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Liam Butler PhD
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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
462021
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
122021
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
82022
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
72021
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
52022
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
52022
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
32023
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
32023
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
32022
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
22023
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
22021
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
12023
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
12021
Generalisable methods for vegetation classification using computer-generated Pseudoquadrats
L Butler, RA Sanderson Dr
12018
Artificial intelligence and the electrocardiogram
O Akbilgic, L Butler, EZ Soliman
Intelligence-Based Cardiology and Cardiac Surgery, 165-171, 2024
2024
Machine Learning (ML) Prediction of Parkinson's Disease (PD) Risk and Nigral Neuron Density
I Karabayir, L Butler, S Goldman, R Kamaleswaran, F Gunturkun, R Davis, ...
MOVEMENT DISORDERS 36, S278-S279, 2021
2021
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
2021
Abstract P506: 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, D Heiferman, R Garg, ...
Stroke 52 (Suppl_1), AP506-AP506, 2021
2021
Models of upland vegetation communities at multiple spatial scales
L Butler
Newcastle University, 2020
2020
Artificial Intelligence In Preeclampsia Detection with Electrocardiogram Data
L Butler, F Gunturkun, I Karabayir, L Chintala, MS Tootooni, B Bakir-Batu, ...
Available at SSRN 4495145, 0
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