Neural Network Using for Prediction Spinal Diseases
Spine disease is a universal health issue. More than half of the world's people are troubled by all kinds of back pain problems throughout their lives. Therefore, it is particularly vital to predicting related diseases. The identification and prediction of disease is an important and time-consu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/abstract24/files/Wan.pdf
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| Summary: | Spine disease is a universal health issue. More than half of the world's people are troubled by all kinds of back pain problems throughout their lives. Therefore, it is particularly vital to predicting related diseases. The identification and prediction of disease is an important and time-consuming task in medical diagnostic systems. With proper initial data, we can use machine learning to develop more effective prediction and diagnosis plans for certain diseases. This paper describes the implementation of a neural network based on a back propagation algorithm that predicts certain spinal diseases based on some biomechanical properties of the patient to aid in medical diagnosis. |
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| ISSN: | 2305-7254 2343-0737 |