Tasks
iDPP CLEF 2022 offers two evaluation tasks focused on predicting the progression of Amyotrophic Lateral Sclerosis (ALS) and one position papers task on explainability of these AI algorithms.
Task 1 - Ranking Risk of Impairment for ALS
Participants are asked to rank subjects based on the risk of early occurrence of
- Task1a: NIV (Non-Invasive Ventilation) or (competing event) Death, whichever occurs first;
- Task1b: PEG (Percutaneous Endoscopic Gastrostomy) or (competing event) Death, whichever occurs first;
- Task1c: Death.
For each of these tasks, participants are given a dataset containing 6 months of visits and are asked to rank patients on the risk of occurrence of one of the above events after month 6.
In particular, for each subtask, we ask two type of submissions from participants:
- submissions using only data available until
Time 0
, i.e. the time of the first ALSFRS-R questionnaire; - submissions using data available until
Month 6
.
Indeed, from the clinicians point of view, it is of interest to understand what they
can say the first time they see the patient (Time 0
) and what they can say
if they collect additional data for the following 6 months.
Task 2 - Predicting Time of Impairment for ALS
Participants are asked to predict the time of the event. Where the event is
- Task2a: NIV (Non-Invasive Ventilation) or (competing event) Death, whichever occurs first;
- Task2b: PEG (Percutaneous Endoscopic Gastrostomy) or (competing event) Death, whichever occurs first;
- Task2c: Death.
For each of these tasks, participants are given a dataset containing 6 months of visits and are asked to predict a time window of occurrence of one of the above events after month 6.
In particular, for each subtask, we ask two type of submissions from participants:
- submissions using only data available until
Time 0
, i.e. the time of the first ALSFRS-R questionnaire; - submissions using data available until
Month 6
.
Task 3 - Position Papers on Explainability of AI Algorithms for ALS
This task is not an evaluation challenge but rather discussion papers and proposals on how to make these prediction algorithms explainable, also in a visual way.
However, authors of the papers are welcome to use the datasets below, if they wish to give examples of their algorithms and solutions.
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 2022 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=clef2022
by choosing the Intelligent Disease Progression Prediction (iDPP)
track.
Participating
To participate in iDPP CLEF 2022, groups need to register at the following link: