An interpretation algorithm for molecular diagnosis of bacterial vaginosis in a maternity hospital using machine learning: proof-of-concept study
| Autor: | Richard J. Drew, Thomas Murphy, Deirdre Broderick, Joanne O’Gorman, Maeve Eogan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Microbiology (medical) 030106 microbiology Hospitals Maternity Machine learning computer.software_genre Polymerase Chain Reaction Proof of Concept Study Sensitivity and Specificity law.invention Machine Learning 03 medical and health sciences 0302 clinical medicine law Medicine Humans 030212 general & internal medicine Cross Infection business.industry Area under the curve Reproducibility of Results General Medicine Vaginosis Bacterial medicine.disease Predictive value Confidence interval Infectious Diseases Gram staining Molecular Diagnostic Techniques Female Artificial intelligence Bacterial vaginosis business Algorithm computer Algorithms |
| Zdroj: | Diagnostic microbiology and infectious disease. 96(2) |
| ISSN: | 1879-0070 |
| Popis: | Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis (BV). A machine learning algorithm was devised on 200 samples (BV = 23, non-BV = 177) converting 7 identified bacterial strains polymerase chain reaction results to binary output of BV detected or not. Comparing algorithm interpretation of molecular results to the consensus Gram stain (Hay's criteria), the sensitivity was 65% [95% confidence interval (CI) 42–83%], specificity was 98% (95% CI 95–99%), positive predictive value was 83% (95% CI 58–96%), and negative predictive value was 95% (91–98%) with area under the curve of 0.82 (95% CI 0.76–0.87). For the second phase, 100 samples were processed using the 2 techniques in parallel, with the scientists blinded to the result of the other method. There was agreement 90% of the cases (n = 90/100). The samples that were called BV by the algorithm but non-BV by Gram stain all cluster with the concordant BV samples, suggesting that the molecular test was correct. |
| Databáze: | OpenAIRE |
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