Literature DB >> 6347509

PUFF: an expert system for interpretation of pulmonary function data.

J S Aikins, J C Kunz, E H Shortliffe, R J Fallat.   

Abstract

The application of artificial intelligence techniques to real-world problems has produced promising research results, but seldom has a system become a useful tool in its domain of expertise. Notable exceptions are the DENDRAL (1) and MOLGEN (2) systems. This paper describes PUFF, a program that interprets lung function test data and has become a working tool in the pulmonary physiology lab of a large hospital. Elements of the problem that paved the way for its success are examined, as are significant limitations of the solution that warrant further study.

Mesh:

Year:  1983        PMID: 6347509     DOI: 10.1016/0010-4809(83)90021-6

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  11 in total

1.  Collaborative prototyping approaches for ICU decision aid design.

Authors:  L S Ehrhart; C W Hanson; B E Marshall; C Marshall; C Medsker
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  Medical expert systems: design and applications in pulmonary medicine.

Authors:  R Klar; A Zaiss
Journal:  Lung       Date:  1990       Impact factor: 2.584

3.  Knowledge based functions for routine use at a German university hospital setting: the issue of fine tuning.

Authors:  T Bürkle; H U Prokosch; G Hussak; J Dudeck
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

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

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

Review 5.  Artificial intelligence and machine learning for medical imaging: A technology review.

Authors:  Ana Barragán-Montero; Umair Javaid; Gilmer Valdés; Dan Nguyen; Paul Desbordes; Benoit Macq; Siri Willems; Liesbeth Vandewinckele; Mats Holmström; Fredrik Löfman; Steven Michiels; Kevin Souris; Edmond Sterpin; John A Lee
Journal:  Phys Med       Date:  2021-05-09       Impact factor: 2.685

6.  A novel AIDS/HIV intelligent medical consulting system based on expert systems.

Authors:  Alireza Pour Ebrahimi; Abbas Toloui Ashlaghi; Maryam Mahdavy Rad
Journal:  J Educ Health Promot       Date:  2013-09-30

7.  Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?

Authors:  Paresh C Giri; Anand M Chowdhury; Armando Bedoya; Hengji Chen; Hyun Suk Lee; Patty Lee; Craig Henriquez; Neil R MacIntyre; Yuh-Chin T Huang
Journal:  Front Physiol       Date:  2021-06-24       Impact factor: 4.566

8.  Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis.

Authors:  L Hart; A Polášková; P Schalek
Journal:  BMC Med Inform Decis Mak       Date:  2021-08-09       Impact factor: 2.796

Review 9.  Artificial Intelligence, Machine Learning, and Cardiovascular Disease.

Authors:  Pankaj Mathur; Shweta Srivastava; Xiaowei Xu; Jawahar L Mehta
Journal:  Clin Med Insights Cardiol       Date:  2020-09-09

Review 10.  Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.

Authors:  Danai Khemasuwan; Jeffrey S Sorensen; Henri G Colt
Journal:  Eur Respir Rev       Date:  2020-10-01
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