644 results match your criteria: "Institute of Medical Information[Affiliation]"

Background: Identifying high risk factors and predicting lung cancer incidence risk are essential to prevention and intervention of lung cancer for the elderly. We aim to develop lung cancer incidence risk prediction model in the elderly to facilitate early intervention and prevention of lung cancer.

Methods: We stratified the population into six subgroups according to age and gender.

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mRNA vaccines offer groundbreaking technological advantages and broad application potential. Their rapid advancement, particularly during the COVID-19 pandemic, is the result of decades of research and numerous technological breakthroughs. These discoveries build upon each other, forming dense, interconnected networks of progress.

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Preferences of Integrated Care and the Influencing Factors Among Chinese Community-Dwelling Older Adults.

Patient Prefer Adherence

January 2025

School of Health Policy and Management, Peking Union Medical College, Beijing, People's Republic of China.

Objective: Population aging and epidemiological transition have prompted requests for integrating health and social care. The goal of meeting complex care needs necessitates the understanding of preferred patterns among older adults. The study aimed to elicit the preferred care patterns and the influencing factors of integrated health and social care among community-dwelling older adults in multiple regions of China.

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In recent years, with the policy reform of new drug review and approval, China has ushered in a surge of innovative drug development. Based on the Pharnexcloud database and the Pharmcube database, we analyzed the innovative drugs approved for marketing and entered clinical trials in China, sorted out the major research and development (R&D) institutions and enterprises, the distribution of innovative drug target types, and the primary therapeutic areas of the approved innovative drugs, and compared with the global innovative drug R&D landscape. Since 2020, China's innovative drug development has shown a rapid growth trend, with intense competition among biopharmaceutical companies, and the emergence of a number of leading biopharmaceutical enterprises.

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The equivalent value (EV)-based workload assessment of primary healthcare workers in Beijing, China.

Hum Resour Health

January 2025

Health Development Research Department, Capital Institute of Pediatrics, Beijing, 100020, People's Republic of China.

Background: Quantitative methods for estimating the workload of primary healthcare (PHC) workers are essential for improving the performance of PHC institutions. However, measuring the workload of PHC workers is challenging due to the diverse and complex range of services covered by PHC. This study aims to use an equivalent value (EV)-based approach to assess the workload of PHC workers and inform policymakers about the current workload burden in Beijing, China.

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Mapping the knowledge landscape of the PET/MR domain: a multidimensional bibliometric analysis.

Eur J Nucl Med Mol Imaging

January 2025

Huashan Hospital and Human Phenome Institute, Fudan University, 220 Handan Road, Shanghai, 200433, China.

Objective: This study aims to conduct a bibliometric analysis to explore research trends, collaboration patterns, and emerging themes in the PET/MR field based on published literature from 2010 to 2024.

Methods: A detailed literature search was performed using the Web of Science Core Collection (WoSCC) database with keywords related to PET/MR. A total of 4,349 publications were retrieved and analyzed using various bibliometric tools, including VOSviewer and CiteSpace.

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Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.

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Background: The Chinese government has introduced a series of hierarchical medical policies to ensure continuity of care, but referrals remain difficult to implement effectively. This study aimed to evaluate the chronic disease referral network and explore the problems associated with the specific implementation of referrals.

Methods: This study was a repeated cross-sectional study of monthly data collected between August 2017 and December 2023 in Luohu district, Shenzhen, China.

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Background: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality. They are usually defined as adverse event rates, which may not fully capture guideline adherence over time.

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Long non-coding RNA CASC15 enhances learning and memory in mice by promoting synaptic plasticity in hippocampal neurons.

Exploration (Beijing)

December 2024

Department of Occupational and Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health Fourth Military Medical University Xi'an China.

Alzheimer's disease (AD) is a debilitating systemic disorder that has a detrimental impact on the overall well-being of individuals. Emerging research suggests that long non-coding RNAs play a role in neural development and function. Nevertheless, the precise relationship between lncRNAs and Alzheimer's disease remains uncertain.

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Background: Anxiety disorders are among the most prevalent mental health conditions globally, particularly affecting adolescents and young adults (10-24 years), and causing substantial psychological and social impairments. This study analyzed changes in the incidence, prevalence, and disability-adjusted life years (DALYs) of anxiety disorders in this age group from 1990 to 2021, emphasizing the impact of socioeconomic disparities and the COVID-19 pandemic, particularly post-2019.

Methods: Utilizing the Global Burden of Disease(GBD) 2021 data from 204 countries, this study evaluated global trends in anxiety disorders among adolescents and young adults.

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Atherosclerotic cerebrovascular disease could result in a great number of deaths and disabilities. However, it did not acquire enough attention. Less information, statistics, or data on the disease has been revealed.

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Double-target self-supervised clustering with multi-feature fusion for medical question texts.

PeerJ Comput Sci

June 2024

Institute of Medical Information, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Background: To make the question text represent more information and construct an end-to-end text clustering model, we propose a double-target self-supervised clustering with multi-feature fusion (MF-DSC) for texts which describe questions related to the medical field. Since medical question-and-answer data are unstructured texts and characterized by short characters and irregular language use, the features extracted by a single model cannot fully characterize the text content.

Methods: Firstly, word weights were obtained based on term frequency, and word vectors were generated according to lexical semantic information.

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With the increasing availability of diverse healthcare data sources, such as medical images and electronic health records, there is a growing need to effectively integrate and fuse this multimodal data for comprehensive analysis and decision-making. However, despite its potential, multimodal data fusion in healthcare remains limited. This review paper provides an overview of existing literature on multimodal data fusion in healthcare, covering 69 relevant works published between 2018 and 2024.

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Using machine learning to identify risk factors for pancreatic cancer: a retrospective cohort study of real-world data.

Front Pharmacol

November 2024

Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Objectives: This study aimed to identify the risk factors for pancreatic cancer through machine learning.

Methods: We investigated the relationships between different risk factors and pancreatic cancer using a real-world retrospective cohort study conducted at West China Hospital of Sichuan University. Multivariable logistic regression, with pancreatic cancer as the outcome, was used to identify covariates associated with pancreatic cancer.

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Background: In response to climate change-induced increases in heat periods, the WHO recommends the implementation of heat health action plans (HHAPs). In Germany, HHAPs are implemented neither comprehensively nor nationwide. Several recommendations have identified the public health service (PHS) at municipal and federal state levels as a key actor regarding to heat and health.

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Article Synopsis
  • Stroke is a major health concern in China, primarily linked to carotid artery stenosis and plaque, but little data on their prevalence exists for the population.
  • A study of nearly 195,000 adults over 40 revealed a 0.40% prevalence of carotid artery stenosis and 36.27% for plaque, with the highest stenosis rates found in northern and southern China and plaque in the southwest.
  • Key risk factors identified include older age, male gender, hypertension, diabetes, smoking, and atrial fibrillation, highlighting the need for targeted health interventions and policy changes to combat this issue effectively.
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Association of Postpartum Temperature Exposure with Postpartum Depression: A Retrospective Cohort Study in Southern California.

Environ Health Perspect

November 2024

Department of Environmental and Occupational Health, Joe C. Wen School of Population & Public Health, University of California, Irvine, California, USA.

Background: Postpartum depression (PPD) has been associated with biological, emotional, social, and environmental factors. However, evidence regarding the effect of temperature on PPD is extremely limited.

Objectives: We aimed to examine the associations between postpartum temperature exposure and PPD.

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Gastric cancer (GC) remains a significant global health challenge, with high mortality rates, particularly in low- and middle-income countries, like China. Early detection through screening is crucial for improving prognosis and reducing mortality. However, uptake of GC screening remains suboptimal, highlighting the need for effective interventions to promote screening participation.

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Article Synopsis
  • Drug repositioning aims to speed up drug discovery by exploring existing drugs for new disease applications through drug-disease associations (DDAs).
  • Traditional prediction methods struggle with developing end-to-end frameworks for learning detailed representations of these associations and often miss out on useful data from paths in heterogeneous networks.
  • The proposed method, MilGNet, utilizes a novel deep learning approach that employs a heterogeneous graph neural network to enhance prediction accuracy and interpretability, showing superior performance in experiments and case studies on specific drugs and diseases.
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Artificial Intelligence and Radiologist Burnout.

JAMA Netw Open

November 2024

Radiology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.

Importance: Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI.

Objective: To estimate the association between AI use in radiology and radiologist burnout.

Design, Setting, And Participants: This cross-sectional study conducted a questionnaire survey between May and October 2023, using the national quality control system of radiology in China.

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Aim: The interaction between inflammatory biomarkers (high-sensitivity C-reactive protein, hsCRP) and antioxidants (uric acid, UA) regarding prognosis after ischemic stroke or transient ischemic attack (TIA) remains inadequately explored. This study aimed to assess (1) the individual and joint effects of hsCRP and UA, and (2) the neuroprotective role of UA in patients with elevated hsCRP levels concerning poor functional outcomes at 90 days.

Methods: A prospective cohort study was conducted involving 2140 consecutive ischemic stroke or TIA patients with hsCRP and UA levels.

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Background: Nutrient needs vary over the lifespan. Improving knowledge of both population groups and care providers can help with healthier food choices, thereby promoting population health and preventing diseases. Providing evidence-based food knowledge online is credible, low cost, and easily accessible.

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Symbiotic microbiota strongly impact host physiology. Amphibians and reptiles occupy a pivotal role in the evolutionary history of Animalia, and they are of significant ecological, economic, and scientific value. Many prior studies have found that symbiotic microbiota in herpetofaunal species are closely associated with host phylogeny, physiological traits, and environmental factors; however, insufficient integrated databases hinder researchers from querying, accessing, and reanalyzing these resources.

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Investigating the service utilization and pathways of patients with alcohol use disorders.

Alcohol Alcohol

September 2024

Centre for Digital Transformation, School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Northfields Ave Wollongong, New South Wales 2522, Australia.

Background: Process mining was widely used in healthcare settings to analyse patient pathways, providing insights about patient care and resource allocation. This study aimed to apply process mining to explore service utilization and pathways of patients with alcohol use disorders in receiving the community-based Drug and Alcohol Service to establish a baseline for evaluating improvement initiatives.

Methods: Patients' encounters with the Drug and Alcohol Service and their direct care activities (i.

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