| The eleventh and twelfth data releases of the Sloan Digital Sky Survey: Final data from SDSS-III S Alam, FD Albareti, CA Prieto, F Anders, SF Anderson, T Anderton, ... The Astrophysical Journal Supplement Series 219 (1), 12, 2015 | 673 | 2015 |
| Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU Q Mao, M Jay, JL Hoffman, J Calvert, C Barton, D Shimabukuro, L Shieh, ... BMJ open 8 (1), e017833, 2018 | 299 | 2018 |
| VIDE: the Void IDentification and Examination toolkit PM Sutter, G Lavaux, N Hamaus, A Pisani, BD Wandelt, M Warren, ... Astronomy and Computing 9, 1-9, 2015 | 154 | 2015 |
| Using electronic health record collected clinical variables to predict medical intensive care unit mortality J Calvert, Q Mao, JL Hoffman, M Jay, T Desautels, H Mohamadlou, ... Annals of Medicine and Surgery 11, 52-57, 2016 | 84 | 2016 |
| A Cosmic Void Catalog of SDSS DR12 BOSS Galaxies Q Mao, AA Berlind, RJ Scherrer, MC Neyrinck, R Scoccimarro, JL Tinker, ... The Astrophysical Journal 835 (2), 161, 2017 | 72 | 2017 |
| The lensing and temperature imprints of voids on the cosmic microwave background YC Cai, M Neyrinck, Q Mao, JA Peacock, I Szapudi, AA Berlind Monthly Notices of the Royal Astronomical Society 466 (3), 3364-3375, 2017 | 66 | 2017 |
| Cosmic Voids in the SDSS DR12 BOSS Galaxy Sample: the Alcock–Paczyński test Q Mao, AA Berlind, RJ Scherrer, MC Neyrinck, R Scoccimarro, JL Tinker, ... The Astrophysical Journal 835 (2), 160, 2017 | 65 | 2017 |
| KELT-3b: A Hot Jupiter Transiting AV= 9.8 Late-F Star J Pepper, RJ Siverd, TG Beatty, BS Gaudi, KG Stassun, J Eastman, ... The Astrophysical Journal 773 (1), 64, 2013 | 64 | 2013 |
| Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting T Desautels, J Calvert, J Hoffman, Q Mao, M Jay, G Fletcher, C Barton, ... Biomedical Informatics Insights 2017 (9), 0-0, 2017 | 61 | 2017 |
| High-performance detection and early prediction of septic shock for alcohol-use disorder patients J Calvert, T Desautels, U Chettipally, C Barton, J Hoffman, M Jay, Q Mao, ... Annals of Medicine and Surgery 8, 50-55, 2016 | 59 | 2016 |
| KELT-6b: AP∼ 7.9 day hot Saturn transiting a metal-poor star with a long-period companion KA Collins, JD Eastman, TG Beatty, RJ Siverd, BS Gaudi, J Pepper, ... The Astronomical Journal 147 (2), 39, 2014 | 53 | 2014 |
| From finance to cosmology: The copula of large-scale structure RJ Scherrer, AA Berlind, Q Mao, CK McBride The Astrophysical Journal Letters 708 (1), L9, 2009 | 51 | 2009 |
| Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus A Allen, Z Iqbal, A Green-Saxena, M Hurtado, J Hoffman, Q Mao, R Das BMJ Open Diabetes Research and Care 10 (1), e002560, 2022 | 47 | 2022 |
| KELT-4Ab: AN INFLATED HOT JUPITER TRANSITING THE BRIGHT (V∼ 10) COMPONENT OF A HIERARCHICAL TRIPLE JD Eastman, TG Beatty, RJ Siverd, JMO Antognini, MT Penny, ... The Astronomical Journal 151 (2), 45, 2016 | 45 | 2016 |
| Experiment of measuring electronic property of solar cells Q MAO, L PAN, J CHEN, S LU Physics Experimentation, 2004 | 31* | 2004 |
| Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study CF Tso, A Garikipati, A Green-Saxena, Q Mao, R Das JMIR Public Health and Surveillance 7 (6), e28265, 2021 | 27 | 2021 |
| Early prediction of severe acute pancreatitis using machine learning R Thapa, Z Iqbal, A Garikipati, A Siefkas, J Hoffman, Q Mao, R Das Pancreatology 22 (1), 43-50, 2022 | 26 | 2022 |
| Machine learning as a precision-medicine approach to prescribing covid-19 pharmacotherapy with remdesivir or corticosteroids C Lam, A Siefkas, NS Zelin, G Barnes, RP Dellinger, JL Vincent, G Braden, ... Clinical therapeutics 43 (5), 871-885, 2021 | 25 | 2021 |
| Early prediction of central line associated bloodstream infection (CLABSI) using machine learning K Rahmani, A Garikipati, G Barnes, J Hoffman, J Calvert, Q Mao, R Das American Journal of Infection Control, 2021 | 23 | 2021 |
| A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients A Allen, A Siefkas, E Pellegrini, H Burdick, G Barnes, J Calvert, Q Mao, ... Applied Sciences 11 (12), 5576, 2021 | 23 | 2021 |
Ritankar DasVerified email at fortahealth.com
