year: 2011
Tongue: English
Weight: 1010 KB
Volume: 36
Category: Article
ISSN: 0148-5598
DOI: 10.1007/s10916-011-9710-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Data mining in e-commerce: A survey

✍ N. R. Srinivasa Raghavan 📂 Article 📅 2005 🏛 Indian Academy of Sciences 🌐 English ⚖ 73 KB

Mining Text Data || A Survey of Opinion

Mining Text Data || A Survey of Opinion Mining and Sentiment Analysis

✍ Aggarwal, Charu C.; Zhai, ChengXiang 📂 Article 📅 2012 🏛 Springer US ⚖ 421 KB

Mining Text Data || A Survey of Opinion

Mining Text Data || A Survey of Opinion Mining and Sentiment Analysis

✍ Aggarwal, Charu C.; Zhai, ChengXiang 📂 Article 📅 2012 🏛 Springer US ⚖ 421 KB

Sentiment analysis or opinion mining is the computational study of people's opinions, appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and their attributes. The task is technically challenging and practically very useful. For example, businesses always want to

A data mining approach in home healthcar

A data mining approach in home healthcare: outcomes and service use

✍ Elizabeth A Madigan; Olivier Louis Curet 📂 Article 📅 2006 🏛 BioMed Central 🌐 English ⚖ 285 KB

Mining the pharmacogenomics literature--

Mining the pharmacogenomics literature--a survey of the state of the art

✍ Hahn, U.; Cohen, K. B.; Garten, Y.; Shah, N. H. 📂 Article 📅 2012 🏛 Oxford University Press 🌐 English ⚖ 449 KB

[Advanced Information and Knowledge Proc

[Advanced Information and Knowledge Processing] Data Mining in Bioinformatics || Survey of Biodata Analysis from a Data Mining Perspective

✍ Wu, Xindong; Jain, Lakhmi; Wang, Jason T.L.; Zaki, Mohammed J.; Toivonen, Hannu 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 333 KB

Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.