Abstract
E-health is a key factor in the E-society. E-health, in fact, enhances the efficiency and reduces the costs of the health services. In the diagnostic field, E-health can avail of several Machine Learning (ML) algorithms, as Artificial Neural Networks (ANNs) for instance, which often demonstrated a high classification accuracy. Although ANNs have already been applied for medical diagnosis, their influence on the Decision Making Process (DMP) has not been investigated in detail. Therefore, this paper focuses on the impact of ANNs on the DMP for a special kind of medical diagnosis called Spondylolisthesis and Disk Hernia. Through the Decision Model and Notation standard (DMN), the DMP is described, offering a model for possible health policies. In this way ANNs supported decision making for Spondylolisthesis and Disk Hernia diagnosis improve efficiency and quality of health service, especially in developing countries.
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Wide angle X-ray imaging of the sagittal plane, which divides the body in left and right halves .
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Servadei, L., Schmidt, R., Bär, F. (2017). Artificial Neural Network for Supporting Medical Decision Making: A Decision Model and Notation Approach to Spondylolisthesis and Disk Hernia. In: Ciuciu, I., et al. On the Move to Meaningful Internet Systems: OTM 2016 Workshops. OTM 2016. Lecture Notes in Computer Science(), vol 10034. Springer, Cham. https://doi.org/10.1007/978-3-319-55961-2_22
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