Academic Articles & Research Papers

Applied Medical Informatics for the Chest Physician

Blockchain in medical informatics

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

Medical Informatics

Uncertainty and Decisions in Medical Informatics

This paper presents a tutorial introduction to the handling of uncertainty and decision-making in medical reasoning systems. It focuses on the central role of uncertainty in all of medicine and identifies the major themes that arise in rese...

Ten Topics for Medical Informatics

A living, curated collection of key topics and in-depth literature to get started in Medical Informatics research, extending the viewpoint article "Ten Topics to Get Started in Medical Informatics Research"....

Medical Informatics

Theory, Abstraction and Design in Medical Informatics

OBJECTIVE: To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for ...

Penetration and familiarity of false belief on neuroscience among students and its modifiability

In Study 1, the degrees of penetration and familiarity of false belief on neuroscience, especially brain imaging, among students were surveyed using a questionnaire technique. A total number of 485 students from medical school, school of nu...

Impact of a Mobile App (LoAD Calc) on the Calculation of Maximum Safe Doses of Local Anesthetics: Protocol for a Randomized Controlled Trial

BackgroundLocal anesthetics (LAs) are regularly used to alleviate pain during medical or surgical procedures. Their use is generally considered safe, but exceeding the maximum recommended doses can lead to LA systemic toxicity, a rare but p...

Early Retinal Microvascular Alterations in Young Type 1 Diabetic Patients without Clinical Retinopathy

The purpose of this study is to identify and quantify preclinical changes with the help of optical coherence tomography angiography (OCTA) within the retinal microcirculation of young type 1 diabetes (T1D) patients without clinical signs of...

Datasets describing hydrogel properties and cellular metrics for modeling of tumor dormancy

Breast cancer dormancy is an underlying challenge toward targeting and controlling metastatic recurrence and disease progression. Development of engineered, well-defined in vitro models is necessary to systematically recapitulate tumor dorm...

From Connectivity to Controllability: Unraveling the Brain Biomarkers of Major Depressive Disorder

Major Depressive Disorder (MDD) is a significant neurological condition associated with aberrations in brain functional networks. Traditional studies have predominantly analyzed these from a network topology perspective. However, given the ...

A genome-wide association study on meat consumption in a Japanese population: the Japan Multi-Institutional Collaborative Cohort study

Recent genome-wide association studies (GWAS) on the dietary habits of the Japanese population have shown that an effect rs671 allele was inversely associated with fish consumption, whereas it was directly associated with coffee consumption...

Accelerated maximum likelihood parameter estimation for stochastic biochemical systems

Abstract Background A prerequisite for the mechanistic simulation of a biochemical system is detailed knowledge of its kinetic parameters. Despite recent experimental advances, the estimation of unknown parameter values from observed data i...

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

Swarm v2: highly-scalable and high-resolution amplicon clustering

Previously we presented Swarm v1, a novel and open source amplicon clustering program that produced fine-scale molecular operational taxonomic units (OTUs), free of arbitrary global clustering thresholds and input-order dependency. Swarm v1...

BirdsEyeView (BEV): graphical overviews of experimental data

Abstract Background Analyzing global experimental data can be tedious and time-consuming. Thus, helping biologists see results as quickly and easily as possible can facilitate biological research, and is the purpose of the software we descr...

Lecture notes in medical informatics

Challenges for Medical Informatics as an Academic Discipline

In March 2001, twenty members of the informatics community gathered in Madrid, Spain, to discuss the state of our field as an academic discipline and the challenges that university-based workers in health informatics face.The workshop, held...