AIMC Topic: Data Management

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A systematic review on natural language processing systems for eligibility prescreening in clinical research.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency of eligibility prescreening during the clinical research recruitment process.

Extracting social determinants of health from electronic health records using natural language processing: a systematic review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcom...

Understanding the Gap Between Information Models and Realism-Based Ontologies Using the Generic Component Model.

Studies in health technology and informatics
The wide-spread use of Common Data Models and information models in biomedical informatics encourages assumptions that those models could provide the entirety of what is needed for knowledge representation purposes. Based on the lack of computable se...

Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases.

Briefings in bioinformatics
This article describes some use case studies and self-assessments of FAIR status of de.NBI services to illustrate the challenges and requirements for the definition of the needs of adhering to the FAIR (findable, accessible, interoperable and reusabl...

Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment.

BMJ health & care informatics
There is much discussion concerning 'digital transformation' in healthcare and the potential of artificial intelligence (AI) in healthcare systems. Yet it remains rare to find AI solutions deployed in routine healthcare settings. This is in part due ...

Predicting candidate genes from phenotypes, functions and anatomical site of expression.

Bioinformatics (Oxford, England)
MOTIVATION: Over the past years, many computational methods have been developed to incorporate information about phenotypes for disease-gene prioritization task. These methods generally compute the similarity between a patient's phenotypes and a data...

Teledermatology in 2020: past, present and future perspectives.

Italian journal of dermatology and venereology
Born in 1995, teledermatology (TD) turns 25 years old today. Since then, TD evolved according to patients and physicians needs. The present review aimed to summarize all the efforts and experiences carried out in the field of TD and its subspecialtie...

UMLS-based data augmentation for natural language processing of clinical research literature.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The study sought to develop and evaluate a knowledge-based data augmentation method to improve the performance of deep learning models for biomedical natural language processing by overcoming training data scarcity.

Application of Bayesian networks to generate synthetic health data.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This study seeks to develop a fully automated method of generating synthetic data from a real dataset that could be employed by medical organizations to distribute health data to researchers, reducing the need for access to real data. We h...

Prediction of age and sex from paranasal sinus images using a deep learning network.

Medicine
This study was conducted to develop a convolutional neural network (CNN)-based model to predict the sex and age of patients by identifying unique unknown features from paranasal sinus (PNS) X-ray images.We employed a retrospective study design and us...