Selection of patients for clinical trials: an interactive web-based system

被引：23

作者：

Fink, E ^{[1
]}

Kokku, PK ^{[1
]}

Nikiforou, S ^{[1
]}

Hall, LO ^{[1
]}

Goldgof, DB ^{[1
]}

Krischer, JP ^{[1
]}

机构：

[1] Univ S Florida, Tampa, FL 33620 USA

来源：

ARTIFICIAL INTELLIGENCE IN MEDICINE | 2004年 / 31卷 / 03期

关键词：

clinical trials; expert system; cost reduction; breast cancer;

D O I：

10.1016/j.artmed.2004.01.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The purpose of a clinical trial is to evaluate a new treatment procedure. When medical researchers conduct a trial, they recruit participants with appropriate health problems and medical histories. To select participants, they analyze medical records of the available patients, which has traditionally been a manual procedure. We describe an expert system that helps to select patients for clinical trials. If the available data are insufficient for choosing patients, the system suggests additional medical tests and finds an ordering of the tests that reduces their total cost. Experiments show that the system can increase the number of selected patients. We also present an interface that enables a medical researcher to add clinical trials and selection criteria without the help of a programmer. The addition of a new trial takes 10-20 min, and novice users learn the functionality of the interface in about an hour. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：241 / 254

页数：14

共 48 条

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