Academic Articles & Research Papers

Behind the scars: adolescents with non-suicidal self-injury disorder show profound personality pathology

Abstract Background Non-suicidal self-injury is a significant clinical concern in adolescent psychiatry and frequently co-occurs with a range of psychiatric disorders, including mood disorders, eating disorders, substance use disorders, and...

Analysis of Strengths, Weaknesses, Opportunities and Threats of E-learning from the Perspective of Experts in the Period of COVID-19 Pandemic

Background: Today, e-learning has become one of the basic components of education process, especially in higher education. Institutions and universities employ e-learning extensively in their educational operations. In light of this, the go...

An Integrated Approach for Designing and Analyzing Lumbar Vertebral Biomodels with Artificial Disc Replacement

This study aims to develop an integrated approach for 3D lumbar vertebral biomodel design and analysis, specifically targeting unilevel disc degeneration and the replacement of lumbar artificial discs. Key objectives include improving exist...

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

BackgroundBy the end of 2022, more than 100 million people were infected with COVID-19 in the United States, and the cumulative death rate in rural areas (383.5/100,000) was much higher than in urban areas (280.1/100,000). As the pandemic s...

A Severe Acute Respiratory Syndrome extranet: supporting local communication and information dissemination

Abstract Background The objective of this study was to explore the use and perceptions of a local Severe Acute Respiratory Syndrome (SARS) Extranet and its potential to support future information and communication applications. The SARS Ext...

Oxygen nanobubbles of ICG dimers achieve self-cascade photothermal and photodynamic therapy for hypoxia-reversible tumor treatment

Simultaneous photothermal and photodynamic therapies (PTT and PDT) hold great promise for noninvasive tumor therapy. However, effective regulation of PTT and PDT with optimal synergistic effects remains a challenge. To date, there are only ...

Identifying peer experts in online health forums

Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of ...

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 ...

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...

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 ...

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...

Exploring feature selection and classification methods for predicting heart disease

Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...

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 ...

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...

Patients’ needs and experiences of telerehabilitation after total hip and knee arthroplasty: A qualitative systematic review and meta-synthesis

Background The number of patients undergoing joint replacement procedures is continuously increasing. Tele-equipment is progressively being employed for postrehabilitation of total hip and knee replacements. Gaining a comprehensive understa...

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...

Medical Informatics as a Discipline at the Beginning of the 21st Century

OBJECTIVES: To analyse the present situation of the discipline medical informatics and to propose actions for change. METHODS: Evaluation of the current situation mainly based on anecdotal evidence. RESULTS: The difference between the scien...

Impacts of the COVID-19 Pandemic on Primary Care Utilization: An Analysis of Primary Care Claims Data in Alberta, Canada

Background: The COVID-19 pandemic disrupted primary health care systems worldwide, prompting rapid changes in how care was delivered. In Alberta, this included a significant shift from in-person to virtual care. This study examines trends i...

Brain perfusion imaging in neonates

Abnormal variations of the neonatal brain perfusion can result in long-term neurodevelopmental consequences and cerebral perfusion imaging can play an important role in diagnostic and therapeutic decision-making. To identify at-risk situati...