Ames, C. P. Et Al. 2019. Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value. Spine , vol.44, no.13 , 915-926.

Ames, C. P., Smith, J. S., Pellise, F., Kelly, M., Alanay, A., Acaroglu, E., ... Sanchez Perez-Grueso, F. J.(2019). Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value. Spine , vol.44, no.13, 915-926.

Ames, Christopher Et Al. "Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value," Spine , vol.44, no.13, 915-926, 2019

Ames, Christopher P. Et Al. "Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value." Spine , vol.44, no.13, pp.915-926, 2019

Ames, C. P. Et Al. (2019) . "Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value." Spine , vol.44, no.13, pp.915-926.

@article{article, author={Christopher P. Ames Et Al. }, title={Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value}, journal={Spine}, year=2019, pages={915-926} }