Combining machine learning and physiological network models for sepsis prediction [0.03%]
结合机器学习和生理网络模型进行脓毒症预测
Juri Backes,Artyom Tsanda,Tobias Knopp et al.
Juri Backes et al.
As the most extreme course of an infectious disease, sepsis poses a serious health threat, with a high mortality rate and frequent long-term consequences for survivors. Despite its enormous burden on global healthcare and ongoing research e...
Recovery in gait and posture: a network-based approach to the assessment of rehabilitation effectiveness after spinal cord injury [0.03%]
基于网络的康复效果评估方法在脊髓损伤后步态和姿势恢复中的应用研究
Tatyana Ageeva,Konstantin Grigarevichius,Aleksandr Sinitca et al.
Tatyana Ageeva et al.
Spinal cord injury (SCI) disrupts locomotion by affecting multiple physiological domains, including spinal conduction, reflex excitability, gait kinematics, and behavioral performance. Because recovery may be reflected not only in individua...
Visual attention and postural stability among older adults participating in health-enhancing physical activity: a systematic review [0.03%]
老年人从事有益健康的身体活动与视觉注意力和姿势稳定性之间的关系：系统回顾
Michael Joseph Dino,Chloe Margalaux Villafuerte,Jerald Sayat et al.
Michael Joseph Dino et al.
Introduction: As the global population ages, declines in sensory, cognitive, and motor functions increase fall risk and compromise postural stability. Despite growing research, systematic reviews examining visual attentio...
Predictive modeling for cervical cancer: existing AI approaches and the emerging role of vaginal microbiome [0.03%]
宫颈癌的预测模型：现有的AI方法和阴道微生物组的作用
Michelle Gomes,Zonglun Li,Adeola Olaitan et al.
Michelle Gomes et al.
Cervical cancer remains a major global health burden, yet current screening tools lack precision in identifying which women with high-risk human papillomavirus (HPV) infection will progress to high-grade lesions or cancer. Within a network-...
Sabin Gautam,Paolo Grigolini
Sabin Gautam
The aim of this study is to discuss the adoption of the popular natural visibility graph method (NVGM) to create complex networks and explore the condition, ignored by early work on this subject, where the dynamical system under analysis is...
Geometric pacing: external reference support as a principle of physiological stabilization in aging and pre-pathological states [0.03%]
几何节奏：外部参考支持作为生理稳定化原理在衰老和预病理状态中的作用
Alejandro Carballo
Alejandro Carballo
Background: Cardiac pacemakers exemplify how minimal external reference signals can restore functional stability in dysregulated biological systems without correcting the underlying etiology. This epistemological model su...
Quantifying cognitive effort's impact on suppression of epilepsy-associated after discharges [0.03%]
量化认知努力对抑制与癫痫相关异常放电的影响
Sai Pavan Beeram,Matthew Farris,Samir Hossain et al.
Sai Pavan Beeram et al.
Epilepsy affects over 50 million people worldwide, with approximately 30% of patients experiencing seizures that are resistant to medication, significantly impacting their quality of life. In this study, we analyze a unique dataset of intra...
Kathryn E Tobert,Kathryn Higdon,Theresa A Mikhailov et al.
Kathryn E Tobert et al.
Background: In critical illness, mesenteric organs are at risk for ischemic injury. Near infrared spectroscopy (NIRS) measures an index of regional venous-weighted tissue oxyhemoglobin saturation, an approximation of regi...
Evaluating sleep quality in a non-intrusive manner using contactless ballistocardiography and audio signals through a LSTM-TCN machine learning model [0.03%]
基于LSTM-TCN机器学习模型的非侵入式睡眠质量评估方法
Dominic Jaworski,Tae-Ho Kim,Bohyung Choi et al.
Dominic Jaworski et al.
Background: Non-intrusive sleep detection devices are increasingly sought after because conventional sleep studies require multiple body-attached sensors, which are uncomfortable and impractical for routine use. Integrati...
Hitten P Zaveri,Steven M Pincus,Robert B Duckrow et al.
Hitten P Zaveri et al.
We provide an understanding of the network theory of epilepsy based on an interpretation of temporal, spatial, spectral and connectivity evaluations of background intracranial electroencephalogram (EEG) recordings. The background intracrani...