Any figure in a research article will typically represent only a small portion of the total data gained by a researcher for that experiment, and it is therefore key that the figure accurately reflects what was found overall. Furthermore, if individual observations form clusters with differing mean properties, those individual observations would not represent independent samples from the populations being compared. In this example, the question of how to fairly represent and treat image data is addressed.
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http://dx.doi.org/10.1186/s12915-016-0307-9 | DOI Listing |
J Med Internet Res
January 2025
Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London, United Kingdom.
Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Cystic Fibrosis Center, Department of Internal Medicine, Hospices Civils de Lyon, Research on Healthcare Performance U1290 Inserm, Lyon 1 University, Lyon, France.
Background: Diabetes affects half of the patients with cystic fibrosis who are aged 30 years and older. Diabetes progresses asymptomatically over a long period of time. Two treatment options are possible: start insulin as soon as cystic fibrosis diagnosis is made with the additional constraints of cystic fibrosis or wait while monitoring the patient's clinical condition and start insulin when diabetes symptoms develop and therefore later.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFJ Nurs Res
February 2025
Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
Background: Critical illness not only threatens the life of the patient but also may profoundly impact the lives of their loved ones. For teenagers with a critically ill parent, these impacts may have significant, developmentally impactful effects. A descriptive understanding of these effects may advance scholarly understanding of the challenges these teenagers face.
View Article and Find Full Text PDFActa Bioeng Biomech
June 2024
1Department of Rehabilitation Medicine, Southern Medical University Nanfang Hospital, Guangzhou, China.
: The purpose of this study was to quantify the impact of smartphone use while sitting on the toilet on the spinal flexion angles and the time effect. : Measurements of the spinal flexion angles in the sagittal plane were made by thirty participants while they sat on the toilet for 10 min, using a smartphone in either one, both, or neither hand. The individual's forehead, cervical, thoracic and lumbar spinal areas were each fitted with five different inertial motion sensors.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!