30-day mortality of patients with advanced cancer: monitoring and machine learning models using extensive health data

Research output: Book/ReportPh.D. thesis

143 Downloads (Pure)
Original languageEnglish
PublisherAalborg Universitetsforlag
Number of pages99
ISBN (Electronic)978-87-7573-955-4
DOIs
Publication statusPublished - 2022
SeriesAalborg Universitet. Det Sundhedsvidenskabelige Fakultet. Ph.D.-Serien
ISSN2246-1302

Bibliographical note

Main PhD supervisor:
Professor Martin Bøgsted, Department of Clinical Medicine
Aalborg University, Denmark & Department of Haematology
Aalborg University Hospital, Denmark

PhD co-supervisors:
Clinical Professor Ursula Falkmer, Department of Clinical Medicine,
Aalborg University, Denmark & Department of Oncology,
Aalborg University Hospital, Denmark
Associate Professor Rasmus Froberg Brøndum, Department of Clinical Medicine
Aalborg University, Denmark & Department of Haematology,
Aalborg University Hospital, Denmark
Professor Karen Dybkær, Department of Clinical Medicine
Aalborg University, Denmark & Department of Haematology,
Aalborg University Hospital, Denmark

Keywords

  • systemic anticancer therapy
  • 30-day mortality
  • monitoring
  • registries
  • dynamic risk prediction
  • machine learning

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