Paper Info
Title
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a severe chronic disease characterized by progressive or alternate impairment of neurological functions, characterized by high heterogeneity both in symptoms and disease progression. As a consequence its clinical course is highly uncertain, challenging both patients and clinicians. Indeed, patients have to manage alternated periods in hospital with care at home, experiencing a constant uncertainty regarding the timing of the disease acute phases and facing a considerable psychological and economic burden that also involves their caregivers. Clinicians, on the other hand, need tools able to support them in all the phases of the patient treatment, suggest personalized therapeutic decisions, indicate urgently needed interventions. The goal of iDPP:.:CLEF is to design and develop an evaluation infrastructure for AI algorithms able to: 1. better describe disease mechanisms; 2. stratify patients according to their phenotype assessed all over the disease evolution; 3. predict disease progression in a probabilistic, time dependent fashion.
Year
DOI
Venue
2022
10.1007/978-3-031-13643-6_25
EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2022)
DocType
Volume
ISSN
Conference
13390
0302-9743
Citations 
PageRank 
References 
0
0.34
0
Authors
22
Name
Order
Citations
PageRank
Alessandro Guazzo100.34
Isotta Trescato200.34
Enrico Longato300.34
Enidia Hazizaj400.34
Dennis Dosso501.01
Guglielmo Fagoli600.34
Giorgio Maria Di Nunzio701.35
Gianmaria Silvello801.69
Martina Vettoretti900.34
Erica Tavazzi1000.34
Chiara Roversi1100.34
Piero Fariselli1200.34
Sara C. Madeira1300.34
Mamede de Carvalho1400.34
Marta Gromicho1500.34
Adriano Chio1600.34
Umberto Manera1700.34
Arianna Dagliati1800.34
Giovanni Birolo1900.34
Helena Aidos2000.34
Barbara Di Camillo2100.34
Nicola Ferro2200.68