Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach

R. De Sanctis; A. Viganò; A. Giuliani; A. Gronchi; A. De Paoli; P. Navarria; V. Quagliuolo; A. Santoro; A. Colosimo

doi:10.1155/2018/2786163

Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach

R. De Sanctis, A. Viganò, A. Giuliani, A. Gronchi, A. De Paoli, P. Navarria, V. Quagliuolo, A. Santoro, A. Colosimo

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Journal	BioMed Research International
Volume	2018
DOIs	https://doi.org/10.1155/2018/2786163
Publication status	Published - 2018

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10.1155/2018/2786163

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046719435&doi=10.1155%2f2018%2f2786163&partnerID=40&md5=a15e88ffc5844eef52d4f6fdd69395b5

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De Sanctis, R., Viganò, A., Giuliani, A., Gronchi, A., De Paoli, A., Navarria, P., Quagliuolo, V., Santoro, A., & Colosimo, A. (2018). Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach. BioMed Research International, 2018. https://doi.org/10.1155/2018/2786163

Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach. / De Sanctis, R.; Viganò, A.; Giuliani, A.; Gronchi, A.; De Paoli, A.; Navarria, P.; Quagliuolo, V.; Santoro, A.; Colosimo, A.

In: BioMed Research International, Vol. 2018, 2018.

Research output: Contribution to journal › Article › peer-review

De Sanctis, R, Viganò, A, Giuliani, A , Gronchi, A, De Paoli, A, Navarria, P , Quagliuolo, V , Santoro, A & Colosimo, A 2018, 'Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach', BioMed Research International, vol. 2018. https://doi.org/10.1155/2018/2786163

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AU - Colosimo, A.

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