| Preoperative red cell distribution width and neutrophil-to-lymphocyte ratio predict survival in patients with epithelial ovarian cancer Z Li, N Hong, M Robertson, C Wang, G Jiang Scientific Reports 7, 2017 | 83 | 2017 |
| Forecasting the worldwide spread of COVID-19 based on logistic model and SEIR model X Zhou, X Ma, N Hong, L Su, Y Ma, J He, H Jiang, C Liu, G Shan, W Zhu, ... MedRxiv, 2020.03. 26.20044289, 2020 | 75 | 2020 |
| Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries N Hong, A Wen, DJ Stone, S Tsuji, PR Kingsbury, LV Rasmussen, ... Journal of Biomedical Informatics 99, 103310, 2019 | 63 | 2019 |
| Integrating structured and unstructured EHR data using an FHIR-based type system: a case study with medication data N Hong, A Wen, F Shen, S Sohn, S Liu, H Liu, G Jiang AMIA Summits on Translational Science Proceedings 2018, 74, 2018 | 53 | 2018 |
| Evaluation of the secondary transmission pattern and epidemic prediction of COVID-19 in the four metropolitan areas of China L Su, N Hong, X Zhou, J He, Y Ma, H Jiang, L Han, F Chang, G Shan, ... Frontiers in medicine 7, 171, 2020 | 50 | 2020 |
| The COVID-19 research landscape: measuring topics and collaborations using scientific literature J Wang, N Hong Medicine 99 (43), 2020 | 49 | 2020 |
| Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data N Hong, A Wen, F Shen, S Sohn, C Wang, H Liu, G Jiang JAMIA open 2 (4), 570-579, 2019 | 48 | 2019 |
| Early prediction of mortality, severity, and length of stay in the intensive care unit of sepsis patients based on sepsis 3.0 by machine learning models L Su, Z Xu, F Chang, Y Ma, S Liu, H Jiang, H Wang, D Li, H Chen, X Zhou, ... Frontiers in Medicine 8, 664966, 2021 | 39 | 2021 |
| State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review N Hong, C Liu, J Gao, L Han, F Chang, M Gong, L Su JMIR Medical Informatics 10 (3), e28781, 2022 | 33 | 2022 |
| Understanding the patient perspective of epilepsy treatment through text mining of online patient support groups K He, N Hong, S Lapalme-Remis, Y Lan, M Huang, C Li, L Yao Epilepsy & Behavior 94, 65-71, 2019 | 29 | 2019 |
| Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources L Liang, J Hu, G Sun, N Hong, G Wu, Y He, Y Li, T Hao, L Liu, M Gong Drug Safety 45 (5), 511-519, 2022 | 25 | 2022 |
| ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model Y Yu, KJ Ruddy, N Hong, S Tsuji, A Wen, ND Shah, G Jiang Journal of biomedical informatics 91, 103119, 2019 | 22 | 2019 |
| Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System … S Liu, Y Wang, A Wen, L Wang, N Hong, F Shen, S Bedrick, W Hersh, ... JMIR Medical Informatics 8 (10), e17376, 2020 | 20 | 2020 |
| Toward Optimal Heparin Dosing by Comparing Multiple Machine Learning Methods: Retrospective Study L Su, C Liu, D Li, J He, F Zheng, H Jiang, H Wang, M Gong, N Hong, ... JMIR medical informatics 8 (6), e17648, 2020 | 20 | 2020 |
| Coverage Evaluation of CTCAE for Capturing the Immune-related Adverse Events Leveraging Text Mining Technologies Y Yu, KJ Ruddy, S Tsuji, N Hong, H Liu, N Shah, G Jiang AMIA Summits on Translational Science Proceedings 2019, 771, 2019 | 20 | 2019 |
| Standardizing heterogeneous annotation corpora using HL7 FHIR for facilitating their reuse and integration in clinical NLP N Hong, A Wen, MR Mojarad, S Sohn, H Liu, G Jiang AMIA Annual Symposium Proceedings 2018, 574, 2018 | 19 | 2018 |
| Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma N Hong, N Zhang, H Wu, S Lu, Y Yu, L Hou, Y Lu, H Liu, G Jiang BMC medical informatics and decision making 18 (5), 81-88, 2018 | 17 | 2018 |
| Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study L Su, Z Zhang, F Zheng, P Pan, N Hong, C Liu, J He, W Zhu, Y Long, ... Respiratory Research 21 (1), 1-12, 2020 | 16 | 2020 |
| Development and validation of a risk prediction model for venous thromboembolism in lung cancer patients using machine learning H Lei, M Zhang, Z Wu, C Liu, X Li, W Zhou, B Long, J Ma, H Zhang, ... Frontiers in Cardiovascular Medicine 9, 845210, 2022 | 14 | 2022 |
| Automated population of an i2b2 clinical data warehouse using FHIR HR Solbrig, N Hong, SN Murphy, G Jiang AMIA Annual Symposium Proceedings 2018, 979, 2018 | 12 | 2018 |
