Connectionists: Final CFP: ToxHabits Shared Task (BioCreative IX at IJCAI2025): Named entity recognition of toxic habits (drug abuse, smoking & alcohol in clinical texts)

Martin Krallinger krallinger.martin at gmail.com
Wed Jun 4 06:09:21 EDT 2025


(Apologies for cross-posting)

CFP: ToxHabits Shared Task (BioCreative IX will be colocated with IJCAI 2025
<https://2025.ijcai.org/> in Montreal, CA)

Named entity recognition of toxic habits including substance abuse, smoking
& alcohol consumption in clinical texts

https://temu.bsc.es/toxhabits/

The ToxHabits track focuses on the automatic detection of toxic habit
entity mentions in clinical case reports written in Spanish. We also plan
to release a multilingual version of the dataset, including versions in
English and other languages.
*🔹 Key Links:*

   - *Main website:* https://temu.bsc.es/toxhabits/
   - *Registration:* https://temu.bsc.es/toxhabits/registration/
   - *Data download (Train & Test):* https://temu.bsc.es/toxhabits/data/
   - *Submission instructions:* https://temu.bsc.es/toxhabits/submission/
   - *Evaluation script:*
   - https://github.com/nlp4bia-bsc/ToxHabits_evaluation_library
      - https://temu.bsc.es/toxhabits/evaluation/
      - *BioCreative IX site:*
   https://www.ncbi.nlm.nih.gov/research/bionlp/biocreative


*Subtasks*

   - *ToxNER (Subtask 1)**:*
   Detect spans and types of substance mentions (Tobacco, Alcohol, Drug,
   Cannabis).
   - *ToxUse (Subtask 2)**:*
   Detect spans and labels related to usage (Amount, Type, Frequency,
   Duration, Method, History).


* Timeline*

   - *Train Set Released:* April 30, 2025
   - *Test Set Released:* May 26, 2025
   - *Submission Deadline:* *June 5, 2025 (AoE)*
   - *Results Announcement:* June 6, 2025
   - *System Paper Deadline (BioCreative proceedings):* June 16, 2025
   - *Review Notification:* July 1, 2025
   - *IJCAI 2025 Conference:* August 16–22, 2025 (Montreal, Canada)



*💡 Motivation*
Systems capable of detecting and characterizing toxic habits, including not
only smoking and alcohol consumption but also various forms of drug or
substance abuse, from medical text are crucial for nearly all healthcare
data mining, medical AI, and predictive clinical applications. These toxic
habits are critical for understanding disease risk, treatment planning, and
patient outcomes.
In the United States alone, drug overdose deaths since 2000 are approaching
one million. Globally, the burden of substance abuse is clear and growing.
This highlights the urgent need for systematic extraction and
characterization of toxic habit information from medical texts.
To address these challenges, the *ToxHabits shared task* has been proposed
as part of the *BioCreative IX initiative*, co-located with *IJCAI 2025*.

*Clinical Use Cases Include:*

   1. *Risk Assessment for Chronic Diseases*
   2. *Anesthesia and Surgical Planning*
   3. *Mental Health Diagnosis and Management*
   4. *Medication Metabolism and Drug Interactions*
   5. *Prenatal and Maternal Care*
   6. *Infectious Disease Screening and Prevention*
   7. *Liver Function and Hepatology*
   8. *Oncology: Risk and Treatment Planning*
   9. *Pain Management and Opioid Prescribing*
   10. *Emergency and Acute Care Triage*



* Workshop Proceedings & Special Issue*
Participating teams will be invited to contribute a *system description
paper* to the *BioCreative IX Working Notes* and to give a *flash
presentation* during the BioCreative session at IJCAI.
Top-performing teams may be invited to submit an extended version to a *special
journal issue*.

*All BioCreative IX Tracks*

   - *Track 1:* MedHopQA
   - *Track 2:* Sentence Segmentation of Real-Life Clinical Notes
   - *Track 3:* ToxHabits

Details: https://www.ncbi.nlm.nih.gov/research/bionlp/biocreative9

*Organizers*

   - Wesam Al-Nabki, BSC, Spain
   - Gabriel Vayá-Abad, BSC, Spain
   - Eulàlia Farré-Maduell, BSC, Spain
   - Jan Rodríguez Miret, BSC, Spain
   - Martin Krallinger, BSC, Spain


*Scientific Committee*

   - Dina Demner-Fushman, NIH/NLM
   - Ozlem Uzuner, George Mason University
   - Asma Ben Abacha, Microsoft Health AI
   - Anastasios Nentidis, NCSR Demokritos
   - Anastasia Krithara, NCSR Demokritos
   - Lourdes Araujo, UNED
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