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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2150633/
The clinical decision support system suggested the correct diagnosis in 48 of 50 cases (96%) with key findings entry, and in 37 of the 50 cases (74%) if the entire case history was pasted in. Pasting took seconds, manual entry less than a minute, and results were …Cited by: 110
https://www.visualdx.com/
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https://en.wikipedia.org/wiki/Clinical_decision_support_system
An example of how a clinical decision support system might be used by a clinician is a diagnosis decision support system. A DDSS requests some of the patients data and in response, proposes a set of appropriate diagnoses.
https://www.hindawi.com/journals/cmmm/2012/367345/
Medical diagnosis can be performed in an automatic way with the use of computer-based systems or algorithms. Such systems are usually called diagnostic decision support systems (DDSSs) or medical diagnosis systems (MDSs). An evaluation of the performance of a DDSS called ML-DDSS has been performed in this paper. The methodology is based on clinical case resolution performed by …Cited by: 14
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC116181/
Articles about medical diagnostic decision support (MDDS) systems often begin with a disclaimer such as, "despite many years of research and millions of dollars of expenditures on medical diagnostic systems, none is in widespread use at the present time." While this statement remains true in the ...
https://www.cummins.com/support/digital-products-and-services-support/expert-diagnostic-system-eds-support
EDS (Expert Diagnostic System) improves troubleshooting efficiency and reduces diagnostic steps up to 50% by leveraging a database of real-world repair reports from around the globe.
https://www.nature.com/articles/s41598-019-50567-5
Oct 08, 2019 · Yamada, M., Saito, Y., Imaoka, H. et al. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Sci …Cited by: 2
http://www.openclinical.org/dss.html
The system's decision making was based on the naive Bayesian approach. INTERNIST I (1974) Pople and Myers begin work on INTERNIST, one of the first clinical decision support systems, designed to support diagnosis, in 1970.
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