Internet has become a major information source, yet little is known about why women use the internet for obtaining health information. In this paper, we propose and test three exploratory models to explain internet use for obtaining health information: health and wellness model, health needs model, and search costs model. The health and wellness model is based on the notion that internet has become such an integral part of daily life that health-conscious women use the internet in a pro-active manner for health promotion. The health needs model posits that women with greater health needs or concerns are more likely to use the internet. Finally, the search costs model explores the idea that women may view the internet as a resource for reducing high information search costs. These models were tested using data collected through telephone surveys of women in three southern New Jersey counties in the USA. Consistent with expectations, our findings show that internet use to search for health information is greater among women with higher levels of income and education. There is support for all three models, with surprisingly strong support for the health and wellness model. We conclude that women increasingly rely on the internet to supplement health information received from traditional sources and discuss the implications of our findings for policymakers and health professions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/s0277-9536(02)00019-9 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFThe 18 Workshop on Recent Issues in Bioanalysis (18 WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18 WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFJ Sports Sci
January 2025
Department of Tourism, Sport and Society, Lincoln University, Christchurch, New Zealand.
This study investigates the effectiveness of blood flow restriction (BFR) training in maintaining athletic performance during a taper phase in basketball players. The taper phase aims to reduce external load while maintaining training intensity. Seventeen experienced basketball players were randomised into two groups: a placebo group ( = 8, 22.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!