Classification of Asthma Severity and Medication Using TensorFlow and Multilevel Databases. - Quan T. Do; Tran Cao Son; Jamil M. Chaudri (EUSPN/ICTH, 2017)

Personalized Prediction of Asthma Severity and Asthma Attack for a Personalized Treatment Regimen. - Quan T. Do; Alexa K. Doig; Tran Cao Son; Jamil M. Chaudri (EMBC, 2018)

Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case. - Quan T. Do; Son Tran; Alexa K. Doig (IEEE BigData, 2019)

Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers' Risk Scores. - Quan T. Do; Alexa K. Doig; Tran Cao Son (EMBC, 2019)

Predicting Lung Healthiness Risk Scores to Identify Probability of an Asthma Attack. - Quan T. Do; Alexa K. Doig; Tran Cao Son; Jamil M. Chaudri (EUSPN/ICTH, 2019)

Binary and Categorical Models for automatic Acute Respiratory Distress Syndrome Detection. - Kirill Lipatov; Quan T. Do; Bradley Erickson; Brian W. Pickering; Vitaly Herasevich (AMIA, 2021)

Classification of Respiratory Conditions using Auscultation Sound. - Quan T. Do; Kirill Lipatov; Hsin-Yi Wang; Brian W. Pickering; Vitaly Herasevich (EMBC, 2021)

Are We Ready for Video Recognition and Computer Vision in the Intensive Care Unit? A Survey. - Alzbeta Glancova; Quan T. Do; Devang K. Sanghavi; Pablo Moreno Franco; Neethu Gopal; Lindsey M. Lehman; Yue Dong 003; Brian W. Pickering; Vitaly Herasevich (Appl. Clin. Inform., 2021)

Creating Computer Vision Models for Respiratory Status Detection. - Quan T. Do; Jamil M. Chaudri (EMBC, 2022)