Xueping Peng
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View article: Fostering adolescent engagement in generative AI art therapy: a dual SEM-ANN analysis of emotional
Fostering adolescent engagement in generative AI art therapy: a dual SEM-ANN analysis of emotional Open
Introduction This study explores the application of generative artificial intelligence (AI) art in digital art therapy, focusing on how it influences adolescents’ interest-driven participation. With mental health concerns rising among yout…
View article: MedShort: Medicine Shortage Detection on Social Media with Privacy Preservation
MedShort: Medicine Shortage Detection on Social Media with Privacy Preservation Open
View article: Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes
Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes Open
View article: BianCang: A Traditional Chinese Medicine Large Language Model
BianCang: A Traditional Chinese Medicine Large Language Model Open
The surge of large language models (LLMs) has driven significant progress in medical applications, including traditional Chinese medicine (TCM). However, current medical LLMs struggle with TCM diagnosis and syndrome differentiation due to …
View article: Efficacy and Safety of Thermocoagulation vs. Cryotherapy for Cervical Precancerous Lesions: A Systematic Review and Meta-Analysis
Efficacy and Safety of Thermocoagulation vs. Cryotherapy for Cervical Precancerous Lesions: A Systematic Review and Meta-Analysis Open
Background: The World Health Organization (WHO) has recently endorsed thermal coagulation as an alternative to cryotherapy for cervical precancerous lesions. However, the comparative efficacy and safety of these two treatments lack robust …
View article: An empirical study of next-basket recommendations
An empirical study of next-basket recommendations Open
Next Basket Recommender Systems (NBRs) function to recommend the subsequent shopping baskets for users through the modeling of their preferences derived from purchase history, typically manifested as a sequence of historical baskets. Given…
View article: Mediating effects of depression on sleep disturbance and frailty in older adult type 2 diabetes patients in the community
Mediating effects of depression on sleep disturbance and frailty in older adult type 2 diabetes patients in the community Open
Introduction With the progressive aging of the population, frailty is now a significant challenge in geriatrics research. A growing amount of evidence suggests that sleep disturbance and depression have independent effects on frailty, alth…
View article: Mediating effect of self-concealment between non-suicidal self-injury and internet addiction in college students: a cross-sectional study
Mediating effect of self-concealment between non-suicidal self-injury and internet addiction in college students: a cross-sectional study Open
Background Internet addiction, defined as uncontrolled behaviour resulting from the use of the Internet without the influence of addictive substances, which can seriously impair academic, occupational and social functioning. Non-suicidal s…
View article: Research on the Reform of “Traditional Chinese Medicine Nursing” Teaching Based on the Concept of Outcome-Based Education
Research on the Reform of “Traditional Chinese Medicine Nursing” Teaching Based on the Concept of Outcome-Based Education Open
Continuously evolving teaching concepts and the adoption of diverse teaching methods have led to outcomeoriented education becoming a fundamental focus of teaching reform in colleges and universities. In this article, the “Traditional Chin…
View article: Medical Question Summarization with Entity-driven Contrastive Learning
Medical Question Summarization with Entity-driven Contrastive Learning Open
By summarizing longer consumer health questions into shorter and essential ones, medical question-answering systems can more accurately understand consumer intentions and retrieve suitable answers. However, medical question summarization i…
View article: COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review
COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review Open
The COVID-19 pandemic has profoundly changed the world and human society in various ways. Infection-related figures are key indicators of the direct impact of the pandemic. In addition to the virus, many vulnerable populations (e.g. patien…
View article: Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction
Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction Open
In intensive care units (ICUs), mortality prediction is performed by combining information from these two sources of ICU patients by monitoring patient health. Respectively, time series data generated from each patient admission to the ICU…
View article: Medical Question Summarization with Entity-Driven Contrastive Learning
Medical Question Summarization with Entity-Driven Contrastive Learning Open
View article: The protective effect of grit on clinical nurses’ occupational psychological distress: Mediating and suppressing effects of Hope
The protective effect of grit on clinical nurses’ occupational psychological distress: Mediating and suppressing effects of Hope Open
As at a high-risk group of psychological distress, nurses generally experience varying degrees of stress, anxiety, and depression. This paper identifies the positive factors that may negatively regulate the psychological pain of clinical n…
View article: A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy Open
Magnetoencephalography is a noninvasive neuromagnetic technology to record epileptic activities for the pre-operative localization of epileptogenic zones, which has received increasing attention in the diagnosis and surgery of epilepsy. As…
View article: A Systematical Evaluation for Next-Basket Recommendation Algorithms
A Systematical Evaluation for Next-Basket Recommendation Algorithms Open
Next basket recommender systems (NBRs) aim to recommend a user's next (shopping) basket of items via modeling the user's preferences towards items based on the user's purchase history, usually a sequence of historical baskets. Due to its w…
View article: Automatic BASED scoring on scalp EEG in children with infantile spasms using convolutional neural network
Automatic BASED scoring on scalp EEG in children with infantile spasms using convolutional neural network Open
In recent years, the Burden of Amplitudes and Epileptiform Discharges (BASED) score has been used as a reliable, accurate, and feasible electroencephalogram (EEG) grading scale for infantile spasms. However, manual EEG annotation is, in ge…
View article: Transformer-Based High-Frequency Oscillation Signal Detection on Magnetoencephalography From Epileptic Patients
Transformer-Based High-Frequency Oscillation Signal Detection on Magnetoencephalography From Epileptic Patients Open
High-frequency oscillations (HFOs), observed within 80–500 Hz of magnetoencephalography (MEG) data, are putative biomarkers to localize epileptogenic zones that are critical for the success of surgical epilepsy treatment. It is crucial to …
View article: Modeling Complex Dependencies for Session-based Recommendations via Graph Neural Networks
Modeling Complex Dependencies for Session-based Recommendations via Graph Neural Networks Open
Session-based recommendations (SBRs) capture items' dependencies from the sessions to recommend the next item. In recent years, Graph neural networks (GNN) based SBRs have become the mainstream of SBRs benefited from the superiority of GNN…
View article: Aspect-driven User Preference and News Representation Learning for News Recommendation
Aspect-driven User Preference and News Representation Learning for News Recommendation Open
News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news. Most of existing news recommender systems usually learn topic-level representations of use…
View article: Sequential Diagnosis Prediction with Transformer and Ontological Representation
Sequential Diagnosis Prediction with Transformer and Ontological Representation Open
Sequential diagnosis prediction on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in the medical domain. EHR data, sequential records of a patient's interactions with healthcare systems, has numerous in…
View article: MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. Open
Healthcare representation learning on the Electronic Health Record (EHR) is seen as crucial for predictive analytics in the medical field. Many natural language processing techniques, such as word2vec, RNN and self-attention, have been ada…
View article: MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning Open
Healthcare representation learning on the Electronic Health Records is crucial for downstream medical prediction tasks in health informatics. Many NLP techniques, such as RNN and self-attention, have been adapted to learn medical represent…
View article: Multi-Head Self-Attention Model for Classification of Temporal Lobe Epilepsy Subtypes
Multi-Head Self-Attention Model for Classification of Temporal Lobe Epilepsy Subtypes Open
As a long-standing chronic disease, Temporal Lobe Epilepsy (TLE), resulting from abnormal discharges of neurons and characterized by recurrent episodic central nervous system dysfunctions, has affected more than 70% of drug-resistant epile…
View article: BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes Open
Electronic health records (EHRs) are longitudinal records of a patient's interactions with healthcare systems. A patient's EHR data is organized as a three-level hierarchy from top to bottom: patient journey - all the experiences of diagno…
View article: Self-Attention Enhanced Patient Journey Understanding in Healthcare System
Self-Attention Enhanced Patient Journey Understanding in Healthcare System Open
Understanding patients' journeys in healthcare system is a fundamental prepositive task for a broad range of AI-based healthcare applications. This task aims to learn an informative representation that can comprehensively encode hidden dep…
View article: Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data
Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data Open
Autism spectrum disorder (ASD) is a developmental disorder that impacts more than 1.6% of children aged 8 across the United States. It is characterized by impairments in social interaction and communication, as well as by a restricted repe…
View article: ECG Classification Using Deep CNN Improved by Wavelet Transform
ECG Classification Using Deep CNN Improved by Wavelet Transform Open
© 2020 Tech Science Press. All rights reserved. Atrial fibrillation is the most common persistent form of arrhythmia. A method based on wavelet transform combined with deep convolutional neural network is applied for automatic classificati…
View article: Temporal Self-Attention Network for Medical Concept Embedding
Temporal Self-Attention Network for Medical Concept Embedding Open
In longitudinal electronic health records (EHRs), the event records of a patient are distributed over a long period of time and the temporal relations between the events reflect sufficient domain knowledge to benefit prediction tasks such …
View article: UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty
UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty Open
Information technologies such as e-commerce and e-news bring overloaded information as well as convenience to users, cooperatives and companies. Recommender system is a significant technology in solving this information overload problem. D…