CODIFYING UNSTRUCTURED DATA: A NATURAL LANGUAGE PROCESSING APPROACH TO EXTRACT RICH DATA FROM CLINICAL LETTERS

Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

ABSTRACT Objectives Electronic healthcare records (EHR) are the main data sources that facilitate epidemiology research.Routinely collected data such as primary and secondary care are now easily linked to produce novel and high impact research.There are, however, rich data locked in the free text of clinical letters that are not otherwise translate

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Enhanced Yolov8 network with Extended Kalman Filter for wildlife detection and tracking in complex environments

Amid a growing global focus on ecological conservation and biodiversity monitoring, the efficient identification and tracking of wildlife are essential for environmental research, wildlife protection, and habitat management.Nevertheless, intricate landscapes, varied animal sizes, and obstructions obstruct wildlife detection and tracking.This study

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Social and Structural Determinants of HIV Treatment and Care Among Hispanic Women and Latinas Living with HIV Infection in the United States: A Qualitative Review: 2008?2018

Purpose: In 2017, among all women in the United States, Hispanic women and Latinas (Hispanics/Latinas) accounted for 16% of women with HIV.Populations with high HIV disparities, including Hispanics/Latinas, experience treatment and care outcomes that are well below the national goals.The objective of this qualitative review was to identify social a

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