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http://dx.doi.org/10.1097/01.IGC.0000434237.20482.40 | DOI Listing |
Cureus
July 2024
Department of Community Health Physiotherapy, D. Y. Patil School of Physiotherapy, D. Y. Patil University, Navi Mumbai, IND.
Urinary incontinence (UI) is an involuntary leakage of urine and is classified as stress, mixed, or urge. It is more common in females due to anatomical and physiological body differences. Moreover, the literature remarks an evident presence of UI with high-intensity physical activities.
View Article and Find Full Text PDFJ Thromb Haemost
September 2024
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands; Section of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands. Electronic address:
Orthop Traumatol Surg Res
November 2023
Department of Pediatric Surgery, Pellegrin University Hospital, place Amélie-Raba-Léon, 33076 Bordeaux, France.
Introduction: The Caregivers' Priorities and Child Health Index of Life with Disabilities (CPCHILD) is a questionnaire that measures the health-related quality of life (HRQL) of children with cerebral palsy (CP). Though measuring HRQL is challenging in these children, it is a valuable help for medical decision-making. There is no questionnaire to assess HRQL in French-speaking children with severe CP.
View Article and Find Full Text PDFZ Evid Fortbild Qual Gesundhwes
December 2023
Institut für Ethik, Geschichte und Theorie der Medizin der Universität Münster, Münster, Deutschland.
In the third part of our quadripartite series on Paul Martini and his concept of clinical proof we shortly present the mostly procedural elements of his test of treatment. We discuss their causal conduciveness: what do they contribute to infer causality from effect? Finally we comment on some of Martini's epistemological assumptions and methodological decisions that underpin his method of proof.
View Article and Find Full Text PDFArtif Intell Med
September 2023
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address:
Background: DNA methylation biomarkers have great potential in improving prognostic classification systems for patients with cancer. Machine learning (ML)-based analytic techniques might help overcome the challenges of analyzing high-dimensional data in relatively small sample sizes. This systematic review summarizes the current use of ML-based methods in epigenome-wide studies for the identification of DNA methylation signatures associated with cancer prognosis.
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