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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dharmar, C. Srinivasan, S. Mital, D. Haque, S. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Health Inf., UMDNJ, Newark, NJ, USA (Dharmar, C.; Srinivasan, S.; Mital, D.; Haque, S.) |
| Abstract | The main objective of this project is to develop an expert system module that uses the clinical decision criteria of experts in the neonatology field to advice paramedical and semi-skilled personnel who require guidance to diagnose the etiology of neonatal jaundice. The project was developed with a commercially available software package EXSYS (Multilogic Inc.). In this project, we have used a rule-based system to build the decision tree that would aid the paramedical personnel to arrive at a appropriate etiology for hyperbilirubinemia in a neonate. The project is field tested in India, where the residents are asked to come up with the correct diagnosis given the clinical tests. The disadvantage of this model is that there is the problem of it becoming obsolete in a few years time unless it is constantly being updated by developers. There is also the problem that this system cannot train or learn by itself unlike an artificial neural network. |
| Starting Page | 1002 |
| Ending Page | 1006 |
| File Size | 392363 |
| Page Count | 5 |
| File Format | |
| ISBN | 9810483643 |
| DOI | 10.1109/ICARCV.2002.1238561 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-12-02 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Nanyang Technological Univ |
| Subject Keyword | Medical expert systems Diagnostic expert systems Pediatrics Medical diagnostic imaging Personnel Testing Software packages Knowledge based systems Decision trees Artificial neural networks |
| Content Type | Text |
| Resource Type | Article |
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