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AI-Aided Data Analytics Tools and Applications for the Healthcare Sector

Alex Khang, Vugar Abdullayev, Abuzarova Vusala Alyar, Matlab Khalilov, Bagirli Murad

2023Advances in medical technologies and clinical practice book series54 citationsDOI

Abstract

Modern businesses have come to rely heavily on data analytics because it offers insightful information about consumer behavior, operational effectiveness, and financial performance. Organizations employ a variety of data analytics technologies, including Tableau, Excel, Python, and R, to analyze enormous volumes of data and derive actionable insights. These tools assist in gathering, purifying, processing, analyzing, and visualizing data to find patterns and trends. Numerous sectors, including marketing, finance, healthcare, manufacturing, and retail, can benefit from data analytics. Businesses may make wise decisions, improve productivity, cut expenses, and gain a competitive edge by utilizing data analytics tools and apps not only for healthcare sector but also other business sectors.

Topics & Concepts

AnalyticsData scienceData analysisPython (programming language)Health careVariety (cybernetics)Business analyticsComputer scienceBusiness intelligenceCompetitive advantageBusinessMarketingKnowledge managementData miningBusiness modelEconomicsArtificial intelligenceBusiness analysisOperating systemEconomic growthArtificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareCOVID-19 diagnosis using AI
AI-Aided Data Analytics Tools and Applications for the Healthcare Sector | Litcius