Literature DB >> 8130510

AIDS2: a decision-support tool for decreasing physicians' uncertainty regarding patient eligibility for HIV treatment protocols.

L Ohno-Machado1, E Parra, S B Henry, S W Tu, M A Musen.   

Abstract

We have developed a decision-support tool, the AIDS Intervention Decision-Support System (AIDS2), to assist in the task of matching patients to therapy-related research protocols. The purposes of AIDS2 are to determine the initial eligibility status of HIV-infected patients for therapy-related research protocols, and to suggest additional data-gathering activities that will decrease uncertainty related to the eligibility status. AIDS2 operates in either a patient-driven or protocol-driven mode. We represent the system knowledge in three combined levels: a classification level, where deterministic knowledge is represented; a belief-network level, where probabilistic knowledge is represented; and a control level, where knowledge about the system's operation is stored. To determine whether the design specifications were met, we presented a series of 10 clinical cases based on actual patients to the system. AIDS2 provided meaningful advice in all cases.

Entities:  

Mesh:

Year:  1993        PMID: 8130510      PMCID: PMC2248545     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  4 in total

1.  Evaluating medical expert systems: what to test and how?

Authors:  J Wyatt; D Spiegelhalter
Journal:  Med Inform (Lond)       Date:  1990 Jul-Sep

2.  Evaluation of benefits derived from a computerized data management system for clinical trials data.

Authors:  L S Elting; G P Bodey
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

3.  Medical expert systems--knowledge tools for physicians.

Authors:  E H Shortliffe
Journal:  West J Med       Date:  1986-12

4.  A methodology for determining patients' eligibility for clinical trials.

Authors:  S W Tu; C A Kemper; N M Lane; R W Carlson; M A Musen
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

  4 in total
  10 in total

1.  Pilot study of a point-of-use decision support tool for cancer clinical trials eligibility.

Authors:  P P Breitfeld; M Weisburd; J M Overhage; G Sledge; W M Tierney
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

2.  Three decades of research on computer applications in health care: medical informatics support at the Agency for Healthcare Research and Quality.

Authors:  J Michael Fitzmaurice; Karen Adams; John M Eisenberg
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

3.  Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.

Authors:  Mike Conway; Richard L Berg; David Carrell; Joshua C Denny; Abel N Kho; Iftikhar J Kullo; James G Linneman; Jennifer A Pacheco; Peggy Peissig; Luke Rasmussen; Noah Weston; Christopher G Chute; Jyotishman Pathak
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 4.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

5.  A comparison of neural network models for the prediction of the cost of care for acute coronary syndrome patients.

Authors:  M B Ismael; E L Eisenstein; W E Hammond
Journal:  Proc AMIA Symp       Date:  1998

6.  Using Arden Syntax to identify registry-eligible very low birth weight neonates from the Electronic Health Record.

Authors:  Indra Neil Sarkar; Elizabeth S Chen; Paul T Rosenau; Matthew B Storer; Beth Anderson; Jeffrey D Horbar
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

7.  An Internet-based cancer clinical trials matching resource.

Authors:  James M Metz; Carolyn Coyle; Courtney Hudson; Margaret Hampshire
Journal:  J Med Internet Res       Date:  2005-07-01       Impact factor: 5.428

8.  Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials.

Authors:  Riccardo Miotto; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2015-03-13       Impact factor: 4.497

Review 9.  Employing computers for the recruitment into clinical trials: a comprehensive systematic review.

Authors:  Felix Köpcke; Hans-Ulrich Prokosch
Journal:  J Med Internet Res       Date:  2014-07-01       Impact factor: 5.428

10.  OWL model of clinical trial eligibility criteria compatible with partially-known information.

Authors:  Olivier Dameron; Paolo Besana; Oussama Zekri; Annabel Bourdé; Anita Burgun; Marc Cuggia
Journal:  J Biomed Semantics       Date:  2013-09-13
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.