iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge

被引：2

作者：

Aidos, Helena ^{[1
]}

Bergamaschi, Roberto ^{[2
]}

Cavalla, Paola ^{[3
]}

Chio, Adriano ^{[4
]}

Dagliati, Arianna ^{[2
]}

Di Camillo, Barbara ^{[5
]}

de Carvalho, Mamede Alves ^{[1
]}

Ferro, Nicola ^{[5
]}

Fariselli, Piero ^{[4
]}

Garcia Dominguez, Jose Manuel ^{[6
]}

Madeira, Sara C. ^{[1
]}

Tavazzi, Eleonora ^{[7
]}

机构：

[1] Univ Lisbon, Lisbon, Portugal

[2] Univ Pavia, Pavia, Italy

[3] Citta Salute & Sci, Turin, Italy

[4] Univ Turin, Turin, Italy

[5] Univ Padua, Padua, Italy

[6] Gregorio Maranon Hosp Madrid, Madrid, Spain

[7] IRCCS Fdn C Mondino Pavia, Pavia, Italy

来源：

ADVANCES IN INFORMATION RETRIEVAL, ECIR 2023, PT III | 2023年 / 13982卷

关键词：

SCLEROSIS; SCALE;

D O I：

10.1007/978-3-031-28241-6_57

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) are chronic diseases characterized by progressive or alternate impairment of neurological functions (motor, sensory, visual, cognitive). 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.

引用

页码：491 / 498

页数：8

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