2,693 papers found

A considerable effort has been devoted to retrieve systematically information for genes and proteins as well as relationships between them. Despite the importance of chemical compounds and drugs as a central bio-entity in pharmacological and biological research, only a limited number of freely available chemical text-m…

BACKGROUND: The use of text messaging is nearly ubiquitous and represents a promising method of collecting data from diverse populations. INTRODUCTION: The purpose of this study was to assess the feasibility and acceptability of text message surveys in a clinical setting and to describe key lessons to minimize attriti…

Here, we illustrate the clinical and technical implementation of interoperable health data for direct care from the viewpoint of practicing clinicians using examples from primary care. Interoperability allows people involved in the provision and receipt of care to seamlessly exchange and use the coded, free text and do…

BACKGROUND: Efficient generation of structured dose instructions that enable researchers to calculate drug exposure is central to pharmacoepidemiology studies. Our aim was to design and test an algorithm to codify dose instructions, applied to the NHS Scotland Prescribing Information System (PIS) that records about 100…

Even though high-quality X- and gamma rays with photon energy below mega-electron volt (MeV) are available from large-scale X-ray free electron lasers and synchrotron radiation facilities, it remains a great challenge to generate bright gamma rays over 10 MeV. Recently, gamma rays with energies up to the MeV level were…

BACKGROUND: In patients with hypoalbuminemia after craniotomy, total serum concentrations of valproic acid (VPA) may provide poor clinical insights, owing to saturated protein binding and increased unbound fractions. However, very few clinical laboratories routinely analyze free concentrations of the drug. The aim of t…

OBJECTIVES: We aimed to develop and evaluate an algorithm for automatically screening citations when updating living network meta-analysis (NMA). STUDY DESIGN AND SETTING: Our algorithm learns from the initial screening of citations conducted when creating an NMA to automatically identify eligible citations (i.e., nee…

OBJECTIVE: Mobile health (mHealth) interventions show potential to broaden the reach of efficacious alcohol brief motivational interventions (BMIs). However, efficacy is mixed and may be limited by low participant attention and engagement. The present study examined the feasibility, acceptability, and preliminary effic…

BACKGROUND: In recent years high throughput methods have led to a massive expansion in the free text literature on molecular biology. Automated text mining has developed as an application technology for formalizing this wealth of published results into structured database entries. However, database curation as a task i…

Systematic reviews (SRs) contribute to implementing the 3Rs in preclinical research. With the ever-increasing amount of scientific literature, SRs require increasing time investment. Thus, using the most efficient review tools is essential. Most available software tools aid the screening process; tools for data extract…

Quality improvement activities in healthcare are limited by the substantial time burden associated with manual clinical text review. To address this limitation within an established hospital discharge summary improvement project, we aimed to automate quality monitoring using large language models. Models were trained t…

The ENN sleep atlas and database was set up on a dedicated server connected to the internet thus providing all services such as WWW, ftp and telnet access. The database serves as a platform to promote the goals of the European Neurological Network, to exchange patient cases for second opinion between experts and to cre…

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a life-threatening lung disorder whose recent prevalence has led to an increasing burden on public healthcare. Phenotypic information in electronic clinical records is essential in providing suitable personalised treatment to patients with COPD. However, as ph…

Recent advances in deep learning have enabled prediction of odorant perception from molecular structure, opening new avenues for odor classification. However, most existing models are limited to predicting percepts from fixed vocabularies and fail to capture the full richness of olfactory experience. Progress is furthe…

Syndromic surveillance systems that incorporate electronic free-text data have primarily focused on extracting concepts of interest from chief complaint text, emergency department visit notes, and nurse triage notes. Due to availability and access, there has been limited work in the area of surveilling the full text of…

INTRODUCTION: Vascularized free fibula flap is one of the commonly used flaps in autologous soft-tissue and osseous reconstructions in the modern era. While there is abundant literature available on the variable branching pattern and course of the popliteal artery, tibial arteries, and dorsalis pedis artery, there is a…

Automated condition monitoring of railway switches and crossings (S&C) requires classification models whose reported accuracy reflects genuine generalization rather than evaluation artefacts. This paper presents a methodologically rigorous, leak-free machine-learning framework for vibration-based event classification,…

BACKGROUND: Hybrid and gold open-access (OA) are common publishing models. The latter requires fees to allow full-text visibility, whereas hybrid journals offer the option to publish gold OA or for free (subscription-based) where users with access can get the full-text. We evaluated the association of the publishing mo…

BACKGROUND: Scientific literature carries a wealth of information crucial for research, but only a fraction of it is present as structured information in databases and therefore can be analyzed using traditional data analysis tools. Natural language processing (NLP) is often and successfully employed to support humans…

BACKGROUND AND SIGNIFICANCE: Sparsity is often a desirable property of statistical models, and various feature selection methods exist so as to yield sparser and interpretable models. However, their application to biomedical text classification, particularly to mortality risk stratification among intensive care unit (I…