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A Clinical Decision Support System to Help the Interpretation of Laboratory Results and to Elaborate a Clinical Diagnosis in Blood Coagulation Domain
- Source :
- International Work-Conference on Artificial Neural Networks (IWANN), International Work-Conference on Artificial Neural Networks (IWANN), Jun 2019, Gran Canaria, Spain. pp.109-122, Advances in Computational Intelligence ISBN: 9783030205171, IWANN (2)
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- Hemophilia is a rare hemorrhagic disorder caused by clotting factor deficiencies that leads to a less efficient coagulation system. Treatments of this pathology rely on a patient’s subjective assessment which reflects a need for a laboratory assay able to predict the clinical patient phenotype. According to the literature, global assays such as thrombin generation (TG), are good predictors of bleeding episodes and therefore seem to be good candidates to fit this need. Nevertheless, the result of the TG assay, known as thrombogram, is difficult to interpret for non-expert clinicians. In this paper, we present a machine learning-based clinical decision support system which goal is to help clinical decision making. In doing so, we have adopted several approaches in order to evaluate well-known machine learning algorithms, in terms of accuracy and robustness, on a thrombogram database generated using numerical simulations. Obtained results, 95.57% of accuracy using a cascade of a SVM and MLPs to classify all categories and 98.10% of accuracy for the binary case hemophilia A/B, prove that our proposal can efficiently diagnose hemophilia.
- Subjects :
- Clotting factor
Interpretation (logic)
Computer science
business.industry
02 engineering and technology
Machine learning
computer.software_genre
Clinical decision support system
Hemorrhagic disorder
3. Good health
Domain (software engineering)
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Support vector machine
Coagulation
Robustness (computer science)
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-20517-1
- ISBNs :
- 9783030205171
- Database :
- OpenAIRE
- Journal :
- International Work-Conference on Artificial Neural Networks (IWANN), International Work-Conference on Artificial Neural Networks (IWANN), Jun 2019, Gran Canaria, Spain. pp.109-122, Advances in Computational Intelligence ISBN: 9783030205171, IWANN (2)
- Accession number :
- edsair.doi.dedup.....ee7fc86ca057eb1a042cc71af2e20ff0