Dr Gusztav Belteki

I am a consultant neonatologist (doctor looking after sick newborn infants) who is interested in mechanical ventilation of sick babies. I work in the Neonatal Intensive Care Unit in Rosie Hospital, Cambridge. I am also a hobby Python enthusiast who finds programming fascinating.

Over the last two years I have become interested in the high-throughput data that modern ventilators generate but that are not stored or analyzed. I have been using Python and its data science libraries: numpy, pandas, matplotlib, scipy and scikit learn) to analyse the data I download from the mechanical ventilators of my patients. I. With the help of the above data analysis tools I can now interpret, manipulate and visualize very large datasets, e.g. tabular data consisting of millions of rows. I am using these data for teaching nurses and junior doctors and also for feeding back to the clinical care team about ventilation. I am also using this method for research projects. My ultimate aim is to provide clinicians with simple and easy-to-interpret parameters that inform them about the quality of patient’s mechanical ventilation and the patient’s interactions with the ventilator over the previous hours or days of care.