| A longitudinal big data approach for precision health SM Schüssler-Fiorenza Rose, K Contrepois, KJ Moneghetti, W Zhou, ... Nature medicine 25 (5), 792-804, 2019 | 417 | 2019 |
| Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial DW Shimabukuro, CW Barton, MD Feldman, SJ Mataraso, R Das BMJ open respiratory research 4 (1), e000234, 2017 | 381 | 2017 |
| Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial H Burdick, C Lam, S Mataraso, A Siefkas, G Braden, RP Dellinger, ... Computers in biology and medicine 124, 103949, 2020 | 175 | 2020 |
| Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study L Ryan, C Lam, S Mataraso, A Allen, A Green-Saxena, E Pellegrini, ... Annals of Medicine and Surgery 59, 207-216, 2020 | 84 | 2020 |
| A racially unbiased, machine learning approach to prediction of mortality: algorithm development study A Allen, S Mataraso, A Siefkas, H Burdick, G Braden, RP Dellinger, ... JMIR public health and surveillance 6 (4), e22400, 2020 | 55 | 2020 |
| A machine learning approach to predict deep venous thrombosis among hospitalized patients L Ryan, S Mataraso, A Siefkas, E Pellegrini, G Barnes, A Green-Saxena, ... Clinical and Applied Thrombosis/Hemostasis 27, 1076029621991185, 2021 | 38 | 2021 |
| Cost and mortality impact of an algorithm-driven sepsis prediction system J Calvert, J Hoffman, C Barton, D Shimabukuro, M Ries, U Chettipally, ... Journal of medical economics 20 (6), 646-651, 2017 | 34 | 2017 |
| A machine learning approach to identifying patients with pulmonary hypertension using real-world electronic health records E Kogan, EM Didden, E Lee, A Nnewihe, D Stamatiadis, S Mataraso, ... International Journal of Cardiology 374, 95-99, 2023 | 24 | 2023 |
| Data-driven longitudinal characterization of neonatal health and morbidity D De Francesco, JD Reiss, J Roger, AS Tang, AL Chang, M Becker, ... Science translational medicine 15 (683), eadc9854, 2023 | 24 | 2023 |
| Predicting pulmonary embolism among hospitalized patients with machine learning algorithms L Ryan, J Maharjan, S Mataraso, G Barnes, J Hoffman, Q Mao, J Calvert, ... Pulmonary circulation 12 (1), e12013, 2022 | 24 | 2022 |
| Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low-and middle-income countries CA Espinosa, W Khan, R Khanam, S Das, J Khalid, J Pervin, MP Kasaro, ... Science advances 9 (21), eade7692, 2023 | 19 | 2023 |
| Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity NG Ravindra, C Espinosa, E Berson, T Phongpreecha, P Zhao, M Becker, ... npj Digital Medicine 6 (1), 171, 2023 | 17 | 2023 |
| Large-scale correlation network construction for unraveling the coordination of complex biological systems M Becker, H Nassar, C Espinosa, IA Stelzer, D Feyaerts, E Berson, ... Nature computational science 3 (4), 346-359, 2023 | 16 | 2023 |
| Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature E Berson, A Sreenivas, T Phongpreecha, A Perna, FC Grandi, L Xue, ... Nature Communications 14 (1), 4947, 2023 | 13 | 2023 |
| Is machine learning a better way to identify COVID-19 patients who might benefit from hydroxychloroquine treatment?—the IDENTIFY trial H Burdick, C Lam, S Mataraso, A Siefkas, G Braden, RP Dellinger, ... Journal of clinical medicine 9 (12), 3834, 2020 | 13 | 2020 |
| COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients M Stewart, C Rodriguez-Watson, A Albayrak, J Asubonteng, A Belli, ... PLoS One 16 (3), e0248128, 2021 | 9 | 2021 |
| Quantitative estimate of cognitive resilience and its medical and genetic associations T Phongpreecha, D Godrich, E Berson, C Espinosa, Y Kim, B Cholerton, ... Alzheimer's research & therapy 15 (1), 192, 2023 | 5 | 2023 |
| Prediction of neuropathologic lesions from clinical data T Phongpreecha, B Cholerton, S Bukhari, AL Chang, D De Francesco, ... Alzheimer's & Dementia 19 (7), 3005-3018, 2023 | 5 | 2023 |
| Systems and methods for automatically notifying a caregiver that a patient requires medical intervention R Das, JS Calvert, SJ Mataraso US Patent App. 17/022,951, 2022 | 5 | 2022 |
| Systems and methods for automatically identifying a candidate patient for enrollment in a clinical trial R Das, JS Calvert, SJ Mataraso US Patent App. 17/022,986, 2022 | 5 | 2022 |
