| Consultation length and no-show prediction for improving appointment scheduling efficiency at a cardiology clinic: a data analytics approach S Srinivas, H Salah International Journal of Medical Informatics 145, 104290, 2021 | 44 | 2021 |
| Explainable machine learning framework for predicting long-term cardiovascular disease risk among adolescents H Salah, S Srinivas Scientific Reports 12 (1), 21905, 2022 | 23 | 2022 |
| Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling H Salah, S Srinivas Computers & Industrial Engineering 169, 108270, 2022 | 23 | 2022 |
| Predicting inpatient length of stay in Western New York health service area using machine learning algorithms H Salah State University of New York at Binghamton, 2017 | 11 | 2017 |
| Comparing four online symptom checking tools: Preliminary results H Li, H Salah IIE Annual Conference. Proceedings, 1979-1984, 2017 | 4 | 2017 |
| Improving cardiac care delivery using predictive and prescriptive analytics H Salah University of Missouri--Columbia, 2022 | 1 | 2022 |
| Erratum to: Consumer electric energy management strategies and preferences in emergency demand response: Results from a survey H Li, H Salah, Z Zhang Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power …, 2017 | 1 | 2017 |
| Consumer Electric Energy Management Strategies and Preferences in Emergency Demand Response: Results from a Survey H Li, H Salah, Z Zhang Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power …, 2017 | | 2017 |
