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Panayiotis Petousis
Panayiotis Petousis
未知所在单位机构
在 g.ucla.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network
P Petousis, SX Han, D Aberle, AAT Bui
Artificial intelligence in medicine 72, 42-55, 2016
642016
Using sequential decision making to improve lung cancer screening performance
P Petousis, A Winter, W Speier, DR Aberle, W Hsu, AAT Bui
Ieee Access 7, 119403-119419, 2019
602019
A Bayesian model for estimating multi-state disease progression
S Shen, SX Han, P Petousis, RE Weiss, F Meng, AAT Bui, W Hsu
Computers in biology and medicine 81, 111-120, 2017
202017
TSI-GNN: extending graph neural networks to handle missing data in temporal settings
D Gordon, P Petousis, H Zheng, D Zamanzadeh, AAT Bui
Frontiers in big Data 4, 693869, 2021
122021
Generating reward functions using IRL towards individualized cancer screening
P Petousis, SX Han, W Hsu, AAT Bui
International Workshop on Artificial Intelligence in Health, 213-227, 2018
112018
Clinical course and outcome after kidney transplantation in patients with C3 glomerulonephritis due to CFHR5 nephropathy
E Frangou, A Varnavidou-Nicolaidou, P Petousis, A Soloukides, ...
Nephrology Dialysis Transplantation 34 (10), 1780-1788, 2019
82019
Autopopulus: a novel framework for autoencoder imputation on large clinical datasets
DJ Zamanzadeh, P Petousis, TA Davis, SB Nicholas, KC Norris, KR Tuttle, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
52021
Evaluating the impact of uncertainty on risk prediction: Towards more robust prediction models
P Petousis, A Naeim, A Mosleh, W Hsu
AMIA Annual Symposium Proceedings 2018, 1461, 2018
52018
Data-driven prediction of continuous renal replacement therapy survival
D Zamanzadeh, J Feng, P Petousis, A Vepa, M Sarrafzadeh, ...
Nature Communications 15 (1), 5440, 2024
42024
Towards a framework for interoperability and reproducibility of predictive models
A Rahrooh, AO Garlid, K Bartlett, W Coons, P Petousis, W Hsu, AAT Bui
Journal of Biomedical Informatics 149, 104551, 2024
32024
Optimizing cancer screening with POMDPs
P Petousis
University of California, Los Angeles, 2019
22019
RE: A predictive model for lung cancer screening nonadherence in a community setting healthcare network
Y Lin, R Ding, P Petousis, AE Prosper, DR Aberle, W Hsu
JNCI Cancer Spectrum 8 (3), 2024
12024
A Big Data COVID-19 literature pattern discovery using NLP
P Petousis, V Stylianou
bioRxiv, 2022.06. 01.494451, 2022
12022
Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease
P Petousis, D Gordon, SB Nicholas, AAT Bui
arXiv preprint arXiv:2410.12047, 2024
2024
PP01. 36 Applying a Lung Cancer Screening Model on a Real-World Population
WR Coons, P Petousis, AE Prosper, SX Han, AA Bui
Journal of Thoracic Oncology 19 (7), e21, 2024
2024
Early prediction of end-stage kidney disease using electronic health record data: a machine learning approach with a 2-year horizon
P Petousis, JM Wilson, AV Gelvezon, S Alam, A Jain, L Prichard, ...
JAMIA open 7 (1), ooae015, 2024
2024
Kidney Failure Risk Equation Prediction in a Real-World Population with CKD: FR-PO936
L Shpaner, P Petousis, O Duru, KB Daratha, KC Norris, KR Tuttle, ...
Journal of the American Society of Nephrology 34 (11S), 665, 2023
2023
Dynamic Bayesian Networks (DBN) Predicted≥ 40% Decline in eGFR over Six Years: SA-PO1130
P Petousis, D Gordon, KB Daratha, KC Norris, KR Tuttle, SB Nicholas, ...
Journal of the American Society of Nephrology 34 (11S), 1048, 2023
2023
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset
D Gordon, P Petousis, AO Garlid, K Norris, K Tuttle, SB Nicholas, AAT Bui
arXiv preprint arXiv:2304.10175, 2023
2023
WCN23-1183 DISPARITIES IN CHRONIC KIDNEY DISEASE RISKS: DATA FROM THE CURE-CKD COVID-19 REGISTRY
S Nicholas, R Follett, T Tacorda, X Wang, D Ruenger, P Petousis, B Zhu, ...
Kidney International Reports 8 (3), S453-S454, 2023
2023
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