Results 71 to 80 of about 308,666 (390)
Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning [PDF]
arXiv, 2020 Hypotension in critical care settings is a life-threatening emergency that must be recognized and treated early. While fluid bolus therapy and vasopressors are common treatments, it is often unclear which interventions to give, in what amounts, and for how long.
arxiv
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms [PDF]
arXiv, 2022 In recent years, the machine learning research community has benefited tremendously from the availability of openly accessible benchmark datasets. Clinical data are usually not openly available due to their highly confidential nature. This has hampered the development of reproducible and generalisable machine learning applications in health care.
arxiv
Anesthesiology, 2013 Background:Intraoperative hypotension may contribute to postoperative acute kidney injury (AKI) and myocardial injury, but what blood pressures are unsafe is unclear. The authors evaluated the association between the intraoperative mean arterial pressure
M. Walsh +8 more
semanticscholar +1 more source
CSF Tau Is a Biomarker of Hippocampal Injury in Cryptogenic New‐Onset Refractory Status Epilepticus
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cryptogenic new‐onset refractory status epilepticus (cNORSE) is a devastating condition characterized by the de novo onset of status epilepticus with unclear etiology. The identification of relevant early biomarkers in cNORSE is important to elucidate pathophysiology, aid clinical decision‐making, and prognosticate outcomes in cNORSE.
Yihui Goh +8 more
wiley +1 more source
BioPsychoSocial MedicineBackground Postural tachycardia syndrome (POTS), a subset of orthostatic dysregulation, has been reported to be associated with anxiety. POTS can be classified into two forms based on the degree of tachycardia during orthostasis.
Midori Mizutani +7 more
doaj +1 more source
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data [PDF]
arXiv, 2022 Several approaches have been developed to mitigate algorithmic bias stemming from health data poverty, where minority groups are underrepresented in training datasets. Augmenting the minority class using resampling (such as SMOTE) is a widely used approach due to the simplicity of the algorithms.
arxiv
Journal of clinical monitoring and computing, 2020 An algorithm derived from machine learning uses the arterial waveform to predict intraoperative hypotension some minutes before episodes, possibly giving clinician’s time to intervene and prevent hypotension.
K. Maheshwari +7 more
semanticscholar +1 more source
Advanced Healthcare Materials, EarlyView.Deinococcus radiodurans‐derived extracellular vesicles (R1‐EVs) provide radioprotection against total‐body irradiation‐induced acute radiation syndrome in mice. R1‐EVs mitigate oxidative damage by scavenging free radicals, promoting intestinal repair, enhancing hematopoietic function, and modulating immune responses. This study highlights the potential
Jeong Moo Han +7 more
wiley +1 more source
Attention mechanisms for physiological signal deep learning: which attention should we take? [PDF]
arXiv, 2022 Attention mechanisms are widely used to dramatically improve deep learning model performance in various fields. However, their general ability to improve the performance of physiological signal deep learning model is immature. In this study, we experimentally analyze four attention mechanisms (e.g., squeeze-and-excitation, non-local, convolutional ...
arxiv
Anaesthesia, 2019 Spinal anaesthesia for caesarean section commonly causes maternal hypotension. This systematic review and network meta‐analysis compared methods to prevent hypotension in women receiving spinal anaesthesia for caesarean section.
J. P. Fitzgerald +4 more
semanticscholar +1 more source