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Supporting community translation of lung cancer screening: A web-based decision aid to support informed decision making.
Transl Behav Med
January 2025
Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, FL, 33162, USA.
Background: Results of the National Lung Screening Trial create the potential to reduce lung cancer mortality, but community translation of lung cancer screening (LCS) has been challenging. Subsequent policies have endorsed informed and shared decision-making and using decision support tools to support person-centered choices about screening to facilitate implementation. This study evaluated the feasibility and acceptability of LuCaS CHOICES, a web-based decision aid to support delivery of accurate information, facilitate communication skill development, and clarify personal preferences regarding LCS-a key component of high-quality LCS implementation.
View Article and Find Full Text PDFComparison of data augmentation and classification algorithms based on plastic spectroscopy.
Anal Methods
January 2025
Jiangsu Beier Machinery Co. Ltd, Jiangsu, 215600, China.
Plastic waste management is one of the key issues in global environmental protection. Integrating spectroscopy acquisition devices with deep learning algorithms has emerged as an effective method for rapid plastic classification. However, the challenges in collecting plastic samples and spectroscopy data have resulted in a limited number of data samples and an incomplete comparison of relevant classification algorithms.
View Article and Find Full Text PDFReliability, validity, responsiveness and minimal important changes of common clinical standing balance tests in individuals with knee osteoarthritis.
Physiother Theory Pract
January 2025
Department of Orthopaedics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Introduction: Standing balance is essential for physical functioning. Therefore, improving balance control is a key priority in the management of knee osteoarthritis (OA), underscoring the importance of accurately assessing standing balance.
Purpose: To assess reliability, construct validity and responsiveness of common clinical balance tests, including Step Test, Single-Leg Stance Test, and Functional Reach Test, in patients with knee OA.
Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach.
Adv Appl Bioinform Chem
January 2025
Department of Information Technology, Mutah University, Al-Karak, Jordan.
Purpose: The incidence of cancer, which is a serious public health concern, is increasing. A predictive analysis driven by machine learning was integrated with haematology parameters to create a method for the simultaneous diagnosis of several malignancies at different stages.
Patients And Methods: We analysed a newly collected dataset from various hospitals in Jordan comprising 19,537 laboratory reports (6,280 cancer and 13,257 noncancer cases).
Exploring emotional patterns in social media through NLP models to unravel mental health insights.
Healthc Technol Lett
January 2025
This study aimed to develop an advanced ensemble approach for automated classification of mental health disorders in social media posts. The research question was: can an ensemble of fine-tuned transformer models (XLNet, RoBERTa, and ELECTRA) with Bayesian hyperparameter optimization improve the accuracy of mental health disorder classification in social media text. Three transformer models (XLNet, RoBERTa, and ELECTRA) were fine-tuned on a dataset of social media posts labelled with 15 distinct mental health disorders.
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