| A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories D Placido, B Yuan, JX Hjaltelin, C Zheng, AD Haue, PJ Chmura, C Yuan, ... Nature medicine 29 (5), 1113-1122, 2023 | 136 | 2023 |
| Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data HC Thorsen-Meyer, D Placido, BS Kaas-Hansen, AP Nielsen, T Lange, ... NPJ digital medicine 5 (1), 142, 2022 | 17 | 2022 |
| Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records BS Kaas‐Hansen, D Placido, CL Rodríguez, HC Thorsen‐Meyer, ... Basic & clinical pharmacology & toxicology 131 (4), 282-293, 2022 | 6 | 2022 |
| Multi-cancer risk stratification based on national health data: a retrospective modelling and validation study AW Jung, PC Holm, K Gaurav, JX Hjaltelin, D Placido, LH Mortensen, ... The Lancet Digital Health 6 (6), e396-e406, 2024 | 4 | 2024 |
| Using machine learning to identify patients at high risk of inappropriate drug dosing in periods with renal dysfunction BS Kaas-Hansen, C Leal Rodríguez, D Placido, HC Thorsen-Meyer, ... Clinical Epidemiology, 213-223, 2022 | 4 | 2022 |
| Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients D Placido, HC Thorsen-Meyer, BS Kaas-Hansen, R Reguant, S Brunak PLOS digital health 2 (6), e0000116, 2023 | 2 | 2023 |
| Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives IF Jørgensen, AD Haue, D Placido, JX Hjaltelin, S Brunak Annual Review of Biomedical Data Science 7 (1), 251-276, 2024 | | 2024 |
| Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases VP Muse, D Placido, AD Haue, S Brunak BMC Medical Informatics and Decision Making 24 (1), 62, 2024 | | 2024 |
| AI predicts risk of pancreatic cancer from disease trajectories using real-world electronic health records (EHRs) from Denmark and the USA D Placido, B Yuan, JX Hjaltelin, AD Haue, PJ Chmura, C Yuan, J Kim, ... CANCER RESEARCH 82 (12), 2022 | | 2022 |
| Abstract LB550: AI predicts risk of pancreatic cancer from disease trajectories using real-world electronic health records (EHRs) from Denmark and the USA D Placido, B Yuan, JX Hjaltelin, AD Haue, PJ Chmura, C Yuan, J Kim, ... Cancer Research 82 (12_Supplement), LB550-LB550, 2022 | | 2022 |
| Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter] BS Kaas-Hansen, C Leal Rodríguez, D Placido, HC Thorsen-Meyer, ... Clinical Epidemiology, 765-766, 2022 | | 2022 |
| Eliciting drug safety signals from patient records: a language-agnostic approach B Kaas-Hansen, D Placido, C Rodriguez, H Thorsen-Meyer, S Gentile, ... EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY 78 (SUPPL 1), S15-S16, 2022 | | 2022 |
