A research collaboration between researchers from Westminster International University in Tashkent (WIUT) and UoW, London receives Top Award at International Symposium on Bioinformatics and Biomedicine. The paper entitled ‘A New Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit’ received the Best Oral Presentation Award at the International Symposium on Bioinformatics and Biomedicine (BioInfoMed'2020).
The authors of the paper are Nodira Nazyrova, Ikboljon Sobirov and Dr Abdumalik Djumanov from the School of Law, Technology and Education at WIUT, and Mahmoud Aldraimli and Professor Thierry Chaussalet from the School of Computer Science and Engineering and the Health Innovation Ecosystem (HIE) at the University of Westminster.
Institute of Biophysics and Biomedical Engineering at the Bulgarian Academy of Sciences, the University Multidisciplinary Hospital, and the Union of Scientists in Bulgaria hosted the symposium on October 8-10, 2020. It gathered hundreds of participants from universities around the world to present their state-of-the-art research and innovation in the field of biomedicine, bioinformatics, computer technologies, public health, and quality of life.
The paper uses a data science approach to build and evaluate the performance of over one hundred machine learning models to predict mortality for around fifty thousand ICU admissions extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) repository. Nodira Nazyrova, Ikboljon Sobirov and Mahmoud Aldraimli conducted the analyses and model building, while Abdumalik Djumanov and Thierry Chaussalet took on a supervisory role. The presentation itself was prepared by Mahmoud and delivered by Nodira.
The work is part of the project ‘Intelligent Predictive modelling of Healthcare Events’, led by Prof Thierry Chaussalet and supported by a Collaborative Research Project grant from WIUT, with the overall objective to support and strengthen research at WIUT and research active staff mobility between WIUT and UW.
Talking about the event, Nodira Nazyrova, Lecturer in Business Information Technology at WIUT, commented: “Building Machine Learning models requires expert computing resource. Despite the lockdown milestone halfway through the project, we pulled it together and sustained our momentum by replacing physical access to computing power with a virtual one that worked well.”
Professor Thierry Chaussalet, who also leads the HIE and the Health and Social Care Modelling Group at Westminster, added: “None of this would have happened without the talent and drive of everyone at WIUT and Westminster. There is no doubt there is incredible research strength at WIUT, ready to be ignited.”
The research team members continue their joint research activities focusing on other aspects of the healthcare system modeling.