Gusztav Belteki

I am a Neonatologist (doctor looking after critically ill newborn babies) who is particularly interested in mechanical ventilation. I work at the Neonatal Intensive Care Unit in Rosie Hospital, Cambridge, United Kingdom. I am also a hobby Python enthusiast who finds computer programming fascinating.

Over the last 2-3 years I have been interested in the high-throughput data that different pieces of equipment of modern intensive, e.g. ventilators and monitors, generate but that are not routinely stored or analyzed. I have been using Python and its data science libraries (Jupyter notebook, numpy, pandas, matplotlib, scipy and scikit-learn) to analyse the data I download from the equipment supporting my patients. With the help of these data analysis tools I process, analyse and visualise very large datasets, e.g. tabular data consisting of millions of rows. I am using these data for research projects, for teaching nurses and junior doctors and also for feeding back to the clinical care team about ventilation. My ultimate aim is to provide clinicians with simple and easy-to-interpret reports that inform them about the quality of patient’s mechanical ventilation and the patient’s interactions with the ventilator.