Publications by authors named "V Dinu"
Natural language processing data services for healthcare providers.
BMC Med Inform Decis Mak
November 2024
Article Synopsis
- The review emphasizes the necessity of integrating machine learning workflows into hospital settings to align with clinical practices and real-world data.
- The paper discusses the development and implementation of a novel clinical NLP service within the UK's National Health Service, focusing on creating a framework to incorporate expert clinical insight into NLP models.
- The project has generated over 26,000 annotations and demonstrated various clinical uses of named entity recognition, suggesting that NLP services will soon be essential in healthcare.
Article Synopsis
- The study examined the results of sequential pars plana vitrectomy for treating retinal detachment with macular holes in non-highly myopic patients from 2017 to 2023.
- Out of 980 patients, 10 underwent this two-step surgical process, which included repairing the retinal detachment followed by macular hole closure using a specific technique, leading to high rates of success.
- The findings showed a 90% initial retinal reattachment rate, 100% after the second surgery, complete macular hole closure in all cases, and a significant improvement in visual acuity after treatment.
Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries.
BMC Med Inform Decis Mak
September 2024
Background: The aim is to develop and deploy an automated clinical alert system to enhance patient care and streamline healthcare operations. Structured and unstructured data from multiple sources are used to generate near real-time alerts for specific clinical scenarios, with an additional goal to improve clinical decision-making through accuracy and reliability.
Methods: The automated clinical alert system, named Smart Watchers, was developed using Apache NiFi and Python scripts to create flexible data processing pipelines and customisable clinical alerts.
Purpose: To evaluate the repeatability of automatic measurements of a new anterior segment optical coherence tomographer (ANTERION; Heidelberg Engineering) and their agreement with an anterior segment optical coherence tomography device combined with Placido disc corneal topography (MS-39; CSO) in patients affected by keratoconus.
Methods: Fifty-four consecutive patients were included. Three measurements were performed with the ANTERION and one with the MS-39.
Dyslexia is a learning disability that negatively affects reading, writing, and spelling development at the word level in 5%-9% of children. The phenotype is variable and complex, involving several potential cognitive and physical concomitants such as sensory dysregulation and immunodeficiencies. The biological pathogenesis is not well-understood.
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