Data Mining: Medical and Engineering Case Studies

Published 1 January 2000

Andrew Kusiak

Citations48

TL;DR

The problem of predicting outcomes in medical and engineering applications is discussed and the problem is solved with a data mining approach that generates a solution that is validated with the second algorithm.

Abstract

In the paper the problem of predicting outcomes in medical and engineering applications is discussed. The problem is solved with a data mining approach. The first of the two algorithms presented in the paper generates a solution that is validated with the second algorithm. The validated solution constitutes the final decision.

Keywords

Computer ScienceHealth Professions

Rough Sets: Theoretical Aspects of Reasoning about Data

8,416 Citations1991Zdzisław Pawlak

University of Maribor digital library (University of Maribor)Data Mining Techniques: For Marketing, Sales, and Customer Support

1,756 Citations1997Michael J. Berry, Gordon S. Linoff

One of the first practical guides to mining business data, Data Mining Techniques describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies.

View PDF

International Journal of Human-Computer StudiesTrust, self-confidence, and operators' adaptation to automation

901 Citations1994John D. Lee, Neville Moray

This paper examines the relationship between trust in automatic controllers, self-confidence in manual control abilities, and the use of automatic controllers in operating a simulated semi-automatic pasteurization plant and found trust, combined with self- confidence, predicted the operators' allocation strategy.

Predictive Data Mining: A Practical Guide

574 Citations1997Sholom M. Weiss, Nitin Indurkhya

This chapter discusses data mining, reduction and mining in the context of big data, and some of the lessons learned can be applied to other areas of science and engineering.

Fundamenta InformaticaeA New Version of the Rule Induction System LERS

462 Citations1997Jerzy W. Grzymala‐Busse

A new version of the rule induction system LERS is described and compared with the old version and the new LERS system performance is fully comparable with performance of the other two systems.

Rough Sets and Data Mining

278 Citations1997Tzu‐Yu Lin, N. Cercone

Assembly AutomationComputational Intelligence in Design and Manufacturing

140 Citations2001Andrew Kusiak

Medical Entomology and ZoologyData Mining: A Hands on Approach for Business Professionals

107 Citations1997Robert Groth

A look at DataMind, a look at NeuralWorks Predict, and industry applications of Data Mining Applications in Banking and Finance, and more on Neural Networks.

Using rough sets as tools for knowledge discovery

58 Citations1995Ning Shan, Wojciech Ziarko +2 more

An attribute-oriented rough set method for knowledge discovery in databases based on information generalization, which examines the data at various levels of abstraction, followed by the discovery, analysis and simplification of significant data relationships.

Hospital PracticeManagement of the Solitary Pulmonary Nodule

19 Citations1993Glen A. Lillington

Probability techniques can provide support for clinical judgment in large lesions and small lesions, where large lesions are often malignant and call for prompt resection.