From Chaos to Care: Personalized AI for Early Cardiac Arrhythmia Warning [0.03%]
从混沌到关爱：个性化AI在早期心律失常预警中的应用
Suvankar Halder,Christopher M Kim,Vipul Periwal
Suvankar Halder
Cardiac arrhythmias are abnormal heart rhythms arising from disordered electrical dynamics that contribute significantly to global morbidity and mortality. Early prediction from physiological time series remains challenging due to nonlinear...
Simulation and empirical evaluation of biologically-informed neural network performance [0.03%]
生物信息素神经网络性能的模拟与实证评估
Gwen A Miller,Ahmed Roman,Marc Glettig et al.
Gwen A Miller et al.
Biologically-informed neural networks (BiNNs) offer interpretable deep learning models for biological data, but the dataset characteristics required for strong performance remain poorly understood. For instance, prior work introduced P-NET,...
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...