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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Cyanotoxins and Food Contamination in Developing Countries: Review of Their Types, Toxicity, Analysis, Occurrence and Mitigation Strategies

Cyanotoxins have gained global public interest due to their potential to bioaccumulate in food, which semi pendant threatens human health.Bloom formation is usually enhanced under Mediterranean, subtropical and tropical climates which are the dominant climate types in developing countries.In this context, we present an up-to-date overview of cyanot

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A comprehensive review of integrating biostimulants and biopesticides for organic berry farming: exploring challenges and opportunities for Africa

Agriculture plays a pivotal role in Africa, contributing significantly to sustainable farming practices and the establishment of resilient food systems.Within this context, the use of various types of biostimulants, including microbial biostimulants such as Plant Growth-Promoting microorganisms (PGPM) and non-microbial products 9002nc like Algal ex

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