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Osteoporosis Detection Using Machine Learning Techniques and Feature Selection.

, , and . Int. J. Artif. Intell. Tools, (2014)

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A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System., , , and . IEEE J. Biomed. Health Informatics, 22 (4): 1288-1298 (2018)A Soft Computing Approach for Osteoporosis Risk Factor Estimation., , , , and . AIAI, volume 339 of IFIP Advances in Information and Communication Technology, page 120-127. Springer, (2010)Scalable Object Encoding Using Multiplicative Multilinear Inter-camera Prediction in the Context of Free View 3D Video., and . AIAI (1), volume 381 of IFIP Advances in Information and Communication Technology, page 414-424. Springer, (2012)Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space., , and . ICANN (1), volume 6352 of Lecture Notes in Computer Science, page 500-510. Springer, (2010)ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications., , , , and . J. Electronic Imaging, 4 (1): 84-97 (1995)A non-symbolic implementation of abdominal pain estimation in childhood., , , and . Inf. Sci., 178 (20): 3860-3866 (2008)Osteoporosis Detection Using Machine Learning Techniques and Feature Selection., , and . Int. J. Artif. Intell. Tools, (2014)Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks., , , and . Evol. Syst., 12 (3): 583-590 (2021)A mapping of epilepsy's evolution: implementation of the proposed knowledge based model., , , , , , and . Evol. Syst., 9 (4): 299-313 (2018)Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making., , , , , and . EANN, volume 43 of Communications in Computer and Information Science, page 165-177. (2009)