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cNLP4QoL 2026 : 1st Workshop on Clinical Natural Language Processing for Quality of Life | |||||||||||||||
| Link: https://cnlp4qol.github.io/ICHI-cnlp4qol-2026/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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Call for paper: 1st Workshop on Clinical Natural Language Processing for Quality of Life (cNLP4QoL)
1. Workshop Overview: Quality of Life (WHOQOL) is a multi-dimensional, whole-person construct encompassing physical health, psychological state, level of independence, social relationships, environment, and spirituality, operationalized through 24 facets including pain & discomfort, energy & fatigue, sleep & rest, mobility, activities of daily living, dependence on medication/treatment, work capacity, positive feelings, thinking/learning/memory/concentration, self-esteem, bodily image & appearance, negative feelings, personal relationships, social support, sexual activity, physical safety & security, home environment, financial resources, health & social care accessibility/quality, opportunities for acquiring information/skills, participation in recreation/leisure, physical environment (pollution/noise/traffic/climate), transport, and spirituality/religion/personal beliefs. Many of the most meaningful QoL indicators are primarily documented in unstructured clinical narratives and patient-generated text. This workshop adopts a whole-person perspective and aims to bring together researchers, clinicians, and practitioners to advance robust, explainable, and clinically actionable NLP methods for extracting, modeling, and integrating QoL signals into real-world healthcare workflows. 2. Topics of Interest (include but are not limited to): - NLP methods for extracting, interpreting, and predicting QoL indicators - Functional, psychosocial, and behavioral health modeling from text - Explainability, trustworthiness, and reasoning in clinical language models - Annotation frameworks and evaluation metrics for subjective QoL constructs - Patient portals, clinical messages, conversations, and longitudinal narratives - Synthetic data generation, ontologies, knowledge graphs, and benchmarks for QoL - Clinical deployment and workflow integration of QoL-focused NLP systems - Applications: EHRs including clinical notes, social media data, patient narratives 3. Submission Types (original, unpublished work): - Regular papers (8–10 pages): mature work with substantial evaluation - Short papers (4–6 pages): innovative ideas with preliminary results - Position papers (4–6 pages): emerging directions or critical perspectives - Abstracts (2 pages): vision papers or work in progress All submissions will undergo single-blind peer review. Accepted papers will be presented at the workshop and published in the IEEE ICHI 2026 Proceedings, archived in IEEE Xplore (camera-ready submission required). 4. Important Dates: - Workshop paper submission deadline: March 15, 2026 - Notification of acceptance: March 21, 2026 - Camera-ready papers due: March 28, 2026 - Workshop date: June 1, 2026 Website Link: https://eur02.safelinks.protection.outlook.com/?https://cnlp4qol.github.io/ICHI-cnlp4qol-2026/ Contact: cnlp4qol@gmail.com |
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