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Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.

Cancer control : journal of the Moffitt Cancer Center
INTRODUCTION: Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificia...

Machine learning on small size samples: A synthetic knowledge synthesis.

Science progress
Machine Learning is an increasingly important technology dealing with the growing complexity of the digitalised world. Despite the fact, that we live in a 'Big data' world where, almost 'everything' is digitally stored, there are many real-world situ...

What Can We Learn From the Past About the Future of Gerontology: Using Natural Language Processing to Examine the Field of Gerontology.

The journals of gerontology. Series B, Psychological sciences and social sciences
OBJECTIVES: We thematically classified all titles of eight top psychological and social gerontology journals over a period of six decades, between 1961 and February 2020. This was done in order to provide a broad overview of the main topics that inte...

Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.

Medicine
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
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
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...