Visualizing Scholarly Trends in Electronic Health (eHealth) Business Models: A Bibliometric Analysis.

The integration of digital health technologies with innovative business models became a crucial driver in the transformation of healthcare service delivery and management worldwide. As the adoption of electronic health (eHealth) solutions grows, there is increasing scholarly interest in understanding and optimizing these models. This paper reviewed the literature on eHealth business models from 1991 to 2024 through a bibliometric analysis of 1,118 documents published across 711 sources.

Exploring the Frontiers of Mathematical Neuroscience: A Comprehensive Bibliometric Analysis.

Mathematical neuroscience is the branch of interdisciplinarity between mathematical modeling and neuroscience through computational techniques to study the structure, function, and dynamics of the brain. The objective of this paper is to undertake a comprehensive review of research trends in mathematical neuroscience and important developments in the period from 1973 to 2024. From this source of bibliographic data, Scopus alone returns 727 retrieved documents, consisting of journals, book chapters, and conference papers.

Visualizing Research Trends in Quantum Dots for Health: A Bibliometric Exploration.

Quantum dots (QDs) are semiconductor nanoparticles with immense potential accompanied by unique optoelectronic properties for revolutionizing several biomedical applications related to imaging, diagnostics, drug delivery, and therapy. A detailed bibliometric analysis has been performed in this article with regard to research relating to QDs in the health sector during 2004-2024. In spite of their promising applications, assessment of the toxicity of QDs, especially highly toxic heavy metal-based QDs like cadmium, is still the most important apprehension.

Mapping Research Trends in One Health: A Comprehensive Review.

The One Health approach, which emphasizes the interconnection between human, animal, plant, and environmental health, has gained significant attention as a framework for addressing global health challenges. This study presents a thorough bibliometric analysis of One Health research, utilizing the Web of Science Core Collection database, covering the period from 1989 to 2024. The analysis uncovers a substantial increase in scientific output over the years, reflecting the growing importance of this interdisciplinary field.

Exploring Gendered Relational Dynamics in Palliative Care: A Qualitative Study on Women Professional Caregivers in India.

Introduction: The gendered dynamics in palliative care settings in India are deeply influenced by societal norms, which position caregiving primarily as a woman's responsibility. This study explores the experiences of women caregivers in Bengaluru, Karnataka, India, to understand their challenges and strategies.

Methodology: This qualitative study used a narrative approach to investigate the lived experiences of 38 women caregivers from six palliative care institutions in Bengaluru.

Exploring the Intersection of E-commerce and Healthcare: A Visual Analysis of Research Trends.

The role of e-commerce in healthcare is one of the key research areas emerging from the broader digital transformation of health services and consumer interactions. This study presents the bibliometric analysis of literature on e-commerce in healthcare based on publications from 1993 to 2024 in Scopus. In particular, this analysis shows trends in the publication record that have been constantly growing, with prominent increases during the COVID-19 pandemic, now hardwiring the fact that digital technologies are key in promoting global health.

A Bibliometric Analysis of the Trends and Impact of Neuromarketing Research: Peering Into the Consumer Brain.

Neuromarketing is the application of neuroscience and cognitive science to understand and influence consumer behavior and the different underlying decision-making processes. This neuromarketing bibliometric study uses Scopus for bibliographic data and Biblioshiny and Citespace for the overall analysis. Annual scientific production is considered to outline some general lines of critical trends in volume over time.

Tracking Research Momentum and Scholarly Impact: A Bibliometric Analysis of Magnetotherapy.

This bibliometric study investigates the research landscape of magnetotherapy, also known as magnetic field therapy, which utilizes magnetic fields to promote healing, reduce pain, and improve overall health and well-being. The study uses bibliographic data from Scopus and employs Biblioshiny and CiteSpace for analysis. Key aspects examined include annual scientific production, most relevant authors, co-citation of cited authors, most relevant sources, countries' scientific production, and collaborations.

Visualizing Scholarly Trends in Stochastic Models for Disease Prediction.

Stochastic models play a pivotal role in disease prediction by accounting for randomness and uncertainty in biological systems. This study offers a visualization of trends in the application of stochastic models for disease prediction from 1990 to 2024, based on a bibliometric analysis of Scopus data. Key findings reveal a significant growth in research post-2014, largely driven by global health challenges like COVID-19.

Mapping Research Trends and Collaborative Networks in Swarm Intelligence for Healthcare Through Visualization.

Swarm intelligence, evolved from the self-organized behavior of social insects, has become an essential method under artificial intelligence for handling complex and dynamic issues. This study visualizes and analyzes the use of swarm intelligence in healthcare, focusing on its role in managing rising medical data complexity, optimizing diagnostic and therapeutic solutions, and supporting personalized healthcare. The analysis, based on literature from Scopus (2003-2024) using Biblioshiny and VOSviewer, reveals a strong increase in publications since 2017, with central themes around disease diagnosis, treatment optimization, medical image analysis, and real-time patient monitoring through frameworks like the Internet of Medical Things (IoMT) and swarm learning.

Exploring the Frontiers of Health Tourism: A Bibliometric Analysis of Research Themes and Trends.

Health tourism, encompassing both wellness and medical tourism, serves individuals seeking preventive care, relaxation, and medical treatments in diverse global destinations. This bibliometric study leverages Scopus for bibliographic data to analyze the scientific production in health tourism. The analysis, conducted using Biblioshiny and CiteSpace, focuses on annual scientific production, identifies the most productive authors, and highlights the most relevant sources.

Heat Waves: A Bibliometric Analysis of Thermotherapy Research.

This bibliometric study analyzes the evolving field of thermotherapy, a medical treatment that utilizes heat to treat various conditions, including cancer, by applying controlled temperatures to targeted tissues. Utilizing bibliographic data from the core collection of Web of Science and analysis software Biblioshiny and VOSviewer, we analyzed several key metrics to gain insights into the development and trends in thermotherapy research. The annual scientific production revealed a significant increase in publications over the past two decades, reflecting growing interest in this field.

The Rise of Digital Twins in Healthcare: A Mapping of the Research Landscape.

The place of digital twin technology in any healthcare system is a truly disruptive innovation that has profound consequences all across medical research and practice. Digital twins represent the virtual replicas that correspond to some physical entity by pulling real-time data streams from different sources to model biological systems for health monitoring and personalization of treatment strategies. This paper presents a detailed review of the current research landscape into digital twins for healthcare.

Insights Into the Research Landscape of Biomedical Physics: A Bibliometric Inquiry.

Biomedical physics is the interdisciplinary field that links the scientific concepts in physics to the practice of medicine and biology, in an effort to understand biological processes, help in the development of medical technologies, to improve human health. This bibliometric study investigates the interdisciplinary field of biomedical physics, which integrates the principles of physics with biological and medical sciences to develop innovative diagnostic and therapeutic technologies. Utilizing the Web of Science database for bibliographic data collection, the analysis employs advanced bibliometric software tools, including Biblioshiny and VOSviewer, to comprehensively map the research landscape.

Bibliometric Analysis and Visualization of Scientific Literature on Heart Disease Classification Using a Logistic Regression Model.

With the advancement in artificial intelligence, the use of machine learning algorithms for clinical prediction has increased tremendously. Logistic regression is one of the powerful machine learning algorithms that can be used to predict the probability of a variable. Logistic regression is very popular among medical researchers owing to its simplicity, interpretability, and solid statistical foundation.

Behind Closed Doors: The Hidden Realities of Indian Children Living With Alcohol-Dependent Parents.

Background: The negative impact of Paternal Alcohol Use Disorder (PAUD) on children's psychosocial well-being is an overlooked issue that warrants more global research attention. Alcohol dependence is often seen as a hidden problem with subtle yet harmful effects, especially on the children of those with alcohol dependence. These children often remain invisible due to their loyalty and unwillingness to disclose their dysfunctional family situation.

Navigating the Web of Influence: A Bibliometric Analysis of Social Media Addiction.

Social media addiction is a behavioral dependency characterized by excessive and compulsive use of social media platforms, leading to negative impacts on various aspects of an individual's life. Bibliometric analysis is a research method used to quantitatively analyze academic literature, such as articles, books, and conference papers. It involves the application of statistical and mathematical tools to study the patterns and trends in scientific publications.

Advancements and Future Directions in Polycythemia Vera Research: A Bibliometric Analysis.

This research provides a comprehensive bibliometric analysis of polycythemia vera (PV) research trends, encompassing data from 1969 to 2024. Utilizing advanced tools, key findings reveal a notable increase in scientific production over time, reflecting growing interest and investment in PV research. Prominent themes include genetic studies, targeted therapies, and precision medicine approaches.

The Intellectual Landscape of Nanovaccines: A Bibliometric Perspective on Scientific Progress and Future Directions.

This bibliometric study provides a comprehensive analysis of the burgeoning field of nanovaccine research, leveraging data sourced from Scopus and employing the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) flowchart for the meticulous screening, inclusion, and exclusion of relevant studies. Utilizing sophisticated bibliometric tools, such as Biblioshiny and CiteSpace, we dissected the expansive literature to unearth critical insights into the annual scientific output, identifying key contributors and pivotal publications that have shaped the domain. The analysis delineates the most influential authors, sources, and globally cited documents, offering a macroscopic view of the field's intellectual structure and growth trajectory.

Mapping the Landscape of Electronic Health Records and Health Information Exchange Through Bibliometric Analysis and Visualization.

The adoption of Electronic Health Records (EHRs) and the establishment of Health Information Exchange (HIE) systems have significantly transformed healthcare delivery and management. This study presents a comprehensive bibliometric analysis and visualization of the landscape surrounding EHRs and HIE to provide insights into the current state and emerging trends in this field. Leveraging advanced bibliometric methodologies, including co-citation analysis, keyword co-occurrence analysis, and network visualization techniques, we systematically map the scholarly literature spanning several decades.

Parenting Amid Shadows: Exploring the Child-Rearing Experiences of Wives of Individuals With Alcohol Use Disorder.

Introduction: The pervasive impact of alcohol use disorder (AUD) within families, particularly on parenting roles in Kerala, India, necessitates an in-depth exploration. This study aims to uncover the unique challenges and coping strategies employed by wives of individuals with AUD against a backdrop of societal stigma and economic hardship.

Methodology: This study, employing a qualitative narrative research design, delves into the experiences of 30 wives of men with AUD in Kerala.

A Transformative Journey Through Support Group Participation: Narratives of the Wives of Individuals With Alcohol Use Disorder.

The issue of alcohol use disorder (AUD) has received significant attention, with a primary focus on individuals directly afflicted by the disorder. This extensive focus, while necessary, often overlooks the profound impact that AUD has on the family unit, particularly on spouses who play a crucial role in the dynamics of coping and recovery. However, the psychosocial and emotional challenges encountered by wives of those with AUD have been largely neglected in both research and therapeutic interventions.