iDPP CLEF 2023 offers two evaluation tasks focused on predicting the progression of Multiple Sclerosis (MS) and one position papers task on impact of exposition to pollutants on predicting the progression of Amyotrophic Lateral Sclerosis (ALS).
Task 1 - Predicting Risk of Disease Worsening (Multiple Sclerosis)
It focuses on ranking subjects based on the risk of worsening, setting the problem as a survival analysis task. More specifically the risk of worsening predicted by the algorithm should reflect how early a patient experience the event "worsening". Worsening is defined based on the Expanded Disability Status Scale (EDSS), accordingly to clinical standards.
Task 2 - Predicting Probability of Worsening (Multiple Sclerosis)
It refines Task 1 by asking participants to explicitly assign a probability of worsening at different time windows.
Task 3 - Position Papers on Impact of Exposition to Pollutants (Amyotrophic Lateral Sclerosis)
We will evaluate proposals of different approaches to assess if exposure to different pollutants is a useful variable to predict time to Percutaneous Endoscopic Gastrostomy (PEG), Non-Invasive Ventilation (NIV) and death in ALS patients.
Position papers follow the same schedule for submission, peer revision, and camera ready as the papers of the participants in the challenge. See the section on Important Dates below for details.
Accepted position papers will be published in the CLEF 2023 Working Notes at CEUR-WS, indexed in DBLP and Scopus.
Position papers use the same template as participants papers, available here.
Authors are strongly encouraged to use LaTeX. However, it is possible to also use Word and a basic template is provided as well.
Position papers are expected to be 5-10 pages in length, excluding references.
Position papers can be submitted via Easychair at the following link https://easychair.org/conferences/?conf=clef2023
by choosing the
Intelligent Disease Progression Prediction (iDPP) track.
To participate in iDPP CLEF 2023, groups need to register at the following link: