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

Predicting Acute Kidney Injury with Nephrotoxic Burden in Noncritical Patients: An Internal and External Validation Study

利用肾毒性负荷预测非危重患者急性肾损伤:一项内部和外部验证研究

Adiyeke, Esra; Ren, Yuanfang; Shickel, Benjamin; Ruppert, Matthew M; Guan, Ziyuan; Kane-Gill, Sandra L; Murugan, Raghavan; Amatullah, Nabihah; Stottlemyer, Britney A; Tran, Tiffany L; Ricketts, Dan; Horvat, Christopher M; Rashidi, Parisa; Ozrazgat-Baslanti, Tezcan; Bihorac, Azra

Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling

利用状态空间模型实时预测重症监护病房患者的病情严重程度和治疗需求

Contreras, Miguel; Silva, Brandon; Shickel, Benjamin; Davidson, Andrea; Ozrazgat-Baslanti, Tezcan; Ren, Yuanfang; Guan, Ziyuan; Balch, Jeremy; Zhang, Jiaqing; Bandyopadhyay, Sabyasachi; Loftus, Tyler; Khezeli, Kia; Lipori, Gloria; Sena, Jessica; Nerella, Subhash; Bihorac, Azra; Rashidi, Parisa

Equipping mathematical models for hospital dynamics using information theory

利用信息论构建医院动态数学模型

Balch, Jeremy A; Brandberg, Jackson G; Andris, Robert T; Mesner, Ian G; Nametz, Daniel C; Megjhani, Murad; Ruppert, Matthew M; Hu, Die; Clark, Matthew T; Shickel, Benjamin; Ranard, Benjamin L; Delos, John B; Albers, David J; Loftus, Tyler J; Park, Soojin; Randall Moorman, J

Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification

机器学习模型在急性肾损伤风险分类中的系统评价和荟萃分析

Cama-Olivares, Augusto; Braun, Chloe; Takeuchi, Tomonori; O'Hagan, Emma C; Kaiser, Kathryn A; Ghazi, Lama; Chen, Jin; Forni, Lui G; Kane-Gill, Sandra L; Ostermann, Marlies; Shickel, Benjamin; Ninan, Jacob; Neyra, Javier A

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22

在重症监护医学中应用人工智能:22位专家的共识

Cecconi, Maurizio; Greco, Massimiliano; Shickel, Benjamin; Angus, Derek C; Bailey, Heatherlee; Bignami, Elena; Calandra, Thierry; Celi, Leo Anthony; Einav, Sharon; Elbers, Paul; Ercole, Ari; Gómez, Hernando; Gong, Michelle Ng; Komorowski, Matthieu; Liu, Vincent; Park, Soojin; Sarwal, Aarti; Seymour, Christopher W; Zampieri, Fernando G; Taccone, Fabio Silvio; Vincent, Jean-Louis; Bihorac, Azra

Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

剖腹探查术手术记录中手术概念多标签文档分类的语言模型:算法开发研究

Balch, Jeremy A; Desaraju, Sasank S; Nolan, Victoria J; Vellanki, Divya; Buchanan, Timothy R; Brinkley, Lindsey M; Penev, Yordan; Bilgili, Ahmet; Patel, Aashay; Chatham, Corinne E; Vanderbilt, David M; Uddin, Rayon; Bihorac, Azra; Efron, Philip; Loftus, Tyler J; Rahman, Protiva; Shickel, Benjamin

Honoring Advance Directives: A Scoping Review of Adherence and Impact on Value of Care

尊重预立医疗指示:依从性及其对医疗价值影响的范围界定审查

Chatham, Angus Hayes; Balch, Jeremy A; Hong, Philip; Baskaran, Naveen; Manganiello, Lauren; Abbott, Kenneth L; Brown, Marcia; Bihorac, Azra; Efron, Philip A; Shickel, Benjamin; Moseley, Ray; Loftus, Tyler J

Enhancing Predictive Accuracy of Allograft Outcomes: Beyond Traditional Clinical and Biopsy Scoring Methods

提高同种异体移植结果预测准确性:超越传统临床和活检评分方法

Gupta, Akshita; Naglah, Ahmed; Jen, Kuang-Yu; Rosenberg, Avi; Rodrigues, Luis; Clapp, William L; Alquadan, Kawther; Tomaszewski, John E; Shickel, Benjamin; Sarder, Pinaki

Explainable Feature Embeddings from Histopathology Foundation Models: A Case Study for End Stage Kidney Disease Risk Analysis in Diabetic Nephropathy Patients

基于组织病理学基础模型的可解释特征嵌入:以糖尿病肾病患者终末期肾病风险分析为例

Kasireddy, Harishwar Reddy; Lucarelli, Nicholas; Yun, Donghwan; Moon, Kyung Chul; La Rosa, Patricio S; Tomaszewski, John E; Han, Seung Seok; Shickel, Benjamin; Naglah, Ahmed; Sarder, Pinaki

Federated Learning for Predicting Major Postoperative Complications

联邦学习在预测术后主要并发症中的应用

Ren, Yuanfang; Park, Yonggi; Shickel, Benjamin; Guan, Ziyuan; Patel, Ayush; Ma, Yingbo; Hu, Zhenhong; Balch, Jeremy A; Loftus, Tyler J; Rashidi, Parisa; Ozrazgat-Baslanti, Tezcan; Bihorac, Azra