フォロー
Andrew Ward
Andrew Ward
Lead Data Scientist, Clint
確認したメール アドレス: clinthealth.com
タイトル
引用先
引用先
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population
A Ward, A Sarraju, S Chung, J Li, R Harrington, P Heidenreich, ...
NPJ digital medicine 3 (1), 125, 2020
602020
COVID-19 is associated with higher risk of venous thrombosis, but not arterial thrombosis, compared with influenza: Insights from a large US cohort
A Ward, A Sarraju, D Lee, K Bhasin, S Gad, R Beetel, S Chang, ...
PLoS One 17 (1), e0261786, 2022
282022
Prediction of prolonged opioid use after surgery in adolescents: insights from machine learning
A Ward, T Jani, E De Souza, D Scheinker, N Bambos, TA Anderson
Anesthesia & Analgesia 133 (2), 304-313, 2021
212021
Incidence of and factors associated with prolonged and persistent postoperative opioid use in children 0–18 years of age
A Ward, E De Souza, D Miller, E Wang, EC Sun, N Bambos, TA Anderson
Anesthesia & Analgesia 131 (4), 1237-1248, 2020
192020
Automatic sleep arousal identification from physiological waveforms using deep learning
D Miller, A Ward, N Bambos
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
172018
Algorithm-enabled, personalized glucose management for type 1 diabetes at the population scale: Prospective evaluation in clinical practice
D Scheinker, A Gu, J Grossman, A Ward, O Ayerdi, D Miller, J Leverenz, ...
JMIR diabetes 7 (2), e27284, 2022
142022
Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients
A Sarraju, A Ward, S Chung, J Li, D Scheinker, F Rodríguez
Open Heart 8 (2), e001802, 2021
142021
Physiological waveform imputation of missing data using convolutional autoencoders
D Miller, A Ward, N Bambos, D Scheinker, A Shin
2018 IEEE 20th international conference on E-health networking, applications …, 2018
132018
Improved individual and population-level HbA1c estimation using CGM data and patient characteristics
J Grossman, A Ward, JL Crandell, P Prahalad, DM Maahs, D Scheinker
Journal of Diabetes and its Complications 35 (8), 107950, 2021
102021
Learning health state transition probabilities via wireless body area networks
T Geller, YB David, E Khmelnitsky, I Ben-Gal, A Ward, D Miller, N Bambos
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
92019
Smart greedy distributed allocation in microgrids
I Bistritz, A Ward, Z Zhou, N Bambos
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
82019
Personalizing cholesterol treatment recommendations for primary cardiovascular disease prevention
A Sarraju, A Ward, J Li, A Valencia, L Palaniappan, D Scheinker, ...
Scientific Reports 12 (1), 23, 2022
72022
Optimal health monitoring via wireless body area networks
YB David, T Geller, E Khmelnitsky, I Ben-Gal, A Ward, D Miller, N Bambos
2018 IEEE Conference on Decision and Control (CDC), 6800-6805, 2018
72018
Development and implementation of a real-time bundle-adherence dashboard for central line-associated bloodstream infections
A Chemparathy, MG Seneviratne, A Ward, S Mirchandani, R Li, R Mathew, ...
Pediatric Quality & Safety 6 (4), e431, 2021
62021
Differences in central line–associated bloodstream infection rates based on the criteria used to count central line days
D Scheinker, A Ward, AY Shin, GM Lee, R Mathew, LF Donnelly
JAMA 323 (2), 183-185, 2020
62020
Real-world utilization of guideline-directed genetic testing in inherited cardiovascular diseases
M Longoni, K Bhasin, A Ward, D Lee, MK Nisson, S Bhatt, F Rodriguez, ...
Frontiers in Cardiovascular Medicine 10, 2023
42023
Smart greedy distributed energy allocation: a random games approach
I Bistritz, A Ward, Z Zhou, N Bambos
IEEE Transactions on Automatic Control 67 (5), 2208-2220, 2021
42021
Operationally-informed hospital-wide discharge prediction using machine learning
A Ward, A Mann, J Vallon, G Escobar, N Bambos, A Schuler
2020 IEEE International Conference on E-Health Networking, Application …, 2021
42021
Noninvasive identification of hypotension using convolutional-deconvolutional networks
D Miller, A Ward, N Bambos, A Shin, D Scheinker
2019 IEEE International Conference on E-health Networking, Application …, 2019
42019
Learning to emulate an expert projective cone scheduler
A Ward, N Master, N Bambos
2019 American Control Conference (ACC), 292-297, 2019
42019
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20