IISE Transactions on Healthcare Systems Engineering
IISE Transactions on Healthcare Systems Engineering(英文缩写 IISE T HEALTHC SYST),ISSN 2472-5579,eISSN 2472-5587 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
| 年份 | 影响因子 | JCR 分区 |
|---|---|---|
| - | Q3 | |
| - | Q4 | |
| - | Q4 |
IISE Transactions on Healthcare Systems Engineering 最新收录文献
※ 中文译文由 AI 辅助生成,仅供学术参考,请以英文原文为准。
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Multi-Source Data and Knowledge Fusion via Deep Learning for Dynamical Systems: Applications to Spatiotemporal Cardiac Modeling. 通过动态系统的深度学习进行多源数据和知识融合：在时空心脏建模中的应用
Advanced sensing and imaging provide unprecedented opportunities to collect data from diverse sources for increasing information visibility in spatiotemporal dynamical systems. Furthermore, the fundam…
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Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer.
Machine learning has shown great promise for integrating multi-modality neuroimaging datasets to predict the risk of progression/conversion to Alzheimer's Disease (AD) for individuals with Mild Cognit…
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Radiotherapy toxicity prediction using knowledge-constrained generalized linear model.
Radiation therapy (RT) is a frontline approach to treating cancer. While the target of radiation dose delivery is the tumor, there is an inevitable spill of dose to nearby normal organs causing compli…
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Mapping the process of ICU care delivery to improve treatment decisions in acute respiratory failure.
Evidence suggests system-level norms and care processes influence individual patients' medical decisions, including end-of-life decisions for patients with critical illnesses like acute respiratory fa…
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A Novel Sparse Linear Mixed Model for Multi-Source Mixed-Frequency Data Fusion in Telemedicine.
Digital health and telemonitoring have resulted in a wealth of information to be collected to monitor, manage, and improve human health. The multi-source mixed-frequency health data overwhelm the mode…
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Predicting Colorectal Surgery Readmission Risk: a Surgery-Specific Predictive Model.
Most current predictive models for risk of readmission were primarily designed from non-surgical patients and often utilize administrative data alone. Models built upon comprehensive data sources spec…
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Gradient Boosted Trees for Spatial Data and Its Application to Medical Imaging Data.
Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees ("weak learners"). This paper proposes a gradient…
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Minimally Trained Analysts Can Perform Fast, Objective Assessment of Orthopedic Technical Skill from Fluoroscopic Images.
Skill assessment in orthopedics has traditionally relied on subjective impressions from a supervising surgeon. The feedback derived from these tools may be limited by bias and other practical issues. …
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Health Care 4.0: A Vision for Smart and Connected Health Care.
Industry 4.0 has transformed manufacturing industry into a new paradigm. In a manner similar to manufacturing, health care delivery is at the dawn of a foundational change into the new era of smart an…
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Detecting spatial susceptibility to cardiac toxicity of radiation therapy for lung cancer.
Radiation therapy (RT) is a commonly used approach for treating lung cancer. Because the lungs are close to the heart, radiation dose may inevitably spill to the heart, causing heart damage and dimini…