Care home resident identification: A comparison of address matching methods with Natural Language Processing.

Background: Care home residents are a highly vulnerable group, but identifying care home residents in routine data is challenging. This study aimed to develop and validate Natural Language Processing (NLP) methods to identify care home residents from primary care address records.

Methods: The proposed system applies an NLP sequential filtering and preprocessing of text, then the calculation of similarity scores between general practice (GP) addresses and care home registered addresses.

A single phosphorylatable amino acid residue is essential for the recognition of multiple potyviral HCPro effectors by potato Ny.

Potato virus Y (PVY, Potyviridae) is among the most important viral pathogens of potato. The potato resistance gene Ny confers hypersensitive resistance to the ordinary strain of PVY (PVY), but not the necrotic strain (PVY). Here, we unveil that residue 247 of PVY helper component proteinase (HCPro) acts as a central player controlling Ny strain-specific activation.

Acceptability and feasibility of a group-based intervention to improve outcomes for children at risk for developmental delays in Kenya: A piloted randomized trial.

The Care for Child Development (CCD) program may improve child development outcomes in resource-limited settings, but has not yet been adapted to group-based settings to facilitate sustainable dissemination. In this study, we determined the acceptability and feasibility of a group-based CCD program, with evaluation of program outcomes for child development, home environment, and symptoms of maternal depression as secondary outcomes. We evaluated this adapted program using a 2 × 2 crossover-designed pilot study administered over 10 bi-weekly sessions.

Can GPT-3.5 generate and code discharge summaries?

Objectives: The aim of this study was to investigate GPT-3.5 in generating and coding medical documents with International Classification of Diseases (ICD)-10 codes for data augmentation on low-resource labels.

Materials And Methods: Employing GPT-3.