Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease

Disease progression modeling (DPM) of Alzheimer's disease (AD) aims at revealing long term pathological trajectories from short term clinical data. Along with the ability of providing a data-driven description of the natural evolution of the pathology, DPM has the potential of representing a va...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2019-04, Vol.190, p.56-68
Hauptverfasser:	Lorenzi, Marco, Filippone, Maurizio, Frisoni, Giovanni B., Alexander, Daniel C., Ourselin, Sebastien
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Aged Alzheimer Disease - diagnosis Alzheimer Disease - metabolism Alzheimer Disease - pathology Alzheimer Disease - physiopathology Alzheimer's disease Amyloid Atrophy Biomarkers Brain research Clinical trials Cognitive Dysfunction - diagnosis Cognitive Dysfunction - metabolism Cognitive Dysfunction - pathology Cognitive Dysfunction - physiopathology Data processing Diagnosis Disease Progression Disease progression modeling Follow-Up Studies Gaussian process Humans Magnetic Resonance Imaging Medical imaging Models, Neurological Neurodegenerative diseases Pathology Positron-Emission Tomography Prognosis Severity of Illness Index Uncertainty
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