Intelligent framework for diagnosis of frozen shoulder using cross sectional survey and case studies

OBJECTIVES: Frozen shoulder is a disease in which shoulder becomes stiff. Accurate diagnosis of frozen shoulder is helpful in providing economical and effective treatment for patients. This research provides the classification of unstructured data using data mining techniques. Prediction results are...

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Detalles Bibliográficos
Autores principales: Batool, Humaira, Usman Akram, M., Batool, Fouzia, Butt, Wasi Haider
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074930/
https://www.ncbi.nlm.nih.gov/pubmed/27818878
http://dx.doi.org/10.1186/s40064-016-3537-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074930/
https://www.ncbi.nlm.nih.gov/pubmed/27818878
http://dx.doi.org/10.1186/s40064-016-3537-y

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