Deep learning for brain tumor classification JS Paul, AJ Plassard, BA Landman, D Fabbri SPIE Medical Imaging, 2017 | 288 | 2017 |
Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks L Zhang, D Fabbri, R Upender, D Kent Sleep 42 (11), zsz159, 2019 | 102 | 2019 |
A scalable framework to detect personal health mentions on Twitter Z Yin, D Fabbri, ST Rosenbloom, B Malin Journal of medical Internet research 17 (6), e4305, 2015 | 89 | 2015 |
A comparison of rule-based and machine learning approaches for classifying patient portal messages RM Cronin, D Fabbri, JC Denny, ST Rosenbloom, GP Jackson International journal of medical informatics 105, 110-120, 2017 | 81 | 2017 |
Artificial intelligence in health: new opportunities, challenges, and practical implications AYS Lau, P Staccini Yearbook of medical informatics 28 (01), 174-178, 2019 | 63 | 2019 |
Classifying patient portal messages using Convolutional Neural Networks L Sulieman, D Gilmore, C French, RM Cronin, GP Jackson, M Russell, ... Journal of biomedical informatics 74, 59-70, 2017 | 63 | 2017 |
Toward content-based image retrieval with deep convolutional neural networks JES Sklan, AJ Plassard, D Fabbri, BA Landman Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and …, 2015 | 63 | 2015 |
Explanation-based auditing D Fabbri, K LeFevre arXiv preprint arXiv:1109.6880, 2011 | 55 | 2011 |
Predicting discharge dates from the NICU using progress note data MW Temple, CU Lehmann, D Fabbri Pediatrics 136 (2), e395-e405, 2015 | 47 | 2015 |
Automated Classification of Consumer Health Information Needs in Patient Portal Messages R Cronin, D Fabbri, J Denny, G Jackson American Medical Informatics Association, 2015 | 45 | 2015 |
The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation Z Yin, M Harrell, J Warner, Q Chen, D Fabbri, BA Malin Journal of the American Medical Informatics Association, 2018 | 43 | 2018 |
Development of an automated phenotyping algorithm for hepatorenal syndrome JD Koola, SE Davis, O Al-Nimri, SK Parr, D Fabbri, BA Malin, SB Ho, ... Journal of biomedical informatics 80, 87-95, 2018 | 39 | 2018 |
Implications of Selection Bias Due to Delayed Study Entry in Clinical Genomic Studies S Brown, JA Lavery, R Shen, AS Martin, KL Kehl, SM Sweeney, ... JAMA oncology, 2021 | 36 | 2021 |
Development of a natural language processing algorithm to identify and evaluate transgender patients in electronic health record systems JM Ehrenfeld, KG Gottlieb, LB Beach, SE Monahan, D Fabbri Ethnicity & Disease 29 (Suppl 2), 441, 2019 | 36 | 2019 |
Explaining accesses to electronic medical records using diagnosis information D Fabbri, K LeFevre Journal of the American Medical Informatics Association 20 (1), 52-60, 2013 | 33 | 2013 |
A system for automated determination of perioperative patient acuity L Zhang, D Fabbri, TA Lasko, JM Ehrenfeld, JP Wanderer Journal of medical systems 42, 1-11, 2018 | 31 | 2018 |
A Crowdsourcing Framework for Medical Data Sets C Ye, J Coco, B Malin, T Lasko, L Novak, J Denny, Y Vorobeychik, ... American Medical Informatics AssociationAMIA, 2018 | 31 | 2018 |
Complexity of medical decision-making in care provided by surgeons through patient portals JR Robinson, A Valentine, C Carney, D Fabbri, GP Jackson Journal of Surgical Research 214, 93-101, 2017 | 29 | 2017 |
Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews C Ye, D Fabbri Journal of Biomedical Informatics, 2018 | 26 | 2018 |
Correlation between surrogate end points and overall survival in a multi-institutional clinicogenomic cohort of patients with non–small cell lung or colorectal cancer KL Kehl, GJ Riely, EM Lepisto, JA Lavery, JL Warner, ML LeNoue-Newton, ... JAMA Network Open 4 (7), e2117547-e2117547, 2021 | 23 | 2021 |