ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure O Akbilgic, L Butler, I Karabayir, PP Chang, DW Kitzman, A Alonso, ... European Heart Journal-Digital Health 2 (4), 626-634, 2021 | 69 | 2021 |
Artificial intelligence applied to ECG improves heart failure prediction accuracy O Akbilgic, L Butler, I Karabayir, P Chang, D Kitzman, A Alonso, L Chen, ... Journal of the American College of Cardiology 77 (18_Supplement_1), 3045-3045, 2021 | 16 | 2021 |
Predicting Parkinson’s disease and its pathology via simple clinical variables I Karabayir, L Butler, SM Goldman, R Kamaleswaran, F Gunturkun, ... Journal of Parkinson's Disease 12 (1), 341-351, 2022 | 11 | 2022 |
Machine learning models improve prediction of large vessel occlusion and mechanical thrombectomy candidacy in acute ischemic stroke S Thomas, P De la Pena, L Butler, O Akbilgic, DM Heiferman, R Garg, ... Journal of Clinical Neuroscience 91, 383-390, 2021 | 11 | 2021 |
Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic L Butler, I Karabayir, MS Tootooni, M Afshar, A Goldberg, O Akbilgic International Journal of Medical Informatics 158, 104662, 2022 | 9 | 2022 |
Externally validated deep learning model to identify prodromal Parkinson’s disease from electrocardiogram I Karabayir, F Gunturkun, L Butler, SM Goldman, R Kamaleswaran, ... Scientific Reports 13 (1), 12290, 2023 | 8 | 2023 |
National‐scale predictions of plant assemblages via community distribution models: leveraging published data to guide future surveys L Butler, RA Sanderson Journal of Applied Ecology 59 (6), 1559-1571, 2022 | 8 | 2022 |
A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction L Butler, I Karabayir, DW Kitzman, A Alonso, GH Tison, LY Chen, ... Cardiovascular Digital Health Journal 4 (6), 183-190, 2023 | 6 | 2023 |
AI-based preeclampsia detection and prediction with electrocardiogram data L Butler, F Gunturkun, L Chinthala, I Karabayir, MS Tootooni, B Bakir-Batu, ... Frontiers in Cardiovascular Medicine 11, 1360238, 2024 | 5 | 2024 |
Feasibility of remote monitoring for fatal coronary heart disease from single lead ECG L Butler, T Celik, I Karabayir, L Chinthala, MS Tootooni, DD McManus, ... Cardiovascular Digital Health Journal 4 (5), S1, 2023 | 4 | 2023 |
PO-703-04 ECG-AI can predict risk for heart failure with both preserved and reduced ejection fraction I Karabayir, L Butler, D Kitzman, A Alonso, G Tison, LY Chen, G Clifford, ... Heart Rhythm 19 (5), S447, 2022 | 4 | 2022 |
Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy I Karabayir, G Wilkie, T Celik, L Butler, L Chinthala, A Ivanov, TAM Simas, ... American Journal of Obstetrics & Gynecology MFM 6 (4), 101337, 2024 | 3 | 2024 |
Logistic Regression is also a Black Box. Machine Learning Can Help L Butler, F Gunturkun, I Karabayir, O Akbilgic International Workshop on Health Intelligence, 323-331, 2021 | 3 | 2021 |
The role of frailty index in predicting readmission risk following total joint replacement using light gradient boosting machines J Slezak, L Butler, O Akbilgic Informatics in Medicine Unlocked 25, 100657, 2021 | 3 | 2021 |
Time-dependent ECG-AI prediction of fatal coronary heart disease L Butler, A Ivanov, T Celik, I Karabayir, L Chinthala, SM Tootooni, ... medRxiv, 2023.10. 11.23296910, 2023 | 2 | 2023 |
Feasibility of remote monitoring for fatal coronary heart disease using Apple Watch ECGs L Butler, A Ivanov, T Celik, I Karabayir, L Chinthala, MM Hudson, KK Ness, ... Cardiovascular Digital Health Journal, 2024 | 1 | 2024 |
Artificial intelligence and species distribution ensemble models inform resource interactions with offshore wind development EC Ingram, L Butler bioRxiv, 2024.06. 10.598232, 2024 | 1 | 2024 |
A real world evidence for the performance of an ecg-ai based heart failure risk predictor O Akbilgic, I Karabayir, L Butler, F Güntürkün, L Chinthala, JL Jefferies, ... Journal of the American College of Cardiology 81 (8_Supplement), 727-727, 2023 | 1 | 2023 |
A rapid method for quantifying small‐scale vegetation patch structure to complement conventional quadrat surveys L Butler, RA Sanderson Applied Vegetation Science 24 (3), e12610, 2021 | 1 | 2021 |
Generalisable methods for vegetation classification using computer-generated Pseudoquadrats L Butler, RA Sanderson Dr | 1 | 2018 |