Recent Advances in the Classification and Treatment of Ependymomas
Sign Up to like & getrecommendations! Published in 2017 at "Current Treatment Options in Oncology"
DOI: 10.1007/s11864-017-0496-7
Abstract: Opinion StatementEpendymomas are a subgroup of ependymal glia-derived neoplasms that affect children as well as adults. Arising within any CNS compartment, symptoms at presentation can range from acute onset due to increased intracranial pressure to… read more here.
Keywords: treatment ependymomas; treatment; advances classification; classification treatment ... See more keywords
Reply to ‘Comments on new classification, treatment algorithm and prognosis‐estimating systems for sigmoid volvulus and ileosigmoid knotting: necessity and utility’
Sign Up to like & getrecommendations! Published in 2018 at "Colorectal Disease"
DOI: 10.1111/codi.14286
Abstract: I thank Aksungur and Korkut [1] for their comments on my classification systems [2,3] and I appreciate their interpretations. Firstly, although sigmoid volvulus (SV) and ileosigmoid knotting (ISK) are benign conditions, their prognosis is poor… read more here.
Keywords: treatment algorithm; sigmoid volvulus; ileosigmoid knotting; volvulus ileosigmoid ... See more keywords
RADIOCARPAL FRACTURE DISLOCATIONS: A NEW CLASSIFICATION AND TREATMENT PROPOSAL
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DOI: 10.1590/1413-785220223001e248404
Abstract: ABSTRACT Introduction The radiographic and surgical findings, and treatment of radiocarpal fracture dislocations, were analyzed retrospectively in 40 patients. Materials and Methods All patients were classified according to Dumontier´s radiological classification and compared with the… read more here.
Keywords: classification treatment; radiocarpal fracture; classification; new classification ... See more keywords
The Predictive Validity of Machine Learning Models in the Classification and Treatment of Major Depressive Disorder: State of the Art and Future Directions
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2020.00472
Abstract: Major depressive disorder imposes a substantial disease burden worldwide, ranking as the third leading contributor to global disability. In spite of its ubiquity, classifying and treating depression has proven troublesome. One argument put forward to… read more here.
Keywords: machine; depressive disorder; machine learning; major depressive ... See more keywords