Georgiou, Pantelis

Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

Peiffer-Smadja, N., Rawson, T. M., Ahmad, R., Buchard, A., Georgiou, P., Lescure, F.-X., Birgand, G., & Holmes, A. H. (2020) · Clinical Microbiology and Infection

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 561

Clinical safety and feasibility of the advanced bolus calculator for type 1 diabetes based on case-based reasoning: A 6-week nonrandomized single-arm pilot study

Reddy, M., Pesl, P., Xenou, M., Toumazou, C., Johnston, D., Georgiou, P., Herrero, P., & Oliver, N. (2016) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 70

Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator—in silico evaluation under intra-day variability

Herrero, P., Bondia, J., Adewuyi, O., Pesl, P., El-Sharkawy, M., Reddy, M., Toumazou, C., Oliver, N., & Georgiou, P. (2017) · Computer Methods and Programs in Biomedicine

Diabetes Management and ResearchDiabetes Management and Education

Cited by 63

A Composite Model of Glucagon-Glucose Dynamics for In Silico Testing of Bihormonal Glucose Controllers

Herrero, P., Georgiou, P., Oliver, N., Reddy, M., Johnston, D., & Toumazou, C. (2013) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchPancreatic function and diabetes

Cited by 55

Robust Fault Detection System for Insulin Pump Therapy Using Continuous Glucose Monitoring

Herrero, P., Calm, R., Vehí, J., Armengol, J., Georgiou, P., Oliver, N., & Tomazou, C. (2012) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchFault Detection and Control Systems

Cited by 52

Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability

Herrero, P., Pesl, P., Bondia, J., Reddy, M., Oliver, N., Georgiou, P., & Toumazou, C. (2015) · Computer Methods and Programs in Biomedicine

Diabetes Management and ResearchDiabetes Management and Education

Cited by 43

Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study

Karolcik, S., Manginas, V., Chanh, H. Q., Daniels, J., Giang, N. T., Huyen, V. N. T., Hoang, M. T. V., Phan Nguyen Quoc, K., Hernandez, B., Ming, D. K., et al. (2024) · eBioMedicine

Non-Invasive Vital Sign MonitoringMosquito-borne diseases and control

Cited by 18