13 citations · 18 across the 4 of their papers we have counts for
4 papers
Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms
Maitham G. Yousif, Hector J. Castro, John Martin +4
The COVID-19 pandemic has had far-reaching implications for global public health. As we continue to grapple with its consequences, it becomes increasingly clear that post-COVID-19…
Characterizing Pulmonary Fibrosis Patterns in Post-COVID-19 Patients through Machine Learning Algorithms
John Martin, Hayder A. Albaqer, Fadhil G. Al-Amran +3
The COVID-19 pandemic has left a lasting impact on global healthcare systems, with increasing evidence of pulmonary fibrosis emerging as a post-infection complication. This study p…
Long-term Neurological Sequelae in Post-COVID-19 Patients: A Machine Learning Approach to Predict Outcomes
Hayder A. Albaqer, Kadhum J. Al-Jibouri, John Martin +3
The COVID-19 pandemic has brought to light a concerning aspect of long-term neurological complications in post-recovery patients. This study delved into the investigation of such n…
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Xi Lin, Paul Szenher, John D. Martin +1
Route planning is essential to mobile robot navigation problems. In recent years, deep reinforcement learning (DRL) has been applied to learning optimal planning policies in stocha…