Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding.

Background: The widespread adoption of telehealth services necessitates accurate online department selection based on patient medical records, a task requiring significant medical knowledge. Incorrect triage results in considerable time wastage for both patients and medical professionals. To address this, we propose an intelligent triage model based on a Bidirectional Long Short-Term Memory (Bi-LSTM) neural network with character embedding to enhance the efficiency and capacity of telehealth services.

Implementation, service effectiveness and satisfaction with teleconsultation services in China during the COVID-19 pandemic: from the Perspective of Primary Health Care Professionals.

Objective: This study aims to evaluate satisfaction and service effectiveness of primary hospital physicians participating in the National Telemedicine Center of China during the COVID-19 period, and to identify potential improvement suggestions.

Methods: An online questionnaire was developed to assess the impact and satisfaction of teleconsultation services. A teleconsultation manager from each of the 98 hospitals randomly invited the medical staff involved in teleconsultation to complete the online questionnaire.

Analysis of potential biomarkers and immune infiltration in autism based on bioinformatics analysis.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder caused by both environmental and genetic factors. However, its etiology and pathogenesis remain unclear. The purpose of this study was to establish an immune-related diagnostic model for ASD using bioinformatics methods and to identify ASD biomarkers.

Identification of Circular RNA Profiles in the Liver of Diet-Induced Obese Mice and Construction of the ceRNA Network.

Obesity is a major risk factor for cardiovascular, cerebrovascular, metabolic, and respiratory diseases, and it has become an important social health problem affecting the health of the population. Obesity is affected by both genetic and environmental factors. In this study, we constructed a diet-induced obese C57BL/6J mouse model and performed deep RNA sequencing (RNA-seq) on liner-depleted RNA extracted from the liver tissues of the mice to explore the underlying mechanisms of obesity.

Telemedicine Is Becoming an Increasingly Popular Way to Resolve the Unequal Distribution of Healthcare Resources: Evidence From China.

Background: Few studies focused on the general situation of telemedicine in China.

Objectives: The purpose of this review is to investigate telemedicine in China, from the aspects of necessity, history, scale, and operation procedure, to improve the further development and implementation of telemedicine service.

Methods: A literature search for peer-reviewed studies was conducted using the primary electronic databases.