Statistical and machine learning methods for the dynamic prediction of prognosis in haematological malignancies

Jorne Lionel Biccler

doi:10.5278/vbn.phd.med.00127

Statistical and machine learning methods for the dynamic prediction of prognosis in haematological malignancies

Jorne Lionel Biccler

Research output: PhD thesis

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Original language	English
Supervisors	El-Galaly, Tarec Christoffer, Principal supervisor Bøgsted, Martin, Co-supervisor Jerkeman, Mats, Co-supervisor, External person Brown, Peter De Nully, Co-supervisor, External person
Publisher	Aalborg Universitetsforlag
Electronic ISBNs	978-87-7210-376-1
DOIs	https://doi.org/10.5278/vbn.phd.med.00127
Publication status	Published - 2019

Bibliographical note

PhD supervisor: Associate Professor, MD, DMSc, Tarec C. El-Galaly, Department of Clinical Medicine, Aalborg University, Denmark
Assistant PhD supervisor: Professor, PhD, Martin Bøgsted, Department of Clinical MedicineAalborg University, Denmark
Professor, MD, PhD, Mats Jerkeman, Department of Oncology, Lund University, Sweden
MD, PhD, Peter de Nully Brown, Department of Haematology, Rigshospitalet, Denmark

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10.5278/vbn.phd.med.00127

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Cite this

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PB - Aalborg Universitetsforlag

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