| Classification of asthma severity and medication using TensorFlow and multilevel databases Q Do, TC Son, J Chaudri Procedia computer science 113, 344-351, 2017 | 34 | 2017 |
| Personalized prediction of asthma severity and asthma attack for a personalized treatment regimen QT Do, AK Doig, TC Son, JM Chaudri 2018 40th annual international conference of the IEEE engineering in …, 2018 | 16 | 2018 |
| Automatic generation of SQL queries Q Do, RK Agrawal, D Rao, VN Gudivada 2014 ASEE Annual Conference & Exposition, 24.221. 1-24.221. 11, 2014 | 14 | 2014 |
| Pressure injury prediction model using advanced analytics for at-risk hospitalized patients Q Do, K Lipatov, K Ramar, J Rasmusson, BW Pickering, V Herasevich Journal of patient safety 18 (7), e1083-e1089, 2022 | 12 | 2022 |
| Are we ready for video recognition and computer vision in the intensive care unit? a Survey A Glancova, QT Do, DK Sanghavi, PM Franco, N Gopal, LM Lehman, ... Applied clinical informatics 12 (01), 120-132, 2021 | 12 | 2021 |
| Big data and mHealth drive asthma self-management Q Do, S Tran, K Robinson 2015 International Conference on Computational Science and Computational …, 2015 | 11 | 2015 |
| Predicting lung healthiness risk scores to identify probability of an asthma attack Q Do, A Doig, TC Son, J Chaudri Procedia Computer Science 160, 424-431, 2019 | 7 | 2019 |
| Classification of respiratory conditions using auscultation sound QT Do, K Lipatov, HY Wang, BW Pickering, V Herasevich 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Creating Computer Vision Models for Respiratory Status Detection QT Do, J Chaudri 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| Reinforcement learning framework to identify cause of diseases-predicting asthma attack case Q Do, S Tran, A Doig 2019 IEEE International Conference on Big Data (Big Data), 4829-4838, 2019 | 5 | 2019 |
| Big data analysis: Why not an asthma app? Q Do, K Robinson, S Tran I n SITE 2015: Informing Science+ IT Education Conferences: USA, 155-170, 2015 | 5 | 2015 |
| Starter kit for geotagging and geovisualization in health care: resource paper Q Do, D Marc, M Plotkin, B Pickering, V Herasevich JMIR formative research 4 (12), e23379, 2020 | 4 | 2020 |
| Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers’ Risk Scores QT Do, AK Doig, TC Son 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 4 | 2019 |
| 1053: Survey of Perception of Using Video Recognition and Computer Vision in the Intensive Care Unit A Glancova, Q Do, D Sanghavi, PM Franco, A Sen, Y Dong, L Lehman, ... Critical Care Medicine 49 (1), 526, 2021 | 1 | 2021 |
| 1140: CLASSIFICATION OF IDIOPATHIC PULMONARY FIBROSIS USING CHEST RADIOGRAPHS AND DEEP LEARNING APPROACH Q Do, K Lipatov, M Herberts, B Pickering, B Bartholmai, A Limper, ... Critical Care Medicine 50 (1), 568, 2022 | | 2022 |
| Reinforcement Learning Framework to Identify Cause of Diseases: An Example of Predicting Asthma Attack Q Do New Mexico State University, 2019 | | 2019 |
| A Preliminary Report on Predicting Asthma Severity Level and Asthma Attack - A Deep Learning Approach Q T Do, T Son, J McDonald Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics …, 2016 | | 2016 |
Tran Cao SonProfessor of Computer Science, New Mexico State University在 nmsu.edu 的电子邮件经过验证
