This two-volume set CCIS 3093-3094 constitutes the conference proceedings of the 7th International Conference on Information Retrieval and Knowledge Management, CAMP 2026, held in Putrajaya, Malaysia, during August 1213, 2026.

The 27 full papers and 30 special session papers included in these volumes were carefully reviewed and selected from 113 submissions. They are organized into the following topical sections:

Part I : Computational Linguistics; Data Science; Information Retrieval; and Knowledge Management.

Part II : Transforming Data into Actionable Knowledge: AI and Retrieval for Intelligent Health Systems; AI-Resilient Computer Science Education: Assessment Innovation, Curriculum Redesign, and Learning Analytics in the Era of Generative AI; Ethical AI in Education and Responsible Research: Frameworks, Governance, and Trustworthy AI for Knowledge-Driven Institutions; Data Governance and Knowledge Management: Higher Education Performance Analytics and Knowledge-Driven Decision Making; Digital Innovation and Transformation; Generative AI, Large Language Models, and Real-World Applications

Inhalt

.- Special Session 1: Transforming Data into Actionable Knowledge: AI and Retrieval for Intelligent Health Systems.

.- AI Therapist Chatbot: Leveraging a Hybrid Approach.

.- Automated SNOMED CT Mapping from Unstructured Indonesian Clinical Narrative Using Large Language Models: A Two-Level Information Retrieval Framework with Clinical Context Validation.

.- Bridging the Digital Divide for Nutrition Systems in Pakistan: Evidence from Nutrition Professionals and a Capacity Development Framework.

.- Implementation of Hybrid Model: Auto-Encoder and Isolation Forest for Anomaly Detection in BPJS Healthcare Billing Data.

.- Integrating Local Stroke Registry Data into a Predictive Digital Twin Platform: A Proof-of-Concept for Acute Stroke Monitoring.

.- Longitudinal Modelling of Cognitive Impairment Progression among Malaysian Older Adults Using Multimodal Assessments.

.- Social Media-Based Classification of Mental Health Using Comparative Machine Learning and Deep Learning Techniques.

.- AI-Resilient Computer Science Education: Assessment Innovation, Curriculum Redesign, and Learning Analytics in the Era of Generative AI.

.- Beyond Vibe Coding: HumanAI Teaming for Generative AI-Enhanced Learning in Undergraduate Data Mining Education.

.- Ethical AI in Education and Responsible Research: Frameworks, Governance, and Trustworthy AI for Knowledge-Driven Institutions.

.- Assessment of COVID-19 Vaccine Acceptance Among Healthcare Workers at Azadi Teaching Hospital, Kirkuk, Iraq.

.- CatBoost Regression and Feature Engineering for Forecasting Spare Parts Demand in the Heavy Equipment Industry.