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Kayley Abell-Hart
Kayley Abell-Hart
Verified email at stonybrook.edu
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Cited by
Year
Allele-specific chromatin recruitment and therapeutic vulnerabilities of ESR1 activating mutations
R Jeselsohn, JS Bergholz, M Pun, MI Cornwell, W Liu, A Nardone, T Xiao, ...
Cancer cell 33 (2), 173-186. e5, 2018
2382018
MAP3K4 controls the chromatin modifier HDAC6 during trophoblast stem cell epithelial-to-mesenchymal transition
RJ Mobley, D Raghu, LD Duke, K Abell-Hart, JS Zawistowski, K Lutz, ...
Cell reports 18 (10), 2387-2400, 2017
592017
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning
X Dong, J Deng, W Hou, S Rashidian, RN Rosenthal, M Saltz, JH Saltz, ...
Journal of biomedical informatics 116, 103725, 2021
242021
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning
X Dong, J Deng, S Rashidian, K Abell-Hart, W Hou, RN Rosenthal, ...
Journal of the American Medical Informatics Association 28 (8), 1683-1693, 2021
222021
Geospatial distribution and predictors of mortality in hospitalized patients with COVID-19: a cohort study
Open Forum Infectious Diseases 7 (10), ofaa436, 2020
182020
PI3Kβ controls immune evasion in PTEN-deficient breast tumours
JS Bergholz, Q Wang, Q Wang, M Ramseier, S Prakadan, W Wang, ...
Nature 617 (7959), 139-146, 2023
152023
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction
X Dong, R Wong, W Lyu, K Abell-Hart, J Deng, Y Liu, JG Hajagos, ...
Artificial intelligence in medicine 135, 102439, 2023
152023
A multimodal transformer: Fusing clinical notes with structured EHR data for interpretable in-hospital mortality prediction
W Lyu, X Dong, R Wong, S Zheng, K Abell-Hart, F Wang, C Chen
AMIA Annual Symposium Proceedings 2022, 719, 2022
142022
Where opioid overdose patients live far from treatment: geospatial analysis of underserved populations in New York state
K Abell-Hart, S Rashidian, D Teng, RN Rosenthal, F Wang
JMIR Public Health and Surveillance 8 (4), e32133, 2022
72022
Detecting miscoded diabetes diagnosis codes in electronic health records for quality improvement: temporal deep learning approach
S Rashidian, K Abell-Hart, J Hajagos, R Moffitt, V Lingam, V Garcia, ...
JMIR medical informatics 8 (12), e22649, 2020
72020
Generating longitudinal synthetic ehr data with recurrent autoencoders and generative adversarial networks
S Sun, F Wang, S Rashidian, T Kurc, K Abell-Hart, J Hajagos, W Zhu, ...
Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2021
62021
Disease phenotyping using deep learning: A diabetes case study
S Rashidian, J Hajagos, R Moffitt, F Wang, X Dong, K Abell-Hart, K Noel, ...
arXiv preprint arXiv:1811.11818, 2018
52018
Association of opioid use disorder with 2016 presidential voting patterns: cross-sectional study in New York State at census tract level
A Xiang, W Hou, S Rashidian, RN Rosenthal, K Abell-Hart, X Zhao, ...
JMIR Public Health and Surveillance 7 (4), e23426, 2021
22021
Investigation of commonly used aortic aneurysm growth rate metrics: Comparing their suitability for clinical and research applications
K Abell-Hart, J Hajagos, V Garcia, J Kaan, W Zhu, M Saltz, J Saltz, ...
Plos one 18 (8), e0289078, 2023
2023
A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State
F Murphy, K Abell-Hart, F Wang
2021 IEEE International Conference on Big Data (Big Data), 5614-5619, 2021
2021
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks
K Abell-Hart, J Hajagos, W Zhu, M Saltz, J Saltz
Data Management, Polystores, and Analytics for Healthcare, 153, 2021
2021
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