| Use of multi-modal data and machine learning to improve cardiovascular disease care S Amal, L Safarnejad, JA Omiye, I Ghanzouri, JH Cabot, EG Ross Frontiers in cardiovascular medicine 9, 840262, 2022 | 56 | 2022 |
| Accurately differentiating between patients with COVID-19, patients with other viral infections, and healthy individuals: multimodal late fusion learning approach M Xu, L Ouyang, L Han, K Sun, T Yu, Q Li, H Tian, L Safarnejad, H Zhang, ... Journal of Medical Internet Research 23 (1), e25535, 2021 | 44* | 2021 |
| Iocminer: Automatic extraction of indicators of compromise from twitter A Niakanlahiji, L Safarnejad, R Harper, BT Chu 2019 IEEE International Conference on Big Data (Big Data), 4747-4754, 2019 | 35 | 2019 |
| Contrasting misinformation and real-information dissemination network structures on social media during a health emergency L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen American journal of public health 110 (S3), S340-S347, 2020 | 28 | 2020 |
| FFT based sum-product algorithm for decoding LDPC lattices L Safarnejad, MR Sadeghi IEEE Communications Letters 16 (9), 1504-1507, 2012 | 26 | 2012 |
| Identifying influential factors in the discussion dynamics of emerging health issues on social media: computational study L Safarnejad, Q Xu, Y Ge, A Bagavathi, S Krishnan, S Chen JMIR Public Health and Surveillance 6 (3), e17175, 2020 | 17 | 2020 |
| A multiple feature category data mining and machine learning approach to characterize and detect health misinformation on social media L Safarnejad, Q Xu, Y Ge, S Chen IEEE Internet Computing 25 (5), 43-51, 2021 | 16 | 2021 |
| Effects of information veracity and message frames on information dissemination: A case study of 2016 Zika epidemic discussion on Twitter Q Xu, S Chen, L Safarnejad Health communication 36 (12), 1560-1570, 2021 | 14 | 2021 |
| Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records I Ghanzouri, S Amal, V Ho, L Safarnejad, J Cabot, CG Brown-Johnson, ... Scientific Reports 12 (1), 13364, 2022 | 12 | 2022 |
| Comparación de las estructuras de difusión de información errónea y verídica en las redes sociales durante una emergencia de salud pública L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen Revista Panamericana de Salud Pública 45, e61, 2021 | 3 | 2021 |
| Event Periscope: a novel pipeline to analyze impact of real-world events on Twitter discussions L Safarnejad, Y Ge, Q Xu, S Chen Ponencia presentada en: International Conference on Social Computing …, 2019 | 3 | 2019 |
| Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen Revista Panamericana de Salud Publica= Pan American Journal of Public Health …, 2021 | 1 | 2021 |
| Machine Learning Can Predict Recurrence Patterns After Liver Transplantation in Hepatocellular Carcinoma Patients: Analysis from the US Multicenter HCC Transplant Consortium RR Narayan, L Safarnejad, B Tran, M Nguyen, E Ross, V Agopian, ... ANNALS OF SURGICAL ONCOLOGY 29 (SUPPL 2), 348-349, 2022 | | 2022 |
