| 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 | 173 | 2020 |
| Extensive exchange of fungal cultivars between sympatric species of fungus‐growing ants AM Green, UG Mueller, RMM Adams Molecular Ecology 11 (2), 191-195, 2002 | 128 | 2002 |
| Heavy water and 15N labelling with NanoSIMS analysis reveals growth rate‐dependent metabolic heterogeneity in chemostats SH Kopf, SE McGlynn, A Green‐Saxena, Y Guan, DK Newman, ... Environmental microbiology 17 (7), 2542-2556, 2015 | 103 | 2015 |
| Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS) S Le, E Pellegrini, A Green-Saxena, C Summers, J Hoffman, J Calvert, ... Journal of Critical Care 60, 96-102, 2020 | 96 | 2020 |
| Patterns of 15N assimilation and growth of methanotrophic ANME‐2 archaea and sulfate‐reducing bacteria within structured syntrophic consortia revealed by FISH … VJ Orphan, KA Turk, AM Green, CH House Environmental microbiology 11 (7), 1777-1791, 2009 | 96 | 2009 |
| Global Molecular Analyses of Methane Metabolism in Methanotrophic Alphaproteobacterium, Methylosinus trichosporium OB3b. Part II. Metabolomics and 13C … S Yang, JB Matsen, M Konopka, A Green-Saxena, J Clubb, M Sadilek, ... Frontiers in microbiology 4, 70, 2013 | 91 | 2013 |
| 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 | 85 | 2020 |
| Garden sharing and garden stealing in fungus-growing ants RMM Adams, UG Mueller, AK Holloway, AM Green, J Narozniak Naturwissenschaften 87, 491-493, 2000 | 81 | 2000 |
| Nitrate-based niche differentiation by distinct sulfate-reducing bacteria involved in the anaerobic oxidation of methane A Green-Saxena, AE Dekas, NF Dalleska, VJ Orphan The ISME journal 8 (1), 150-163, 2014 | 78 | 2014 |
| Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data … H Burdick, E Pino, D Gabel-Comeau, A McCoy, C Gu, J Roberts, S Le, ... BMJ health & care informatics 27 (1), e100109, 2020 | 75 | 2020 |
| Neural crest and cancer: Divergent travelers on similar paths KL Gallik, RW Treffy, LM Nacke, K Ahsan, M Rocha, A Green-Saxena, ... Mechanisms of development 148, 89-99, 2017 | 67 | 2017 |
| 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 | 66 | 2022 |
| 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 | 57 | 2020 |
| Widespread nitrogen fixation in sediments from diverse deep‐sea sites of elevated carbon loading AE Dekas, DA Fike, GL Chadwick, A Green‐Saxena, J Fortney, ... Environmental microbiology 20 (12), 4281-4296, 2018 | 55 | 2018 |
| Convolutional neural network model for intensive care unit acute kidney injury prediction S Le, A Allen, J Calvert, PM Palevsky, G Braden, S Patel, E Pellegrini, ... Kidney international reports 6 (5), 1289-1298, 2021 | 43 | 2021 |
| 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 | 40 | 2021 |
| Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from … H Burdick, E Pino, D Gabel-Comeau, C Gu, J Roberts, S Le, J Slote, ... BMC medical informatics and decision making 20, 1-10, 2020 | 36 | 2020 |
| Pseudofossils in relict methane seep carbonates resemble endemic microbial consortia JV Bailey, TD Raub, AN Meckler, BK Harrison, TMD Raub, AM Green, ... Palaeogeography, Palaeoclimatology, Palaeoecology 285 (1-2), 131-142, 2010 | 36 | 2010 |
| 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 | 34 | 2021 |
| Active sulfur cycling by diverse mesophilic and thermophilic microorganisms in terrestrial mud volcanoes of A zerbaijan A Green‐Saxena, A Feyzullayev, CRJ Hubert, J Kallmeyer, M Krüger, ... Environmental Microbiology 14 (12), 3271-3286, 2012 | 32 | 2012 |
Rachelle M.M. AdamsThe Ohio State UniversityПідтверджена електронна адреса в osu.edu
