Intelligent Data Analysis in Medicine and Pharmacology

Overview

Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis, etc.), and by the increasing number of new applications in this field. In our view, the awareness of these ...

See more details below
Paperback (Softcover reprint of the original 1st ed. 1997)
$262.39
BN.com price
(Save 5%)$279.00 List Price
Other sellers (Paperback)
  • All (4) from $190.38   
  • New (4) from $190.38   
Sending request ...

Overview

Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis, etc.), and by the increasing number of new applications in this field. In our view, the awareness of these challenging research fields and emerging technologies has been much larger in industry than in medicine and pharmacology. The main purpose of this book is to present the various techniques and methods that are available for intelligent data analysis in medicine and pharmacology, and to present case studies of their application.
Intelligent Data Analysis in Medicine and Pharmacology consists of selected (and thoroughly revised) papers presented at the First International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-96) held in Budapest in August 1996 as part of the 12th European Conference on Artificial Intelligence (ECAI-96), IDAMAP-96 was organized with the motivation to gather scientists and practitioners interested in computational data analysis methods applied to medicine and pharmacology, aimed at narrowing the increasing gap between excessive amounts of data stored in medical and pharmacological databases on the one hand, and the interpretation, understanding and effective use of stored data on the other hand. Besides the revised Workshop papers, the book contains a selection of contributions by invited authors.
The expected readership of the book is researchers and practitioners interested in intelligent data analysis, data mining, and knowledge discovery in databases, particularly those who are interested in using these technologies in medicine and pharmacology. Researchers and students in artificial intelligence and statistics should find this book of interest as well. Finally, much of the presented material will be interesting to physicians and pharmacologists challenged by new computational technologies, or simply in need of effectively utilizing the overwhelming volumes of data collected as a result of improved computer support in their daily professional practice.

Read More Show Less

Editorial Reviews

Booknews
Compiles selected and thoroughly revised research papers presented at the August 1996 Workshop held in Budapest as part of the 12th European Conference on Artificial Intelligence, and includes additional contributions by invited authors. Presents available techniques and methods for intelligent data analysis in medicine and pharmacology along with case studies of their application, the purpose being to narrow the gap between excessive amounts of data stored in databases and the interpretation, understanding, and effective use of stored data. Primarily addressed to researchers and practitioners, but parts can be used as advanced readings for university courses in medical informatics. Annotation c. by Book News, Inc., Portland, Or.
Read More Show Less

Product Details

Table of Contents

1. Intelligent Data Analysis in Medicine and Pharmacology: An Overview; N. Lavrac, et al. Part I: Data Abstraction. 2. Time-Oriented Analysis of High-Frequency Data in ICU Monitoring; S. Miksch, et al. 3. Context-Sensitive Temporal Abstraction of Clinical Data; Y. Shahar. 4. Temporal Abstraction of Medical Data: Deriving Periodicity; E.T. Keravnou. 5. Cooperative Intelligent Data Analysis: An Application to Diabetic Patients Management; R. Bellazzi, et al. 6. Ptah: A System for Supporting Nosocomial Infection Therapy; M. Bohanec, et al. Part II: Data Mining. 7. Prognosing the Survival Time of Patients with Anaplastic Thyroid Carcinoma Using Machine Learning; M. Kukar, et al. 8. Data Analysis of Patients with Severe Head Injury; I.A. Pilih, et al. 9. Dementia Screening with Machine Learning Methods; W.R. Shankle, et al. 10. Experiments with Machine Learning in the Prediction of Coronary Artery Disease Progression; B. Ster, et al. 11. Noise Elimination Applied to Early Diagnosis of Rheumatic Diseases; N. Lavrac, et al. 12. Diterpene Structure Elucidation from 13C NMR-Spectra with Machine Learning; S. Dzeroski, et al. 13. Using Inductive Logic Programming to Learn Rules that Identify Glaucomatous Eyes; F. Mizoguchi, et al. 14. Carcinogenesis Predictions Using Inductive Logic Programming; A. Srinivasan, et al. 15. Concept Discovery by Decision Table Decomposition and Its Application in Neurophysiology; B. Zupan, et al. 16. Classification of Human Brain Waves Using Self-Organizing Maps; U. Heuser, et al. 17. Applying a Neural Network to Prostate Cancer Survival Data; M.W. Kattan, et al. Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)