Inicio > > Ciencias de la computación > Inteligencia artificial > AI Techniques for Association Rule Mining in Medical Data
AI Techniques for Association Rule Mining in Medical Data

AI Techniques for Association Rule Mining in Medical Data

Anandhavalli Muniasamy

291,57 €
IVA incluido
Disponible
Editorial:
IGI Global
Año de edición:
2026
Materia
Inteligencia artificial
ISBN:
9798337366920
291,57 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Kálamo Books
  • Librería Elías (Asturias)
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
Sobre IBD

The rapid growth of electronic health records and biomedical repositories has created unprecedented opportunities to extract patterns from medical data. Among the most effective approaches for uncovering hidden relationships is association rule mining, a data mining technique designed to identify patterns and correlations among variables. In recent years, advances in artificial intelligence (AI) have significantly enhanced interpretability when dealing with complex medical datasets. AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications explores how AI is revolutionizing the process of discovering patterns and relationships in medical datasets. It examines how hybrid and intelligent models enable more accurate and clinically relevant pattern discovery in high-dimensional medical datasets. Covering topics such as AI, medical data, and medical technologies, this book is an excellent resource for academicians, data scientists, healthcare professionals, software engineers, AI developers, and graduate students.

Artículos relacionados

  • Exploring Advances in Interdisciplinary Data Mining and Analytics
    Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, databas...
  • Knowledge Discovery Practices and Emerging Applications of Data Mining
    Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers as...
  • Research and Trends in Data Mining Technologies and Applications
    David Taniar
    ...
  • Developing Metadata Application Profiles
    The prevalence of data science has grown exponentially in recent years. Increases in data exchange have created the need for standards and formats on handling data from different sources. Developing Metadata Application Profiles is an innovative reference source that discusses the latest trends and techniques for effectively managing and exchanging metadata. Including a range o...
  • Modern Technologies for Big Data Classification and Clustering
    Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provi...
  • 90 Gelöste Fälle zu Zeitintelligenz in der DAX-Sprache
    Ramón Javier Castro Amador
    Dieser Ratgeber ist rein praktisch ausgerichtet, so dass Sie den gesamten DAX-Code in dieser Publikation anhand einer zum Download verfügbaren .pbix-Datei testen können.'90 gelöste Fälle zu Zeitintelligenz in DAX' ist ein Ratgeber für Benutzer von Microsoft Power BI, der Lösungen für sehr häufige praktische Fälle in Zeitintelligenzmodellen in der Sprache DAX bietet.Um das Verst...
    Disponible

    16,15 €

Otros libros del autor

  • AI Model Design and Data Management for Disease Prediction
    Anandhavalli Muniasamy
    The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection...
  • AI Model Design and Data Management for Disease Prediction
    Anandhavalli Muniasamy
    The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection...
    Disponible

    265,37 €

  • Integrative Machine Learning and Optimization Algorithms for Disease Prediction
    Anandhavalli Muniasamy
    Integrative approaches that combine machine learning (ML) and optimization algorithms rapidly transform the landscape of disease prediction and healthcare analytics. By leveraging the predictive power of ML models alongside the efficiency of optimization techniques, researchers can develop more accurate, robust, and scalable systems for early diagnosis and risk assessment. Thes...
  • Integrative Machine Learning and Optimization Algorithms for Disease Prediction
    Anandhavalli Muniasamy
    Integrative approaches that combine machine learning (ML) and optimization algorithms rapidly transform the landscape of disease prediction and healthcare analytics. By leveraging the predictive power of ML models alongside the efficiency of optimization techniques, researchers can develop more accurate, robust, and scalable systems for early diagnosis and risk assessment. Thes...
    Disponible

    257,62 €