To diagnose key pathologies of age-related macular degeneration (AMD) and diabetic edema (DME) quickly accurately, researchers attempted to develop effective artificial intelligence methods by using medical images.A convolutional neural network (CNN) with transfer learning capability is proposed appropriate hyperparameters are selected for classifying optical coherence tomography (OCT) images AMD DME. perform learning, a pre-trained CNN model used as the starting point new solving related...

Abstract Title. Role stress and job satisfaction for nurse specialists Aim. This paper is a report of study to illustrate the unique relationship between role provide recommendations advanced nursing practice in Taiwan. Background. International literature has shown that work role‐related experienced by staff nurses predicts strain, which turn influences intention leave job. In this study, direct was examined after controlling personality trait personal characteristics. Method. 2004...

Aim and objectives This correlation study examined the relationship among recently workplace violence, depressive tendency, social support, resilience of victimised nurses, we also tried to identify protective factors potential targets for preventive interventions these nurses. Background Workplace violence in hospitals negatively affects occupational health safety medical professionals, especially emergency department Design A cross‐sectional, research design was applied. Methods...

The association between rotating shift work and increased occupational stress in nurses: Pei‐Chen L , et al . Department of Public Health, College Health Sciences, Kaohsiung Medical University, Taiwan Purpose aim this study was to investigate whether increases nurses. Methods This measured scheduling by using the Effort‐Reward Imbalance model with self‐reported questionnaires a sample 654 female Results Overcommitment risk higher nurses who worked shifts than those day/non‐night (OR, 2.16;...

The modeling and optimization method (MAOM) proposed in this study finds the best combination of parameters for a multi-layer convolutional neural network (MCNN). This emphasizes that addition to importance MCNN structure, parameter design within layers is also very important. After determining structure MCNN, layer can improve performance MCNN. include filter size, number filters, padding, stride. Parameters max-pooling pooling size architecture designed, major challenge finding enhances...

To classify chest computed tomography (CT) images as positive or negative for coronavirus disease 2019 (COVID-19) quickly and accurately, researchers attempted to develop effective models by using medical images.A convolutional neural network (CNN) ensemble model was developed classifying CT COVID-19. acquired from COVID-19 patients, the proposed COVID19-CNN combines use of multiple trained CNN with a majority voting strategy. The were transfer learning well-known pre-trained applying their...

This study aims to assess the interactive effect of marital status and shift work on family function. A population-based sample 1,438 nurses between ages 20–45 yr was recruited from Taiwan during period July 2005 April 2006 using a mailed questionnaire. The self-administered questionnaire contained information about demographic data, status, schedule, Family APGAR (Adaptation, Partnership, Growth, Affection, Resolve) Scale, evaluate Compared day nurses, non-night rotation had 1.53- 1.38-fold...

Researchers have tried to identify and count different blood cells in microscopic smear images by using deep learning methods of artificial intelligence solve the highly time-consuming problem.The three types are platelets, red cells, white cells. This study used Resnet50 network as a backbone single shot detector (SSD) for automatically identifying counting and, meanwhile, proposed systematic method find better combination algorithm hyperparameters promoting accuracy The SSD with its...

To examine the association between violence prevention safety climate measures and self reported toward staff in state-run residential addiction treatment centers.In mid-2006, 409 from an Eastern United States state agency that oversees a system of thirteen centers (ATCs) completed self-administered survey as part comprehensive risk assessment. The was undertaken to identify measure facility-level factors for violence, including perceptions quality existing US Occupational Safety Health...

To investigate the prevalence of pain-related diagnoses in patients with dementia and evaluate association demographic characteristics subtypes.In this population-based retrospective cohort study, participants were recruited from a 2 million people randomly sampled general population National Health Insurance Research Database Taiwan 2000 to 2013. The index year was defined as period 1 date first diagnosis dementia.The study group comprised 28,450 subtypes vascular dementia, Alzheimer's...

Researchers have attempted to apply deep learning methods of artificial intelligence for rapidly and accurately detecting acute lymphoblastic leukemia (ALL) in microscopic images.A Resnet101-9 ensemble model was developed classifying ALL images. The proposed combined the use nine trained Resnet-101 models with a majority voting strategy. Each integrated well-known pre-trained its algorithm hyperparameters by using transfer method classify best combination determined Taguchi experimental...

ABSTRACT Background: Many hospitals have reformed hospital policies and changed nursing models to cope with shortages in staff control medical costs. However, the skill mix model that most successfully achieves both cost effectiveness quality care has yet be determined. Aim: The aim of this study was explore impact different nurse staffing on patient outcomes a respiratory center (RCC). Methods: Retrospective data from 2006 2008 were obtained records monitoring quality, as well personnel...

ABSTRACT Background Workplace violence (WPV) is a well-known and serious issue in most countries, WPV against healthcare providers of particular concern, especially among nurses working emergency rooms (ERs). Purpose We aimed to develop deeper understanding nurses' perceptions coping strategies related that took place over 1-year period from the perspective nursing victims still ERs southern Taiwan. Methods This qualitative study with in-depth semistructured interviews. Nineteen ER nurse...

ABSTRACT Background A key policy of the Taiwan healthcare system is promoting hiring nursing assistants (NAs) to reduce workload nurses. However, few studies in literature have compared relative effectiveness different nurse staffing policies, and no addressed impact NA (NAS) model. Purpose This study explored current status NAS model as implemented hospitals investigate methods used evaluate outcomes implementation. Methods cross-sectional online survey was performed nationwide from June 1...

ABSTRACT Objectives: The objectives of this study were to investigate the primary diagnoses and outcomes emergency department visits in older people with dementia compare these parameters those adults without dementia. Design Setting: This hospital-based retrospective retrieved patient records from a hospital research database, which included outpatient inpatient claims two hospitals. Participants: hospitals an urban setting. inclusion criteria all patients aged 65 who had attended as or...

Abstract Objective To examine the differences in levels of intention to care for gay and lesbian patients knowledge regarding homosexuality among Taiwanese nurses between 2005 2017 moderators these differences. Design Sample This two‐wave survey study was conducted on ( N = 1,176; Survey 2005) 1,519; 2017) recruited from three hospitals. Measurements An anonymous self‐report questionnaire used. Results In 2017, expressed both a higher degree than did those 2005. The experience providing or...

A multi-layer convolutional neural network (MCNN) with hyperparameter optimization (HyperMCNN) is proposed for classifying human electrocardiograms (ECGs). For performance tests of the HyperMCNN, ECG recordings patients cardiac arrhythmia (ARR), congestive heart failure (CHF), and normal sinus rhythm (NSR) were obtained from three PhysioNet databases: MIT-BIH Arrhythmia Database, BIDMC Congestive Heart Failure Normal Sinus Rhythm respectively. The MCNN hyperparameters in layers included...

Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient treatment and reduce length of hospital stay each patient. The development clinical is a lengthy process, may require collaboration among physicians, nurses other staff hospital. However, individual differences cause great variance execution pathways. This calls for more dynamic adaptive process improve performance paper proposes data mining technique discover...