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Digital Health Innovations to Catalyze the Transition to Value-Based Health Care
Digital Health Innovations to Catalyze the Transition to Value-Based Health Care
The healthcare industry is currently going through a transformation, due to the integration of technologies and the shift ...
Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study
Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study
Background: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and familie...
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health...
The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study
The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study
Background: Aging in older adults results in a decline in physical function and quality of daily life. Due to the COVID-19...
Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction
Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction
medRxiv - The Preprint Server for Health Sciences
Health Management Information System Data Quality and its associated factors in Addis Ababa Public Hospitals, Ethiopia, 2022.A cross-sectional study
Health Management Information System Data Quality and its associated factors in Addis Ababa Public Hospitals, Ethiopia, 2022.A cross-sectional study
medRxiv - The Preprint Server for Health Sciences
Diagnostic Accuracy of a Smartphone-Enabled Urinary Albumin-to-Creatinine Ratio Test for Detecting Chronic Kidney Disease Among At-Risk Populations
Diagnostic Accuracy of a Smartphone-Enabled Urinary Albumin-to-Creatinine Ratio Test for Detecting Chronic Kidney Disease Among At-Risk Populations
medRxiv - The Preprint Server for Health Sciences
Digital solutions supporting the quality-of-life of European cancer patients and their caregivers: a systematic literature review
Digital solutions supporting the quality-of-life of European cancer patients and their caregivers: a systematic literature review
we investigate (a) the diffusion of digital solutions supporting the quality-of-life in cancer patients and their caregive...
Validation of a framework for assessing healthcare facilities in low-resource settings: a field study in selected facilities in Ethiopia
Validation of a framework for assessing healthcare facilities in low-resource settings: a field study in selected facilities in Ethiopia
The aim of this paper is to expand and further validate a framework to assess healthcare facilities in low-resource settin...
A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study
A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progre...
Performance of an Electronic Health Record–Based Automated Pulmonary Embolism Severity Index Score Calculator: Cohort Study in the Emergency Department
Performance of an Electronic Health Record–Based Automated Pulmonary Embolism Severity Index Score Calculator: Cohort Study in the Emergency Department
Background: Studies suggest that less than 4% of patients with pulmonary embolisms (PE) are managed in the outpatient sett...
Computable Phenotypes for Respiratory Viral Infections in the All of Us Research Program
Computable Phenotypes for Respiratory Viral Infections in the All of Us Research Program
medRxiv - The Preprint Server for Health Sciences
Prediction-powered Inference for Clinical Trials
Prediction-powered Inference for Clinical Trials
medRxiv - The Preprint Server for Health Sciences
Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction
Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction
medRxiv - The Preprint Server for Health Sciences
An improved stacking model for predicting myocardial infarction risk in imbalanced data
An improved stacking model for predicting myocardial infarction risk in imbalanced data
Early diagnosis and treatment of myocardial infarction (MI) can significantly reduce the severity of the disease. Disease ...
Bridging Needs and Expectations of Individuals With Physical Disabilities and Community Services Stakeholders for the Cocreation of an Adapted Physical Activity Platform in Virtual Reality: Qualitative Study
Bridging Needs and Expectations of Individuals With Physical Disabilities and Community Services Stakeholders for the Cocreation of an Adapted Physical Activity Platform in Virtual Reality: Qualitative Study
Background: Physical activity supports the health and well-being of individuals with physical disabilities. Despite the si...
Adaptive Transfer Learning for Time-to-Event Modeling with Applications in Disease Risk Assessment
Adaptive Transfer Learning for Time-to-Event Modeling with Applications in Disease Risk Assessment
medRxiv - The Preprint Server for Health Sciences
Understanding Data Differences across the ENACT Federated Research Network
Understanding Data Differences across the ENACT Federated Research Network
medRxiv - The Preprint Server for Health Sciences
Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study
Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study
medRxiv - The Preprint Server for Health Sciences
Assessing Supervised Natural Language Processing (NLP) Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model (LLM) Approach
Assessing Supervised Natural Language Processing (NLP) Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model (LLM) Approach
medRxiv - The Preprint Server for Health Sciences
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients
medRxiv - The Preprint Server for Health Sciences
Combining Clinical Embeddings with Multi-Omic Features for Improved Patient Classification and Interpretability in Parkinsons Disease
Combining Clinical Embeddings with Multi-Omic Features for Improved Patient Classification and Interpretability in Parkinsons Disease
medRxiv - The Preprint Server for Health Sciences
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
This paper aims to develop a three-dimensional (3D) Alzheimer’s disease (AD) prediction method, th...
Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset
Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset
Background: Advances in genetics have underscored a strong association between genetic factors and health outcomes, leadin...
Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study
Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study
Background: The two most commonly used methods to identify frailty are the frailty phenotype and the frailty index. Howeve...
Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region
Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region
Background: The gaming and gambling overlap have intensified with new evidence emerging. However, the relationship between...
Pervasive Games for Sexual Health Promotion: Scoping Literature Review
Pervasive Games for Sexual Health Promotion: Scoping Literature Review
Background: Serious games play a fundamental role in promoting safe sexual behaviors. This medium has great potential for ...
Reciprocal Relationship Between Self-Control Belief and Gaming Disorder in Children and Adolescents: Longitudinal Survey Study
Reciprocal Relationship Between Self-Control Belief and Gaming Disorder in Children and Adolescents: Longitudinal Survey Study
Background: Children and adolescents are often at the crossroads of leisure gaming and excessive gaming. It is essential t...
Gamified Web-Delivered Attentional Bias Modification Training for Adults With Chronic Pain: Randomized, Double-Blind, Placebo-Controlled Trial
Gamified Web-Delivered Attentional Bias Modification Training for Adults With Chronic Pain: Randomized, Double-Blind, Placebo-Controlled Trial
Background: Attentional bias to pain-related information has been implicated in pain chronicity. To date, research investi...
A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial
A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial
Background: Ultrasound education is transitioning from in-person training to remote methods using mixed reality (MR) and 5...
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