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Panayiotis Petousis

Showing results (1-10 of 19) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction ModelsPanayiotis Petousis, Arash Naeim, Ali Mosleh, et al.
Artificial Intelligence in Medicine|September 25, 2016
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian networkPanayiotis Petousis, Simon X Han, Denise Aberle, et al.
Artificial Intelligence in Health : First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. AIH (Workshop) (1St : 2018 : Stockholm, Sweden)|August 1, 2019
Generating Reward Functions Using IRL Towards Individualized Cancer ScreeningPanayiotis Petousis, Simon X Han, William Hsu, et al.
Frontiers in Big Data|October 4, 2021
TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal SettingsDavid Gordon, Panayiotis Petousis, Henry Zheng, et al.
Studies in Health Technology and Informatics|October 3, 2025
MedPromptEval: A Comprehensive Framework for Systematic Evaluation of Clinical Question Answering SystemsAl Rahrooh, Anders O Garlid, Panayiotis Petousis, et al.
JNCI Cancer Spectrum|May 23, 2024
RE: A predictive model for lung cancer screening nonadherence in a community setting healthcare networkYannan Lin, Ruiwen Ding, Panayiotis Petousis, et al.
IEEE Access : Practical Innovations, Open Solutions|August 6, 2020
Using Sequential Decision Making to Improve Lung Cancer Screening PerformancePanayiotis Petousis, Audrey Winter, William Speier, et al.
Journal of Biomedical Informatics|November 24, 2023
Towards a framework for interoperability and reproducibility of predictive modelsAl Rahrooh, Anders O Garlid, Kelly Bartlett, et al.
Computers in Biology and Medicine|December 31, 2016
A Bayesian model for estimating multi-state disease progressionShiwen Shen, Simon X Han, Panayiotis Petousis, et al.
Nature Communications|June 27, 2024
Data-driven prediction of continuous renal replacement therapy survivalDavina Zamanzadeh, Jeffrey Feng, Panayiotis Petousis, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction ModelsPanayiotis Petousis, Arash Naeim, Ali Mosleh, et al.
Artificial Intelligence in Medicine|September 25, 2016
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian networkPanayiotis Petousis, Simon X Han, Denise Aberle, et al.
Artificial Intelligence in Health : First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. AIH (Workshop) (1St : 2018 : Stockholm, Sweden)|August 1, 2019
Generating Reward Functions Using IRL Towards Individualized Cancer ScreeningPanayiotis Petousis, Simon X Han, William Hsu, et al.
Frontiers in Big Data|October 4, 2021
TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal SettingsDavid Gordon, Panayiotis Petousis, Henry Zheng, et al.
Studies in Health Technology and Informatics|October 3, 2025
MedPromptEval: A Comprehensive Framework for Systematic Evaluation of Clinical Question Answering SystemsAl Rahrooh, Anders O Garlid, Panayiotis Petousis, et al.
JNCI Cancer Spectrum|May 23, 2024
RE: A predictive model for lung cancer screening nonadherence in a community setting healthcare networkYannan Lin, Ruiwen Ding, Panayiotis Petousis, et al.
IEEE Access : Practical Innovations, Open Solutions|August 6, 2020
Using Sequential Decision Making to Improve Lung Cancer Screening PerformancePanayiotis Petousis, Audrey Winter, William Speier, et al.
Journal of Biomedical Informatics|November 24, 2023
Towards a framework for interoperability and reproducibility of predictive modelsAl Rahrooh, Anders O Garlid, Kelly Bartlett, et al.
Computers in Biology and Medicine|December 31, 2016
A Bayesian model for estimating multi-state disease progressionShiwen Shen, Simon X Han, Panayiotis Petousis, et al.
Nature Communications|June 27, 2024
Data-driven prediction of continuous renal replacement therapy survivalDavina Zamanzadeh, Jeffrey Feng, Panayiotis Petousis, et al.
Pageof 2