Zobrazeno 1 - 10
of 5 185
pro vyhledávání: '"Clinical data"'
Autor:
Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Adriano Chió, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello, Nicola Ferro
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-28 (2024)
Abstract Automatic disease progression prediction models require large amounts of training data, which are seldom available, especially when it comes to rare diseases. A possible solution is to integrate data from different medical centres. Neverthel
Externí odkaz:
https://doaj.org/article/011335de1b1f4ba89b746177d99a618b
Autor:
Jakob Vielhauer, Ujjwal Mukund Mahajan, Kristina Adorjan, Christopher Benesch, Bettina Oehrle, Georg Beyer, Simon Sirtl, Anna-Lena Johlke, Julian Allgeier, Anna Pernpruner, Johanna Erber, Parichehr Shamsrizi, Christian Schulz, Fady Albashiti, Ludwig Christian Hinske, Julia Mayerle, Hans Christian Stubbe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Our prototype system designed for clinical data acquisition and recording of studies is a novel electronic data capture (EDC) software for simple and lightweight data capture in clinical research. Existing software tools are either costly or
Externí odkaz:
https://doaj.org/article/b8bfe437254d4bc4813ae7c6e8bf3234
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1798-1817 (2024)
In medicine, dynamic treatment regimes (DTRs) have emerged to guide personalized treatment decisions for patients, accounting for their unique characteristics. However, existing methods for determining optimal DTRs face limitations, often due to reli
Externí odkaz:
https://doaj.org/article/777d818e90b34b589d3ffecd785054c2
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-15 (2024)
Abstract Objective To investigate the association between liver enzymes and ovarian cancer (OC), and to validate their potential as biomarkers and their mechanisms in OC. Methods Genome-wide association studies for OC and levels of enzymes such as Al
Externí odkaz:
https://doaj.org/article/3ea885ba8d8541fcb9e1be59a7162df8
Autor:
Kenton R. Kaufman, PhD, PE, Kathie Bernhardt, MBA, Shawn Murphy, BS, PMP, Marah Archer, MBA, CAPM, Jeffrey M. Brandt, CPO, Leon Bowman, XX, Bart Phillips, MS
Publikováno v:
Archives of Rehabilitation Research and Clinical Translation, Vol 6, Iss 3, Pp 100356- (2024)
Objective: To describe the development of a national Limb Loss and Preservation Registry (LLPR) designed to collect, standardize, and report patient outcomes data on limb loss and limb difference in the United States. Design: Clinical Data Registry S
Externí odkaz:
https://doaj.org/article/4901e66ee6974335aa9c453b1048c05d
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 67 (2024)
Abstract The global spread of Coronavirus Disease 2019 (COVID-19) has resulted in an extensive pandemic, with the virus rapidly transmitting through interactions among infected individuals, presenting a substantial threat to healthcare professionals.
Externí odkaz:
https://doaj.org/article/56a476b128054f1da090ba9722a44906
Autor:
Elena Panizza, Richard A. Cerione
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Alzheimer’s disease (AD) is the leading neurodegenerative pathology in aged individuals, but many questions remain on its pathogenesis, and a cure is still not available. Recent research efforts have generated measurements of multiple omics in indi
Externí odkaz:
https://doaj.org/article/8496a171be5a4a59ba03f7f8e1bf4825
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200416- (2024)
Medical research plays a crucial role within scientific research. Technological advancements, especially those related to the rise of machine learning, pave the way for the exploration of medical issues that were once beyond reach. Unstructured textu
Externí odkaz:
https://doaj.org/article/1ce30d77e734406f8b749bab062c0b7a
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Securing adequate data privacy is critical for the productive utilization of data. De-identification, involving masking or replacing specific values in a dataset, could damage the dataset’s utility. However, finding a reasonable
Externí odkaz:
https://doaj.org/article/9e3e5e59bb7348ec8dcb47de9e852237
Autor:
Viorel Alexandrescu, Bogdan-Ioan Coculescu, Mihaela Lazar, Marina Pana, Odette Popovici, Rodica Popescu
Publikováno v:
Romanian Journal of Infectious Diseases, Vol 27, Iss 1, Pp 57-65 (2024)
Syndromic surveillance was initially developed for early detection compared to traditional methods of an epidemiological event with an impact on public health, but as it was applied by more countries it was observed that it can provide information o
Externí odkaz:
https://doaj.org/article/56df627977334be69d0f24de707f55a8