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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
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
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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

Ames, Christopher P ; Smith, Justin S ; Pellisé, Ferran ; Kelly, Michael ; Alanay, Ahmet ; Acaroğlu, Emre ; Pérez-Grueso, Francisco Javier Sánchez ; Kleinstück, Frank ; Obeid, Ibrahim ; Vila-Casademunt, Alba ; Shaffrey, Jr, Christopher I ; Burton, Douglas ; Lafage, Virginie ; Schwab, Frank ; Shaffrey, Sr, Christopher I ; Bess, Shay ; Serra-Burriel, Miquel

Spine (Philadelphia, Pa. 1976), 2019-07, Vol.44 (13), p.915 [Periódico revisado por pares]

United States

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12
Development of a New Classification System for Idiopathic Inflammatory Myopathies Based on Clinical Manifestations and Myositis-Specific Autoantibodies
Development of a New Classification System for Idiopathic Inflammatory Myopathies Based on Clinical Manifestations and Myositis-Specific Autoantibodies
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Development of a New Classification System for Idiopathic Inflammatory Myopathies Based on Clinical Manifestations and Myositis-Specific Autoantibodies

Mariampillai, Kubéraka ; Granger, Benjamin ; Amelin, Damien ; Guiguet, Marguerite ; Hachulla, Eric ; Maurier, François ; Meyer, Alain ; Tohmé, Aline ; Charuel, Jean-Luc ; Musset, Lucile ; Allenbach, Yves ; Benveniste, Olivier

JAMA neurology, 2018-12, Vol.75 (12), p.1528-1537 [Periódico revisado por pares]

United States: American Medical Association

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13
The classification of feeding and eating disorders in the ICD-11: results of a field study comparing proposed ICD-11 guidelines with existing ICD-10 guidelines
The classification of feeding and eating disorders in the ICD-11: results of a field study comparing proposed ICD-11 guidelines with existing ICD-10 guidelines
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The classification of feeding and eating disorders in the ICD-11: results of a field study comparing proposed ICD-11 guidelines with existing ICD-10 guidelines

Claudino, Angélica M ; Pike, Kathleen M ; Hay, Phillipa ; Keeley, Jared W ; Evans, Spencer C ; Rebello, Tahilia J ; Bryant-Waugh, Rachel ; Dai, Yunfei ; Zhao, Min ; Matsumoto, Chihiro ; Herscovici, Cecile Rausch ; Mellor-Marsá, Blanca ; Stona, Anne-Claire ; Kogan, Cary S ; Andrews, Howard F ; Monteleone, Palmiero ; Pilon, David Joseph ; Thiels, Cornelia ; Sharan, Pratap ; Al-Adawi, Samir ; Reed, Geoffrey M

BMC medicine, 2019-05, Vol.17 (1), p.93-17, Article 93 [Periódico revisado por pares]

England: BioMed Central Ltd

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14
Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images
Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images
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Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images

Wei, Xi ; Gao, Ming ; Yu, Ruiguo ; Liu, Zhiqiang ; Gu, Qing ; Liu, Xun ; Zheng, Zhiming ; Zheng, Xiangqian ; Zhu, Jialin ; Zhang, Sheng

Medical science monitor, 2020-06, Vol.26, p.e926096

United States

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15
Do patients with axial spondyloarthritis with radiographic sacroiliitis fulfil both the modified New York criteria and the ASAS axial spondyloarthritis criteria? Results from eight cohorts
Do patients with axial spondyloarthritis with radiographic sacroiliitis fulfil both the modified New York criteria and the ASAS axial spondyloarthritis criteria? Results from eight cohorts
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Do patients with axial spondyloarthritis with radiographic sacroiliitis fulfil both the modified New York criteria and the ASAS axial spondyloarthritis criteria? Results from eight cohorts

Boel, Anne ; Molto, Anna ; van der Heijde, Désirée ; Ciurea, Adrian ; Dougados, Maxime ; Gensler, Lianne S ; Santos, Maria-José ; De Miguel, Eugenio ; Poddubnyy, Denis ; Rudwaleit, Martin ; van Tubergen, Astrid ; van Gaalen, Floris A ; Ramiro, Sofia

Annals of the rheumatic diseases, 2019-11, Vol.78 (11), p.1545-1549 [Periódico revisado por pares]

England: BMJ Publishing Group LTD

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16
The Amyloid, Tau, and Neurodegeneration (A/T/N) Classification Applied to a Clinical Research Cohort with Long-Term Follow-Up
The Amyloid, Tau, and Neurodegeneration (A/T/N) Classification Applied to a Clinical Research Cohort with Long-Term Follow-Up
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The Amyloid, Tau, and Neurodegeneration (A/T/N) Classification Applied to a Clinical Research Cohort with Long-Term Follow-Up

Grøntvedt, Gøril Rolfseng ; Lauridsen, Camilla ; Berge, Guro ; White, Linda R ; Salvesen, Øyvind ; Bråthen, Geir ; Sando, Sigrid Botne

Journal of Alzheimer's disease, 2020-01, Vol.74 (3), p.829-837 [Periódico revisado por pares]

Netherlands: IOS Press BV

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17
Genome-wide Association Study of Periodontal Pathogen Colonization
Genome-wide Association Study of Periodontal Pathogen Colonization
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Genome-wide Association Study of Periodontal Pathogen Colonization

Divaris, K. ; Monda, K.L. ; North, K.E. ; Olshan, A.F. ; Lange, E.M. ; Moss, K. ; Barros, S.P. ; Beck, J.D. ; Offenbacher, S.

Journal of dental research, 2012-07, Vol.91 (7_suppl), p.S21-S28 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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18
Predicting Long-Term Outcomes in First-Admission Psychosis: Does the Hierarchical Taxonomy of Psychopathology Aid DSM in Prognostication?
Predicting Long-Term Outcomes in First-Admission Psychosis: Does the Hierarchical Taxonomy of Psychopathology Aid DSM in Prognostication?
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Predicting Long-Term Outcomes in First-Admission Psychosis: Does the Hierarchical Taxonomy of Psychopathology Aid DSM in Prognostication?

Martin, Elizabeth A ; Jonas, Katherine G ; Lian, Wenxuan ; Foti, Dan ; Donaldson, Kayla R ; Bromet, Evelyn J ; Kotov, Roman

Schizophrenia bulletin, 2021-08, Vol.47 (5), p.1331-1341 [Periódico revisado por pares]

US: Oxford University Press

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19
Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis
Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis
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Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis

Keenan, Brendan T ; Kim, Jinyoung ; Singh, Bhajan ; Bittencourt, Lia ; Chen, Ning-Hung ; Cistulli, Peter A ; Magalang, Ulysses J ; McArdle, Nigel ; Mindel, Jesse W ; Benediktsdottir, Bryndis ; Arnardottir, Erna Sif ; Prochnow, Lisa Kristin ; Penzel, Thomas ; Sanner, Bernd ; Schwab, Richard J ; Shin, Chol ; Sutherland, Kate ; Tufik, Sergio ; Maislin, Greg ; Gislason, Thorarinn ; Pack, Allan I

Sleep (New York, N.Y.), 2018-03, Vol.41 (3) [Periódico revisado por pares]

US: Oxford University Press

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20
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Phan, Huy ; Andreotti, Fernando ; Cooray, Navin ; Chen, Oliver Y. ; De Vos, Maarten

IEEE transactions on biomedical engineering, 2019-05, Vol.66 (5), p.1285-1296 [Periódico revisado por pares]

United States: IEEE

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Deste Autor:

  1. Manganote, E
  2. Staut, L
  3. Henry, M
  4. Rizzi, C
  5. Viterbo, F

Neste Assunto:

  1. Middle Aged
  2. Middle Aged
  3. Humans
  4. Science & Technology
  5. Female

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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