Proposed Design for Future Ailment Prediction using Posture Mapping
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Abstract
E-Health is a blooming flower in the fields of medical informatics, public health and business, referring to health services and information delivered or enhanced through the Internet and related technologies. Posture has a dramatic effect on health. When a bad posture is intentionally or unintentionally repeated, body’s structure slowly changes and adapts to it, resulting in misalignment and pain, but it is often unclear which specific posture causes most problems and which mechanisms underlie the pain. In order to increase the knowledge in this field, it is crucial to analyze, different postures. The aim of this study is therefore to test the reliability of using such a system to assess various postures and make an efficient mapping of the postures of a person and the possible effects on health they may lead to in the future. The era of machine learning and data analytics have now made it possible to make an efficient mapping of the postures of a person and the possible effects on health they may lead to in the future. This can be of invaluable help to various classes of users ranging from General Practitioners to Orthopedic surgeons. The prediction of possible future ailments can also help to warn people well in advance about the problems they might be inviting due to their prolonged incorrect postures. The result and analysis can be shown to different users through graphical and multimedia features. This can include visualization tool such are bar graph, pie chart, histogram, curves etc.
Keywords: ailment prediction, back-propagation neural network, e-health, posture analysis, predictive diagnosis, musculoskeletal
Keywords: ailment prediction, back-propagation neural network, e-health, posture analysis, predictive diagnosis, musculoskeletal
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