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Clinical classification in low back pain: best-evidence diagnostic rules based on systematic reviews
Clinical classification in low back pain: best-evidence diagnostic rules based on systematic reviews
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Clinical classification in low back pain: best-evidence diagnostic rules based on systematic reviews

Petersen, Tom ; Laslett, Mark ; Juhl, Carsten

BMC musculoskeletal disorders, 2017-05, Vol.18 (1), p.188-188, Article 188 [Periódico revisado por pares]

England: BioMed Central

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12
A new taxonomy for describing and defining adherence to medications
A new taxonomy for describing and defining adherence to medications
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A new taxonomy for describing and defining adherence to medications

Vrijens, Bernard ; De Geest, Sabina ; Hughes, Dyfrig A. ; Przemyslaw, Kardas ; Demonceau, Jenny ; Ruppar, Todd ; Dobbels, Fabienne ; Fargher, Emily ; Morrison, Valerie ; Lewek, Pawel ; Matyjaszczyk, Michal ; Mshelia, Comfort ; Clyne, Wendy ; Aronson, Jeffrey K. ; Urquhart, J.

British journal of clinical pharmacology, 2012-05, Vol.73 (5), p.691-705 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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13
Learning to improve medical decision making from imbalanced data without a priori cost
Learning to improve medical decision making from imbalanced data without a priori cost
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Learning to improve medical decision making from imbalanced data without a priori cost

Wan, Xiang ; Liu, Jiming ; Cheung, William K ; Tong, Tiejun

BMC medical informatics and decision making, 2014-12, Vol.14 (1), p.111-111, Article 111 [Periódico revisado por pares]

England: BioMed Central Ltd

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14
Mapping of Lymph Node Metastasis From Esophagogastric Junction Tumors: A Prospective Nationwide Multicenter Study
Mapping of Lymph Node Metastasis From Esophagogastric Junction Tumors: A Prospective Nationwide Multicenter Study
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Mapping of Lymph Node Metastasis From Esophagogastric Junction Tumors: A Prospective Nationwide Multicenter Study

Kurokawa, Yukinori ; Takeuchi, Hiroya ; Doki, Yuichiro ; Mine, Shinji ; Terashima, Masanori ; Yasuda, Takushi ; Yoshida, Kazuhiro ; Daiko, Hiroyuki ; Sakuramoto, Shinichi ; Yoshikawa, Takaki ; Kunisaki, Chikara ; Seto, Yasuyuki ; Tamura, Shigeyuki ; Shimokawa, Toshio ; Sano, Takeshi ; Kitagawa, Yuko

Annals of surgery, 2021-07, Vol.274 (1), p.120-127 [Periódico revisado por pares]

United States: Copyright Wolters Kluwer Health, Inc. All rights reserved

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15
Refined Classification of Personnel Costs with the Allocation of an Additional Classification Feature
Refined Classification of Personnel Costs with the Allocation of an Additional Classification Feature
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Refined Classification of Personnel Costs with the Allocation of an Additional Classification Feature

Kuritsyna, Natalia ; Ksenofontova, Ekaterina ; Antipova, Lidia Dvoryadkina, E.B. ; Animitsa, E.G.

SHS Web of Conferences, 2021, Vol.93, p.3002 [Periódico revisado por pares]

Les Ulis: EDP Sciences

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16
Classification of skin lesions using transfer learning and augmentation with Alex-net
Classification of skin lesions using transfer learning and augmentation with Alex-net
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Classification of skin lesions using transfer learning and augmentation with Alex-net

Hosny, Khalid M ; Kassem, Mohamed A ; Foaud, Mohamed M Zhang, Jie

PloS one, 2019-05, Vol.14 (5), p.e0217293-e0217293 [Periódico revisado por pares]

United States: Public Library of Science

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17
Updated terminology of chronic venous disorders: The VEIN-TERM transatlantic interdisciplinary consensus document
Updated terminology of chronic venous disorders: The VEIN-TERM transatlantic interdisciplinary consensus document
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Updated terminology of chronic venous disorders: The VEIN-TERM transatlantic interdisciplinary consensus document

Eklof, Bo, MD, PhD ; Perrin, Michel, MD ; Delis, Konstantinos T., MD, MS, PhD ; Rutherford, Robert B., MD ; Gloviczki, Peter, MD

Journal of vascular surgery, 2009-02, Vol.49 (2), p.498-501 [Periódico revisado por pares]

New York, NY: Mosby, Inc

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18
An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions
An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions
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An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions

Hameed, Nazia ; Hameed, Fozia ; Shabut, Antesar ; Khan, Sehresh ; Cirstea, Silvia ; Hossain, Alamgir

Computers (Basel), 2019-09, Vol.8 (3), p.62 [Periódico revisado por pares]

Basel: MDPI AG

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19
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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20
One single diagnosis, bodily distress syndrome, succeeded to capture 10 diagnostic categories of functional somatic syndromes and somatoform disorders
One single diagnosis, bodily distress syndrome, succeeded to capture 10 diagnostic categories of functional somatic syndromes and somatoform disorders
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One single diagnosis, bodily distress syndrome, succeeded to capture 10 diagnostic categories of functional somatic syndromes and somatoform disorders

Fink, Per ; Schröder, Andreas

Journal of psychosomatic research, 2010-05, Vol.68 (5), p.415-426 [Periódico revisado por pares]

England: Elsevier Inc

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