Evaluation and management of orthostatic headache in hypermobility disorders
Frontiers in Neurology, 2023 Headache is a frequent symptom among patients with hypermobility spectrum disorders. This mini review focuses specifically on a challenging aspect of headache evaluation in all patients, but especially those with hypermobility – the orthostatic headache.
Olga P. Fermo
doaj +1 more source
Persistent instability in a nonhomogeneous delay differential equation system of the Valsalva maneuver [PDF]
, 2019 Delay differential equations (DDEs) are widely used in mathematical modeling to describe physical and biological systems. Delays can impact model dynamics, resulting in oscillatory behavior. In physiological systems, this instability may signify (i) an attempt to return to homeostasis or (ii) system dysfunction.
arxiv +1 more source
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data [PDF]
arXiv, 2022 A treatment regime is a rule that assigns a treatment to patients based on their covariate information. Recently, estimation of the optimal treatment regime that yields the greatest overall expected clinical outcome of interest has attracted a lot of attention. In this work, we consider estimation of the optimal treatment regime with electronic medical
arxiv
Orthostatic Cerebral Hypoperfusion Syndrome (OCHOS)
Frontiers in Aging Neuroscience, 2016 Objective: Orthostatic dizziness without orthostatic hypotension is common but underlying pathophysiology is poorly understood. This study describes orthostatic cerebral hypoperfusion syndrome (OCHOS). OCHOS is defined by: 1) Abnormal orthostatic drop of
Peter eNovak
doaj +1 more source
Orthostatic Hypotension and its Relationship with HbA1c Levels in Patients with Diabetes Mellitus
National Journal of Medical Research, 2022 Introduction: For the diagnosis of diabetes mellitus, various tests are available such as FBS (Fasting blood sugar), PPBS ( Post Prandial Blood Sugar), Oral Glucose Tolerance Test, Random Plasma Glucose Test, HBA1c, etc, of which HBA1c is considered to ...
Deep Bavaria +3 more
doaj +1 more source
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
Nondipping in Parkinson's Disease
Parkinson's Disease, 2011 Objective. The aim of this study was to identify patients with Parkinson's disease who showed loss or decrease of nocturnal blood pressure fall (nondipper patients) as a marker of autonomic dysfunction.
Sita Sommer +2 more
doaj +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
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
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models [PDF]
arXiv, 2023 This paper presents a novel approach to simulating electronic health records (EHRs) using diffusion probabilistic models (DPMs). Specifically, we demonstrate the effectiveness of DPMs in synthesising longitudinal EHRs that capture mixed-type variables, including numeric, binary, and categorical variables. To our knowledge, this represents the first use
arxiv