معرفی
Mattias Ohlsson is a Visiting Professor at the School of Information Technology, Halmstad University. His research focuses on machine learning and deep learning for analyzing diverse health data, particularly patient trajectory modeling with multimodal approaches.
- Primary affiliation: IT - Computer Department
- Collaboration areas: Healthcare sector and industry
His work emphasizes explainable AI in clinical contexts, including survival analysis, cardiac event prediction, and cross-domain applications in satellite poverty mapping. Recent projects explore temporal healthcare data analysis using transformer architectures and self-supervised learning.
Key article trends include:
- 2025: AI integration with medical expertise for emergency diagnostics
- 2024: Survival model evaluation, temporal data challenges, and graft failure prediction
- 2023: Multi-robot routing optimization and fatty liver disease etiology modeling
- 2022: Heart failure mortality algorithms and anomaly detection systems
Current affiliations include the CAISR Health research group, with technical expertise spanning CNNs, transformers, and robust imputation methods.
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