AIMC Topic: Bibliometrics
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Nature
Sep 1, 2021
Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.
Medicine
Apr 9, 2021
BACKGROUND: Artificial intelligence (AI) has had a significant impact on our lives and plays many roles in various fields. By analyzing the past 30 years of AI trends in the field of nephrology, using a bibliography, we wanted to know the areas of in...
Health informatics publication trends in Saudi Arabia: a bibliometric analysis over the last twenty-four years.
Journal of the Medical Library Association : JMLA
Apr 1, 2021
OBJECTIVE: Understanding health informatics (HI) publication trends in Saudi Arabia may serve as a framework for future research efforts and contribute toward meeting national "e-Health" goals. The authors' intention was to understand the state of th...
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2020
OBJECTIVE: To conduct a systematic scoping review of explainable artificial intelligence (XAI) models that use real-world electronic health record data, categorize these techniques according to different biomedical applications, identify gaps of curr...
Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis.
In vivo (Athens, Greece)
Jun 1, 2020
BACKGROUND/AIM: To evaluate the research trends in coronavirus disease (COVID-19).
Prevalence of Machine Learning in Craniofacial Surgery.
The Journal of craniofacial surgery
Jun 1, 2020
Machine learning (ML) revolves around the concept of using experience to teach computer-based programs to reliably perform specific tasks. Healthcare setting is an ideal environment for adaptation of ML applications given the multiple specific tasks ...
Analysis of knowledge bases and research hotspots of coronavirus from the perspective of mapping knowledge domain.
Medicine
May 29, 2020
BACKGROUND: Coronaviruses have drawn attention since the beginning of the 21st century. Over the past 17 years, coronaviruses have triggered several outbreaks of epidemic in people, which brought great threats to global public health security. We ana...
Deep learning in clinical natural language processing: a methodical review.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2020
OBJECTIVE: This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative analysis to answer 3 research questions concerning methods, scope, and context of c...
The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members.
Work (Reading, Mass.)
Jan 1, 2020
BACKGROUND: The COVID-19 outbreak pandemic is a situation without a tested action plan. Rehabilitation team members have been called for duty with new responsibilities in addition to their conventional roles in the healthcare system. The infectious d...
5-Year Trends in QSAR and its Machine Learning Methods.
Current computer-aided drug design
Jan 1, 2016
BACKGROUND: Quantitative Structure-Activity Relationships (QSAR) is a well-established branch of computational chemistry. The presence of QSAR papers is decreasing for the last few years.
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