| Clinical characteristics and prognostic factors for intensive care unit admission of patients with COVID-19: retrospective study using machine learning and natural language … JL Izquierdo, J Ancochea, Savana COVID-19 Research Group, ... Journal of medical Internet research 22 (10), e21801, 2020 | 125 | 2020 |
| Plant–frugivore networks are less specialized and more robust at forest–farmland edges than in the interior of a tropical forest S Menke, K Böhning‐Gaese, M Schleuning Oikos 121 (10), 1553-1566, 2012 | 114 | 2012 |
| Earthworms and cadmium–heavy metal resistant gut bacteria as indicators for heavy metal pollution in soils? M Šrut, S Menke, M Höckner, S Sommer Ecotoxicology and environmental safety 171, 843-853, 2019 | 95 | 2019 |
| Gut microbiomes of free‐ranging and captive Namibian cheetahs: diversity, putative functions, and occurrence of potential pathogens Wasimuddin, S Menke, J Melzheimer, S Thalwitzer, S Heinrich, B Wachter, ... Molecular ecology, 2017 | 88 | 2017 |
| Home-made cost effective preservation buffer is a better alternative to commercial preservation methods for microbiome research S Menke, MAF Gillingham, K Wilhelm, S Sommer Frontiers in microbiology 8, 232336, 2017 | 82 | 2017 |
| Oligotyping reveals differences between gut microbiomes of free-ranging sympatric Namibian carnivores (Acinonyx jubatus, Canis mesomelas) on a bacterial species-like level S Menke, Wasimuddin, M Meier, J Melzheimer, JKE Mfune, S Heinrich, ... Frontiers in microbiology 5, 526, 2014 | 49 | 2014 |
| Assessing the performance of clinical natural language processing systems: development of an evaluation methodology L Canales, S Menke, S Marchesseau, A D’Agostino, C del Rio-Bermudez, ... JMIR Medical Informatics 9 (7), e20492, 2021 | 41 | 2021 |
| Shifts in the gut microbiome observed in wildlife faecal samples exposed to natural weather conditions: Lessons from time‐series analyses using next‐generation sequencing for … S Menke, M Meier, S Sommer Methods in Ecology and Evolution 6 (9), 1080-1087, 2015 | 38 | 2015 |
| Offspring microbiomes differ across breeding sites in a panmictic species MAF Gillingham, A Béchet, F Cézilly, K Wilhelm, M Rendón-Martos, ... Frontiers in Microbiology 10, 35, 2019 | 36 | 2019 |
| Effects of host traits and land-use changes on the gut microbiota of the Namibian black-backed jackal (Canis mesomelas) S Menke, M Meier, JKE Mfune, J Melzheimer, B Wachter, S Sommer FEMS Microbiology Ecology 93 (11), fix123, 2017 | 31 | 2017 |
| Impact of winter enclosures on the gut bacterial microbiota of red deer in the Bavarian Forest National Park S Menke, M Heurich, M Henrich, K Wilhelm, S Sommer Wildlife Biology 1 (doi: 10.2981/wlb.00503), 2019 | 24 | 2019 |
| Phylogeny-and abundance-based metrics allow for the consistent comparison of core gut microbiome diversity indices across host species A Risely, MAF Gillingham, A Béchet, S Brändel, AC Heni, M Heurich, ... Frontiers in Microbiology 12, 659918, 2021 | 21 | 2021 |
| Clinical characteristics and prognostic factors for ICU admission of patients with COVID-19 using machine learning and natural language processing JL Izquierdo, J Ancochea, Savana COVID-19 Research Group, ... medRxiv, 2020.05. 22.20109959, 2020 | 10 | 2020 |
| Evaluation of Natural Language Processing for the Identification of Crohn Disease–Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION … C Montoto, JP Gisbert, I Guerra, R Plaza, R Pajares Villarroya, ... JMIR Medical Informatics 10 (2), e30345, 2022 | 7 | 2022 |
| Symptoms timeline and outcomes in amyotrophic lateral sclerosis using artificial intelligence T Segura, IH Medrano, S Collazo, C Maté, C Sguera, ... Scientific Reports 13 (1), 702, 2023 | 4 | 2023 |
| Major Adverse Cardiovascular Events in Coronary Type 2 Diabetic Patients: Identification of Associated Factors Using Electronic Health Records and Natural Language Processing C González-Juanatey, M Anguita-Sánchez, V Barrios, I Núñez-Gil, ... Journal of clinical medicine 11 (20), 6004, 2022 | 3 | 2022 |
| Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network G Argüello-González, J Aquino-Esperanza, D Salvador, R Bretón-Romero, ... BMC Medical Informatics and Decision Making 23 (1), 216, 2023 | 1 | 2023 |
| Metagenomic analysis of coprolites from three Late Pleistocene megaherbivores from the southwestern United States TO Prys-Jones, TN Furstenau, AJ Abraham, IN Shaffer, CJ Sobek, ... BioRxiv, 2022.05. 06.490351, 2022 | 1 | 2022 |
| Clinical characteristics and prognostic factors for icu admission of patientswith covid-19: a retrospective study using machine learning and natural language processing JL Izquierdo Alonso, J Ancochea Bermúdez, I Hernández Medrano, ... | 1 | 2020 |
| Clinical characteristics and management of patients with secondary hyperparathyroidism undergoing hemodialysis: a feasibility analysis of electronic health records using … A Ortiz, J Portoles, MD Pino-Pino, J Barea, M López, P de Sequera, ... Kidney Diseases 9 (3), 187-196, 2023 | | 2023 |
Mark GillinghamMax Planck Institute for OrnithologyVerified email at bi.mpg.de
