The performance of 23 patients with moderate-severe traumatic brain injury on the California Verbal Learning Test, Second Edition (CVLT-II; Delis et al., 2000) was compared with that of 23 matched healthy controls to determine whether recall discriminability indices, which take into account both correct target recall and intrusive errors, would provide better diagnostic classification than traditional variables that are based exclusively on correct recall. Patients with traumatic brain injury recalled fewer correct words, and also made more intrusive errors, on CVLT-II short and long delay, free and cued recall trials (p < .02 for all variables after Stepdown Bonferroni correction). However, recall discriminability indices yielded a classification of clinical versus control participants (72%) that was not significantly different from one based on traditional variables (74%). We conclude that CVLT-II recall discriminability indices do not routinely provide an advantage over traditional variables in patients with traumatic brain injury.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1017/S1355617707070439 | DOI Listing |
Foods
January 2025
College of Biosystems Engineering and Food Science, Key Laboratory of Agro-Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
Volatile organic compounds (VOCs) are closely associated with the maturity and variety of strawberries. However, the complexity of VOCs hinders their potential application in strawberry classification. This study developed a novel classification workflow using strawberry VOC profiles and machine learning (ML) models for precise fruit classification.
View Article and Find Full Text PDFDiscov Med
January 2025
Science and Education Department, Zibo Orthopedic Hospital, 255040 Zibo, Shandong, China.
Background: Osteoporotic fractures (OPF) pose a public health issue, imposing significant burdens on families and societies worldwide. Currently, there is a lack of comprehensive and validated risk assessment models for OPF. This study aims to develop a model to assess and predict the risk of OPF in Qingdao City, China.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, Fujian, China.
Background: Depression is being increasingly acknowledged as an important risk factor contributing to coronary heart disease (CHD). Currently, there is no predictive model specifically designed to evaluate the risk of coronary heart disease among individuals with depression. We aim to develop a machine learning (ML) model that will analyze risk factors and forecast the probability of coronary heart disease in individuals suffering from depression.
View Article and Find Full Text PDFJ Educ Health Promot
December 2024
Department of Internal Medicine, Shri MP Shah Medical College Gujarat, India.
Background: Accurate determination of infant mortality causes and understanding sociocultural factors influencing care-seeking behaviors are crucial for targeted interventions in resource-limited settings. This mixed-methods study aimed to assess the accuracy of verbal autopsy (VA) in ascertaining infant death causes and explore sociocultural determinants of infant mortality in Gujarat, India.
Materials And Methods: It was a mixed-method study with a retrospective cohort component for which data from 661 infant records were extracted from the main health office's database, with a subset of 328 infant deaths selected for verbal autopsy analysis.
Food Res Int
February 2025
Department of Food Science & Technology, University of California-Davis, Davis, CA 95616, USA; Department of Biological & Agricultural Engineering, University of California-Davis, Davis, CA 95616, USA. Electronic address:
Diverse species of yeasts are commonly associated with food and food production environments. The contamination of food products by spoilage yeasts poses significant challenges, leading to quality degradation and food loss. Similarly, the introduction of undesirable strains during fermentation can cause considerable challenges with the quality and progress of the fermentation process.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!