日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Continuous sepsis trajectory prediction using tensor-reduced physiological signals

利用张量降维生理信号进行连续脓毒症轨迹预测

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-68901-x
Alge, Olivia P; Pickard, Joshua; Zhang, Winston; Cheng, Shuyang; Derksen, Harm; Omenn, Gilbert S; Gryak, Jonathan; VanEpps, J Scott; Najarian, Kayvan
炎症/感染
信号转导
败血症
发表日期：2024
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Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals

利用特权信息和连续生理信号预测脓毒症病程

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics14030234
Alge, Olivia P; Gryak, Jonathan; VanEpps, J Scott; Najarian, Kayvan
炎症/感染
信号转导
败血症
发表日期：2024
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Prediction of pediatric peanut oral food challenge outcomes using machine learning

利用机器学习预测儿童花生口服食物激发试验结果

期刊:Journal of Allergy and Clinical Immunology Global
影响因子:
doi:10.1016/j.jacig.2024.100252
Gryak, Jonathan; Georgievska, Aleksandra; Zhang, Justin; Najarian, Kayvan; Ravikumar, Rajan; Sanders, Georgiana; Schuler, Charles F 4th
发表日期：2024
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Increasing efficiency of SVMp+ for handling missing values in healthcare prediction

提高 SVMp+ 在医疗保健预测中处理缺失值的效率

期刊:PLOS Digital Health
影响因子:7.7
doi:10.1371/journal.pdig.0000281
Zhang, Yufeng; Gao, Zijun; Wittrup, Emily; Gryak, Jonathan; Najarian, Kayvan
发表日期：2023
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Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data

利用电子健康记录和生理波形数据预测心脏手术患者术后病情恶化

期刊:Anesthesiology
影响因子:9.1
doi:10.1097/ALN.0000000000004345
Mathis, Michael R; Engoren, Milo C; Williams, Aaron M; Biesterveld, Ben E; Croteau, Alfred J; Cai, Lingrui; Kim, Renaid B; Liu, Gang; Ward, Kevin R; Najarian, Kayvan; Gryak, Jonathan
发表日期：2022
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An interpretable neural network for outcome prediction in traumatic brain injury

用于预测创伤性脑损伤预后的可解释神经网络

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-022-01953-z
Minoccheri, Cristian; Williamson, Craig A; Hemmila, Mark; Ward, Kevin; Stein, Erica B; Gryak, Jonathan; Najarian, Kayvan
神经科学
发表日期：2022
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Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features

基于深度学习和滤波特征的集成方法在X射线冠状动脉造影血管分割中的应用

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-022-00734-4
Gao, Zijun; Wang, Lu; Soroushmehr, Reza; Wood, Alexander; Gryak, Jonathan; Nallamothu, Brahmajee; Najarian, Kayvan
发表日期：2022
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A deep learning framework for automated detection and quantitative assessment of liver trauma

一种用于自动检测和定量评估肝脏创伤的深度学习框架

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-022-00759-9
Farzaneh, Negar; Stein, Erica B; Soroushmehr, Reza; Gryak, Jonathan; Najarian, Kayvan
发表日期：2022
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A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

一种用于临床决策支持系统的分层专家指导机器学习框架：以创伤性脑损伤预后为例

期刊:npj Digital Medicine
影响因子:15.1
doi:10.1038/s41746-021-00445-0
Farzaneh, Negar; Williamson, Craig A; Gryak, Jonathan; Najarian, Kayvan
神经科学
发表日期：2021
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Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome

利用部分可用特权信息和标签不确定性进行学习：在急性呼吸窘迫综合征检测中的应用

期刊:IEEE Journal of Biomedical and Health Informatics
影响因子:6.8
doi:10.1109/JBHI.2020.3008601
Sabeti, Elyas; Drews, Joshua; Reamaroon, Narathip; Warner, Elisa; Sjoding, Michael W; Gryak, Jonathan; Najarian, Kayvan
发表日期：2021
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