Articles with "data patients" as a keyword



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Intraocular Lymphoma: Descriptive Data of 26 Patients Including Clinico-pathologic Features, Vitreous Findings, and Treatment Outcomes

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Published in 2018 at "Ocular Immunology and Inflammation"

DOI: 10.1080/09273948.2016.1193206

Abstract: ABSTRACT Purpose: To describe clinical manifestations, diagnostic approaches, therapy, and outcomes of biopsy-proven intraocular lymphoma. Methods: Review of tertiary referral center records between 2005 and 2015. Results: A total of 51 eyes of 26 patients… read more here.

Keywords: lymphoma; lymphoma descriptive; data patients; treatment ... See more keywords
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Interfaces for collecting data from patients: 10 golden rules

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Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"

DOI: 10.1093/jamia/ocz215

Abstract: Memorial Sloan Kettering Cancer Center has more than a decade's experience creating online interfaces for obtaining data from patients as part of routine clinical care. We have developed a set of "golden rules" for design… read more here.

Keywords: data patients; interfaces collecting; golden rules; patients golden ... See more keywords
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INNV-07. TUMOR TREATING FIELDS (TTFIELDS; 200 KHZ) POST-MARKETING SAFETY DATA FROM PATIENTS WITH GLIOBLASTOMA TREATED BETWEEN 2011–2022

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Published in 2022 at "Neuro-Oncology"

DOI: 10.1093/neuonc/noac209.547

Abstract: Tumor Treating Fields therapy (TTFields; 200 kHz) is a noninvasive, locoregional, antimitotic treatment approved for newly diagnosed glioblastoma (ndGBM), recurrent (r) GBM, malignant pleural mesothelioma, and is being investigated in additional solid tumors. Approval in… read more here.

Keywords: safety; 200 khz; ttfields therapy; data patients ... See more keywords
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Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic Cancer.

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Published in 2023 at "JCO clinical cancer informatics"

DOI: 10.1200/cci.22.00125

Abstract: PURPOSE Sensitive patient data cannot be easily shared/analyzed, severely limiting the innovative progress of research, specifically for marginalized/under-represented populations. Existing methods of deidentification are subject to data breaches. The objective of this study was to… read more here.

Keywords: neural network; synthetic data; medical data; metastatic cancer ... See more keywords