Quan T. Do

According to our database, Quan T. Do authored at least 9 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Creating Computer Vision Models for Respiratory Status Detection.

Quan T. Do, Jamil M. Chaudri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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, Brian W. Pickering, Vitaly Herasevich

Appl. Clin. Inform., 2021

Classification of Respiratory Conditions using Auscultation Sound.

Quan T. Do, Kirill Lipatov, Hsin-Yi Wang, Brian W. Pickering, Vitaly Herasevich

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Binary and Categorical Models for automatic Acute Respiratory Distress Syndrome Detection.

Kirill Lipatov, Quan T. Do, Bradley Erickson, Brian W. Pickering, Vitaly Herasevich

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers' Risk Scores.

Quan T. Do, Alexa K. Doig, Tran Cao Son

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case.

Quan T. Do, Son Tran, Alexa K. Doig

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Classification of Asthma Severity and Medication Using TensorFlow and Multilevel Databases.

Quan T. Do, Tran Cao Son, Jamil M. Chaudri

Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017