| Causal inference and counterfactual prediction in machine learning for actionable healthcare M Prosperi, Y Guo, M Sperrin, JS Koopman, JS Min, X He, S Rich, ... Nature Machine Intelligence 2 (7), 369-375, 2020 | 260 | 2020 |
| Big data hurdles in precision medicine and precision public health M Prosperi, J Min, J Bian, F Modave BMC Medical Informatics and Decision Making 2018 (18), 139, 2018 | 178 | 2018 |
| Characterizing COVID-19 and influenza illnesses in the real world via person-generated health data A Shapiro, N Marinsek, I Clay, B Bradshaw, E Ramirez, J Min, A Trister, ... Patterns 2 (1), 2021 | 55 | 2021 |
| Phylodynamic applications in 21st century global infectious disease research BD Rife, C Mavian, X Chen, M Ciccozzi, M Salemi, J Min, MCF Prosperi Global health research and policy 2, 1-10, 2017 | 51 | 2017 |
| Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models X Du, J Min, CP Shah, R Bishnoi, WR Hogan, DJ Lemas International journal of medical informatics 139, 104140, 2020 | 31 | 2020 |
| Reported adverse events with painkillers: data mining of the US Food and Drug Administration adverse events reporting system J Min, V Osborne, A Kowalski, M Prosperi Drug safety 41, 313-320, 2018 | 31 | 2018 |
| Visual programming for next-generation sequencing data analytics F Milicchio, R Rose, J Bian, J Min, M Prosperi BioData mining 9, 1-17, 2016 | 29 | 2016 |
| Changes in patterns of mortality rates and years of life lost due to firearms in the United States, 1999 to 2016: A joinpoint analysis HM Bailey, Y Zuo, F Li, J Min, K Vaddiparti, M Prosperi, J Fagan, S Galea, ... PLoS One 14 (11), e0225223, 2019 | 14 | 2019 |
| Measuring COVID-19 and influenza in the real world via person-generated health data N Marinsek, A Shapiro, I Clay, B Bradshaw, E Ramirez, J Min, A Trister, ... medRxiv, 2020.05. 28.20115964, 2020 | 11 | 2020 |
| Injury burden in the United States: accurate, reliable, and timely surveillance using electronic health care data J Min, KK Gurka, B Kalesan, J Bian, M Prosperi American journal of public health 109 (12), 1702-1706, 2019 | 11 | 2019 |
| The global spread of Middle East respiratory syndrome: an analysis fusing traditional epidemiological tracing and molecular phylodynamics J Min, E Cella, M Ciccozzi, A Pelosi, M Salemi, M Prosperi Global Health Research and Policy 1, 1-14, 2016 | 9 | 2016 |
| Prediction of self-reported depression scores using person-generated health data from a virtual 1-year mental health observational study M Makhmutova, R Kainkaryam, M Ferreira, J Min, M Jaggi, I Clay Proceedings of the 2021 Workshop on Future of Digital Biomarkers, 4-11, 2021 | 8 | 2021 |
| Predicting changes in depression severity using the PSYCHE-D (prediction of severity change-depression) model involving person-generated health data: longitudinal case-control … M Makhmutova, R Kainkaryam, M Ferreira, J Min, M Jaggi, I Clay JMIR mHealth and uHealth 10 (3), e34148, 2022 | 7 | 2022 |
| Risk of health morbidity for the uninsured: 10-year evidence from a large hospital center in Boston, Massachusetts Z Chen, J Min, J Bian, M Wang, L Zhou, M Prosperi International Journal for Quality in Health Care 31 (5), 325-330, 2019 | 7 | 2019 |
| Are Preregistration and Registered Reports Vulnerable to Hacking? J Bian, JS Min, M Prosperi, M Wang Epidemiology 31 (3), e32, 2020 | 6 | 2020 |
| Clinical correlates of workplace injury occurrence and recurrence in adults Z Chen, M Prosperi, J Bian, J Min, M Wang, C Li Plos one 14 (9), e0222603, 2019 | 4 | 2019 |
| Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis JN Fishe, J Bian, Z Chen, H Hu, J Min, F Modave, M Prosperi Journal of Asthma 57 (11), 1155-1167, 2020 | 3 | 2020 |
| A prospective real-world study exploring associations between passively collected tracker data and headache burden among individuals with tension-type headache and migraine CJ Cerrada, JS Min, L Constantin, S Hitier, I Igracki Turudic, ... Pain and Therapy, 1-18, 2022 | 2 | 2022 |
| PSYCHE-D: predicting change in depression severity using person-generated health data M Makhmutova, R Kainkaryam, M Ferreira, J Min, M Jaggi, I Clay Available at SSRN 3889996, 2022 | 1 | 2022 |
| Health-Related Burden of Illness Associated with Excessive Daytime Sleepiness in Patients with Osa Compliant with Cpap Treatment M Grandner, C Stack, J Min, R Saad, E Leary, L Eldemir, D Hyman Chest 160 (4), A2419-A2420, 2021 | 1 | 2021 |
Mattia ProsperiUniversity of FloridaEmail verificata su ufl.edu
