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...

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Main Authors: Yue Wang, Vera Verba, Danil Bezumnov, Elena Tarasenko
Format: Article
Language:English
Published: FRUCT 2019-04-01
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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author Yue Wang
Vera Verba
Danil Bezumnov
Elena Tarasenko
author_facet Yue Wang
Vera Verba
Danil Bezumnov
Elena Tarasenko
author_sort Yue Wang
collection DOAJ
description 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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spelling doaj.art-69f0bbf9cb6445f688865345b2f49dd82022-12-21T20:37:46ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-04-0185424790796Neural Network Using for Prediction Spinal DiseasesYue Wang0Vera Verba1Danil Bezumnov2Elena Tarasenko3Moscow Technical University of Communications and InformaticsMoscow Technical University of Communications and InformaticsMoscow Technical University of Communications and InformaticsNational Research University Higher School of EconomicsSpine 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.https://fruct.org/publications/abstract24/files/Wan.pdf neural networkback propagation algorithmspine diseasedisease prediction
spellingShingle Yue Wang
Vera Verba
Danil Bezumnov
Elena Tarasenko
Neural Network Using for Prediction Spinal Diseases
Proceedings of the XXth Conference of Open Innovations Association FRUCT
neural network
back propagation algorithm
spine disease
disease prediction
title Neural Network Using for Prediction Spinal Diseases
title_full Neural Network Using for Prediction Spinal Diseases
title_fullStr Neural Network Using for Prediction Spinal Diseases
title_full_unstemmed Neural Network Using for Prediction Spinal Diseases
title_short Neural Network Using for Prediction Spinal Diseases
title_sort neural network using for prediction spinal diseases
topic neural network
back propagation algorithm
spine disease
disease prediction
url https://fruct.org/publications/abstract24/files/Wan.pdf
work_keys_str_mv AT yuewang neuralnetworkusingforpredictionspinaldiseases
AT veraverba neuralnetworkusingforpredictionspinaldiseases
AT danilbezumnov neuralnetworkusingforpredictionspinaldiseases
AT elenatarasenko neuralnetworkusingforpredictionspinaldiseases