Hoor Jalo

Doctoral Student at Biomedical Signals and Systems

Hoor Jalo is a PhD student in the Biomedical Signals and Systems research group. Her research is a part of the digital health research group. The aim of the project is to develop AI-based decision support systems for stroke patients in the prehospital settings. The use of advanced decision models can potentially decrease the time required to deliver the right treatment to the patients, which could decrease the severity of stroke respectively.

Source: chalmers.se
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Showing 3 publications

2024

Reviewing Challenges in Specifying Interoperability Requirement in Procurement of Health Information Systems

Mattias Seth, Hoor Jalo, Eunji Lee et al
Studies in Health Technology and Informatics. Vol. 310, p. 8-12
Journal article
2023

Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol

Hoor Jalo, Mattias Seth, Minna Pikkarainen et al
BMJ Open. Vol. 13 (5), p. e069660-
Journal article

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