Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study [0.03%]
正则化回归在健康与退休研究中预测认知功能方面的表现优于树模型
Kyle Masato Ishikawa,Deborah Taira,Joseph Keaweʻaimoku Kaholokula et al.
Kyle Masato Ishikawa et al.
Background: Generalized linear models have been favored in healthcare research due to their interpretability. In contrast, tree-based models, such as random forest or boosted trees, are often preferred in machine learning...
Benchmarking Transformer Embedding Models for Biomedical Terminology Standardization [0.03%]
生物医学术语标准化的Transformer嵌入模型基准测试
Aditya Lahiri,Sangeeta Shukla,Ben Stear et al.
Aditya Lahiri et al.
Biomedical text in public databases often exhibits unstandardized terminology and inconsistencies that impede machine learning applications and hinder data integration across biomedical databases. Leveraging generalized and specialized tran...
Case-Base Neural Network: Survival analysis with time-varying, higher-order interactions [0.03%]
基于案例的神经网络：具有时变、高阶交互作用的生存分析
Jesse Islam,Maxime Turgeon,Robert Sladek et al.
Jesse Islam et al.
In the context of survival analysis, data-driven neural network-based methods have been developed to model complex covariate effects. While these methods may provide better predictive performance than regression-based approaches, not all ca...
INSTRAS: INfrared Spectroscopic imaging-based TRAnsformers for medical image Segmentation [0.03%]
基于红外光谱成像的医学图像分割Transformer网络（INSTRAS）
Hangzheng Lin,Kianoush Falahkheirkhah,Volodymyr Kindratenko et al.
Hangzheng Lin et al.
Infrared (IR) spectroscopic imaging is of potentially wide use in medical imaging applications due to its ability to capture both chemical and spatial information. This complexity of the data both necessitates using machine intelligence as ...
Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors [0.03%]
基于深度神经网络的聚合材料声学应答器/传感器压力推断方法研究
Seyedhamidreza Alaie,Subhi J Al&#x;Aref
Seyedhamidreza Alaie
Passive sensor-transponders have raised interest for the last few decades, due to their capability of low-cost remote monitoring without the need for energy storage. Their operating principle includes receiving a signal from a source and th...
An automated treatment plan alert system to safeguard cancer treatments in radiation therapy [0.03%]
用于保障放射治疗中癌症治疗的自动化治疗计划告警系统
Paul M Kump,Junyi Xia,Sridhar Yaddanapudi et al.
Paul M Kump et al.
In radiation oncology, the intricate process of delivering radiation to a patient is detailed by the patient's treatment plan, which is data describing the geometry, construction and strength of the radiation machine and the radiation beam ...
A fully automatic framework for evaluating cosmetic results of breast conserving therapy [0.03%]
保乳治疗美容效果的全自动评价体系
Chenqi Guo,Tamara L Smith,Qianli Feng et al.
Chenqi Guo et al.
The breast cosmetic outcome after breast conserving therapy is essential for evaluating breast treatment and determining patient's remedy selection. This prompts the need of objective and efficient methods for breast cosmesis evaluations. H...
Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm [0.03%]
摄影研究中自动社交距离估计：性能评估，测试基准和算法
Mert Seker,Anssi Männistö,Alexandros Iosifidis et al.
Mert Seker et al.
The social distancing regulations introduced to slow down the spread of COVID-19 virus directly affect a basic form of non-verbal communication, and there may be longer term impacts on human behavior and culture that remain to be analyzed i...
Predictors of COVID-19 vaccination rate in USA: A machine learning approach [0.03%]
美国COVID-19疫苗接种率的影响因素：一种机器学习方法
Syed Muhammad Ishraque Osman,Ahmed Sabit
Syed Muhammad Ishraque Osman
In this study, we examine state-level features and policies that are most important in achieving a threshold level vaccination rate to curve the effects of the COVID-19 pandemic. We employ CHAID, a decision tree algorithm, on three differen...
Time-to-event modeling for hospital length of stay prediction for COVID-19 patients [0.03%]
用于COVID-19患者住院时长预测的时间事件模型
Yuxin Wen,Md Fashiar Rahman,Yan Zhuang et al.
Yuxin Wen et al.
Providing timely patient care while maintaining optimal resource utilization is one of the central operational challenges hospitals have been facing throughout the pandemic. Hospital length of stay (LOS) is an important indicator of hospita...