ICATH 2025 2025 - 58 articles
Today, the right to easy access to medical care for all citizens is one of the universal rights promoted by the WHO to achieve the health goals of sustainable development. Furthermore, an intelligent reevaluation of hospital management is becoming an...
Understanding traffic congestion in urban areas is crucial for ensuring mobility, especially in metropolitan cities of developing countries. This study presents new spatial and temporal data to analyze congestion in Casablanca. Spatial data, collecte...
Accurately predicting survival within patients diagnosed with diffuse glioma remains one of the most difficult issues in neuro-oncology. While most prior research has focused on multimodal fusion or clinical data, we introduce a modality-specific dee...
Increased vulnerabilities brought about by the explosive growth of the Internet of Things (IoT) call for improved security measures to protect systems from attacks. Intrusion Detection Systems (IDS) that use machine learning (ML) are essential for id...
Process mining has become an essential technique for analyzing and optimizing business processes by leveraging digital traces recorded by enterprise systems. However, traditional process mining methods rely heavily on the concept of case identifiers,...
This study applies a model from the normal variance–mean mixture family to capture daily demand in urban bike sharing. We fit both a mixture-based model and a standard Gaussian model to the logarithmic returns of total daily rental counts from...
This paper presents a comparative empirical analysis of three modeling approaches applied to the forecasting of Morocco’s Real Effective Exchange Rate (REER): the ARIMA model, the Random Forest algorithm, and the Dynamic Factor Model (DFM). Uti...
Timely and precise identification of breast cancer is crucial for enhancing clinical outcomes; however, current AI systems frequently exhibit deficiencies in transparency, trustworthiness, and the capacity to assimilate varied data modalities. We int...
Within the rapidly advancing disciplines of natural language processing (NLP) and artificial intelligence (AI), this paper introduces an innovative approach aimed at improving access to health-related information. Fueled by the growing reliance on di...
Flooding in Turkey is intensifying due to both climate change and unregulated development. Despite national frameworks, local-level gaps persist in risk assessment, infrastructure, and adaptation planning. This study evaluates Turkey’s flood vu...
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