Academic Articles & Research Papers

The Comparability of Men Who Have Sex With Men Recruited From Venue-Time-Space Sampling and Facebook: A Cohort Study

BackgroundRecruiting valid samples of men who have sex with men (MSM) is a key component of the US human immunodeficiency virus (HIV) surveillance and of research studies seeking to improve HIV prevention for MSM. Social media, such as Face...

Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment

BackgroundeHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical ...

Medical Informatics Europe 84

Reflections Towards the Future of Medical Informatics

OBJECTIVE: To provide guidance on the future development and role of medical informatics, or biomedical and health informatics, in form of reflections. METHOD: To report on the author's previous activities as a medical informatician, which ...

SAP BusinessObjects in Medical Informatics

Electronic health record (EHR) generates a large amount of data filled with opportunities to enhance documentation compliance, quality improvement, and other metrics. Various software tools exist, but many clinicians are unaware of them. Ou...

Medical informatics: where are we in 2002?

Medical Informatics embodies two rather broad domains: “medical” and “informatics.” As described by the American Medical Informatics Association, “Medical informatics has to do with all aspects of understanding and promoting the effective o...

Medical Informatics Education in Bosnia and Herzegovina

Abstract: Medical informatics, as a separate medical discipline, is quickly developing in our country, both in Bosnia and Herzegovina. In our country, medical informatics has been a separate subject for the last ten years with regard to Med...

Hackathons as Stepping Stones in Health Care Innovation: Case Study With Systematic Recommendations

BackgroundUntil recently, developing health technologies was time-consuming and expensive, and often involved patients, doctors, and other health care professionals only as passive recipients of the end product. So far, users have been mini...

Demonstration of high value care to improve oral health of a remote Indigenous community in Australia

Abstract Background The oral health of Indigenous children in remote communities is much worse than other population groups in Australia. Providing and maintaining an oral health service is challenging due to the remoteness of communities, ...

Assessing Acceptance and Intention to Use of Home Telemonitoring Among Patients with Liver Cirrhosis: Development and Initial Psychometric Validation of a TAM-Based Questionnaire

Background/Objectives: Liver cirrhosis (LC) is a major cause of morbidity and mortality requiring continuous monitoring and early recognition of clinical deterioration. Home telemonitoring is increasingly considered a supportive strategy fo...

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

Phosphorus runoff from Canadian agricultural land: A dataset for 30 experimental fields

Phosphorus (P) runoff from agricultural land plays a critical role in downstream water quality. This article summarizes P and sediment runoff data for both snowmelt and rainfall runoff from 30 arable fields in the Canadian provinces of Sask...

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

BackgroundClinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, res...

Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...

DeltaProt: a software toolbox for comparative genomics

Abstract Background Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding of environmental adaptations of proteins, orthologous ...

Web-based versus simulation-based refresher training in newborn life support

Background: Regular training for healthcare professionals in newborn life support is life-saving. Web-based refresher has the potential to be non-inferior to simulation-based refresher training. Methods: The multicenter non-inferiority rand...

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature

Abstract Background Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extra...

A pairwise residue contact area-based mean force potential for discrimination of native protein structure

Abstract Background Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-based mean force potentials are certainly the most popula...

Medical Informatics Europe '96: Human Facets in Information Technologies

This volume covers all aspects of medical informatics, with a focus on human facets in application of information technologies in health care, from ergonomic user interfaces to virtual reality technologies....