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*Maziar Shahzad Dowlatshahi, **Mehrnoosh Kiani, ***Azade Saki.
Background: In traditional methods prognosis is determined based on number of current clinical parameters without considering risk ratios of each parameter and especially on self implications of clinicians which often lead to false conclusions.
The Goal of this project is construction & evaluation of a computer software (Decision Support System) for determining primary prognosis to decrease cited problems.
Methods and materials: First, project algorithems based on risk ratios of most important clinical factors with mathematical and statistical calculation designed. Next, among 30 periodontal patients, 61 teeth were selected as case and information form for each of cases was given to three experienced periodontists and they determined prognosis (clinical prognosis). Afterward, algorithm prognosis was determined for each case. Finally, a computer software (DSS) was written based on designed algorithems and accuracy calculated.
Results: The DSS results were same as gold standard (algorithmic prognosis) and to conclude Accuracy was 100%. Moreover, there was a significant difference between three clinical prognosis and also between clinical prognosis and algorithmic prognosis (DSS) which was the main rationale to doing this study.
Conclusion: With regard to including most important clinical parameters with risk ratios of each parameter which is not performed by mankind accurately, we can conclude that this DSS is reliable and useful.
*Periodontist, Private Practice.
**DDS, Private Practice.
***Department of Medical Statistics, Ahwaz University of Medical Sciences, IRAN.
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