Reasoning in time-based medical data: combining visual analytics, data mining, and artificial intelligence methods

• Autores: Jon Kerexeta Sarriegi
• Directores de la Tesis: Manuel María Graña Romay (dir. tes.), Andoni Beristain Iraola (codir. tes.)
• Lectura: En la Universidad del País Vasco - Euskal Herriko Unibertsitatea ( España ) en 2024
• Idioma: inglés
• Programa de doctorado: Programa de Doctorado en Ingeniería Informática por la Universidad del País Vasco/Euskal Herriko Unibertsitatea
• Menciones:
  • Internacional
• Calificación: Sobresaliente Cum Laude
• Materias:
  • Ciencias tecnológicas
• Enlaces
  • Tesis en acceso abierto en: ADDI
• Resumen

  • This thesis presents an in-depth exploration of visual analytics, data mining, and artificial intelligence methods to improve clinical outcomes with time-based data. We address the hypothesis that key patterns and relationships can be identified in clinical temporal data to significantly improve the prevention, dia- gnosis, and treatment of various health conditions. Each use case in this thesis addresses this hypothesis in a different manner: the impact of daily habits on older adults, disease path progression, and heart failure decompensation detection.