Abstract Blood Pressure (BP) is an important cardiovascular health indicator. BP usually monitored non-invasively with a cuff-based device, which can be bulky and inconvenient. Thus, continuous portable monitoring devices, such as those based on photoplethysmography (PPG) waveform, are desirable. In particular, Machine Learning (ML) estimation approaches have gained considerable attention they the potential to estimate intermittent or only single PPG measurement. Over last few years, many...

Background: A total of 22,367 bibliometric articles have been indexed by Web Science (WoS). The most significant contribution to the field has not yet identified through analysis. comparison individual research achievements (IRAs) and trend analysis article citations are required after extracting articles. study aimed confirm whether leading author a dominant RA which worth reading for readers using Methods: We authors with at least 100 related bibliometrics in WoS core collection. 399 were...

Studies show a strong association between dementia and lower urinary tract symptoms (LUTS). The aim of this study was to investigate whether LUTS are risk factor for cognitive impairment. We enrolled 50-year-old older subjects with (LUTS [+] ) (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>6801</mml:mn></mml:math>) controls without [−] id="M2"><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>20,403</mml:mn></mml:math>) from Taiwan’s...

Abstract Background In 2019, the Patient Autonomy Act went into effect, allowing Taiwanese citizens to establish legal advance decisions. an effort secure a more realistic and accurate perception of situations, virtual reality video was developed by palliative care team Chi-Mei hospital in southern Taiwan for use before planning. This study explores change participants’ preference certainty regarding end-of-life decisions after using this tool. Methods Participants were at least 20 years old...

Background: More than 400 articles with the title of 100 top-cited (Top100) have been published in PubMed. It is unknown whether their citations are fewer (or more) those found other bibliometric studies (Nontop100). After determining article themes using coword analysis, a temporal bubble graph (TBG) was used to verify hypothesis that Top100 had Nontop100. Methods: Using Web Science core collection, top 50 most cited were compiled by and Nontop100, respectively, based on research area...

Abstract Background: Many researchers use the National Health Insurance Research Database (HIRD) to publish medical papers and gain exceptional outputs in academics. Whether they also obtain excellent citation metrics remains unclear. Methods: We searched PubMed database (www.ncbi.nlm.nih.gov/pubmed) using terms Taiwan HIRD. then downloaded 1997 articles published from 2012 2016. An authorship-weighted scheme (AWS) was applied compute coauthor partial contributions article bylines. Both...

Bilateral theta-burst stimulation (biTBS; intermittent TBS over the left dorsolateral prefrontal cortex [DLPFC] and continuous right DLPFC) has demonstrated efficacy in improving symptoms patients with major depressive disorder (MDD). However, underlying brain mechanisms remain unknown. The authors aimed to investigate antidepressant of biTBS monotherapy its effects on responses measured by functional magnetic resonance imaging (fMRI) during emotional processing MDD.The conducted a...

There is a growing number of large scale cross-site database collection resting-state functional magnetic resonance imaging (rs-fMRI) for studying neurobehavioral diseases, such as ADHD. Although amount data benefits machine learning-based classification methods, the idiosyncratic variability each site can deteriorate generalization ability. This challenge creates bottleneck in requiring labeled samples site. Hence this research, we utilize an approach conditional adversarial domain...

The ability to accurately detect onset of dementia is important in the treatment disease. Clinically, diagnosis Alzheimer Disease (AD) and Mild Cognitive Impairment (MCI) patients are based on an integrated assessment psychological tests brain imaging such as positron emission tomography (PET) anatomical magnetic resonance (MRI). In this work using two different datasets, we propose a behavior score-embedded encoder network (BSEN) that integrates regularly adminstrated information into...

Survival modeling in healthcare relies on explainable statistical models; yet, their underlying assumptions are often simplistic and, thus, unrealistic. Machine learning models can estimate more complex relationships and lead to accurate predictions, but non-interpretable. This study shows it is possible hospitalization for congestive heart failure by a 30 seconds single-lead electrocardiogram signal. Using machine approach not only results greater predictive power also provides clinically...

We aim to train an artificial neural network predict the diffractive efficiency of 2-D metasurface. Using geometric parameters, and polarization incident light as input training dataset, efficiencies are showed by contour maps related radii pillars. The predicted results show high accuracy in both parameters that included not dataset.

Predicting lifespan much more accurately is important for the palliative care team and families they accompany. However, way physicians estimate survival time has a gap between real conditions. This first study to use senseless wearable sensor collect electrocardiograms from hospice patients explore final moments of patients’ lives by analyzing heart rate variability.

For more than two decades, a network of face-selective brain regions has been identified as the core system for face processing, including occipital area (OFA), fusiform (FFA), and posterior region superior temporal sulcus (pSTS). Moreover, recent studies have suggested that ventral route processing memory should end at anterior lobes (i.e., vATLs), which may play an important role bridging perception memory. It is not entirely clear, however, extent to neural activities in these can...

Understanding neuro-perceptual mechanism of vocal emotion perception continues to be an important research direction not only in advancing scientific knowledge but also inspiring more robust affective computing technologies. The large variabilities the manifested fMRI signals among subjects has been shown due effect individual difference, i.e., inter-subject variability. However, relatively few works have developed modeling techniques task automatic decoding handle such idiosyncrasies. In...

Abstract Background: In 2019, the Patient Autonomy Act went into effect, allowing Taiwanese citizens to establish legal advance decisions. an effort secure a more realistic and accurate perception of situations, virtual reality video was developed by palliative care team Chi-Mei hospital in southern Taiwan for use before planning. This study explores change participants’ preference certainty regarding end-of-life decisions after using this tool. Methods: Participants were at least 20 years...

Survival modeling in healthcare relies on explainable statistical models; yet, their underlying assumptions are often simplistic and, thus, unrealistic. Machine learning models can estimate more complex relationships and lead to accurate predictions, but non-interpretable. This study shows it is possible hospitalization for congestive heart failure by a 30 seconds single-lead electrocardiogram signal. Using machine approach not only results greater predictive power also provides clinically...

Electrocardiogram(ECG) is commonly used to detect cardiac irregularities such as atrial fibrillation, bradycardia, and other irregular complexes. While previous studies had great success classifying these with standard 12-lead ECGs, there existed limited evidence demonstrating the utility of reduced-lead ECGs in capturing a wide-range diagnostic information. In addition, classification model's generalizability across multiple recording sources also remained uncovered. As part...

Background: Drug utilization in elderly patients with Parkinson's disease (PD) Taiwan has rarely been studied. This study investigated the potentially questionable prescribing patterns of antiparkinsonian drugs (APDs) and concomitant medication PD Taiwan. Methods: Participants aged 60 older, diagnosed PD, prescribed dopaminergic agents 2004 were selected from Taiwan's National Health Insurance Research Database. For each patient, prescriptions containing APDs during previous one year was...

<h3>Background</h3> Patient Right to Autonomy Act was valid in 2019 Taiwan and over 40000 documents of advance directives(AD) with legal-bound were registered until 2022. However, these ADs looked similar on everyone's medical option failed demonstrate one's unique preference special value. This study aims reveal the fact public. <h3>Methods</h3> We use phenomenology proceed our study. held series activities called '□□□□□'(Good death, Peace safe) recruited people from social media. The...

BACKGROUND: In Taiwan, Hospice Palliative Care Act 2000 and Patient Self Determination 2016 have endorsed the advance directives (AD) lasting power of attorney (LPA) in health care. For elderly patients lacking mental capacity but not having AD or LPA, especially for with dementia, principles medical decision-making is deficient clinical, ethical, legal social context Taiwan. METHODS: We aim to develop a conceptual framework evaluating promoting proper decision-making. A 2-round Delphi...