Zobrazeno 1 - 10
of 5 111
pro vyhledávání: '"clinical data"'
Autor:
David Cheng-Zarate, James Burns, Cathy Ngo, Agnes Haryanto, Gregory Duncan, David Taniar, Michael Wybrow
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Blood management is an important aspect of healthcare and vital for the well-being of patients. For effective blood management, it is essential to determine the quality and documentation of the processes for blood transfusions in
Externí odkaz:
https://doaj.org/article/1d20b96f0bb74c248e94820e848de7f1
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse
Autor:
Lena Baum, Armin Müller, Marco Johns, Hammam Abu Attieh, Mehmed Halilovic, Vladimir Milicevic, Diogo Telmo Neves, Karen Otte, Anna Pasquier, Felix Nikolaus Wirth, Patrick Segelitz, Katharina Schönrath, Joachim E. Weber, Fabian Prasser
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Clinical data warehouses provide harmonized access to healthcare data for medical researchers. Informatics for Integrating Biology and the Bedside (i2b2) is a well-established open-source solution with the major benefit that data
Externí odkaz:
https://doaj.org/article/320386ca432c49f69c3323fb59e7c003
Autor:
Anders Lenskjold, Mathias W Brejnebøl, Martin H Rose, Henrik Gudbergsen, Akshay Chaudhari, Anders Troelsen, Anne Moller, Janus U Nybing, Mikael Boesen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Humans have been shown to have biases when reading medical images, raising questions about whether humans are uniform in their disease gradings. Artificial intelligence (AI) tools trained on human-labeled data may have inherent human non-uni
Externí odkaz:
https://doaj.org/article/777a5ee5c71a484d8c14dd0bc0984458
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:
Mathematical Biosciences and Engineering, Vol 21, Iss 7, Pp 6603-6607 (2024)
Externí odkaz:
https://doaj.org/article/a2c276381d7a4406828eab8cf7448c87
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:
Daniel I. Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e38642- (2024)
COVID-19 is an infectious disease that caused a global pandemic in 2020. In the critical moments of this healthcare emergencies, the medical staff needs to take important decisions in a context of limited resources that must be carefully managed. To
Externí odkaz:
https://doaj.org/article/09fae7192f1a4158afb73abe068a6bb2
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