18 citations · 23 across the 2 of their papers we have counts for
6 papers
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study
Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim +3
Purpose. Elevations in initially obtained serum lactate levels are strong predictors of mortality in critically ill patients. Identifying patients whose serum lactate levels are mo…
Blood lactate concentration prediction in critical care patients: handling missing values
Behrooz Mamandipoor, Mahshid Majd, Monica Moz +1
Blood lactate concentration is a strong indicator of mortality risk in critically ill patients. While frequent lactate measurements are necessary to assess patient's health state,…
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley +3
Of the 2652 articles considered, 106 met the inclusion criteria. Review of the included papers resulted in identification of 43 chronic diseases, which were then further classified…
Processing of Electronic Health Records using Deep Learning: A review
Venet Osmani, Li Li, Matteo Danieletto +3
Availability of large amount of clinical data is opening up new research avenues in a number of fields. An exciting field in this respect is healthcare, where secondary use of heal…
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace
Raihana Ferdous, Venet Osmani, Oscar Mayora
Explosion of number of smartphone apps and their diversity has created a fertile ground to study behaviour of smartphone users. Patterns of app usage, specifically types of apps an…
Enabling Prescription-based Health Apps
Venet Osmani, Stefano Forti, Oscar Mayora +1
We describe an innovative framework for prescription of personalised health apps by integrating Personal Health Records (PHR) with disease-specific mobile applications for managing…