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Utilizing machine learning for predicting mortality in patients with heat-related illness who visited the emergency department.
International journal of medical informatics
Apr 26, 2025
BACKGROUND: In the context of climate change and global warming, heat-related illness (HRI) is anticipated to escalate and become a major concern. Patients with severe HRI primarily present to the emergency department (ED), but there are no predictio...
Artificial intelligence in asthma health literacy: a comparative analysis of ChatGPT versus Gemini.
The Journal of asthma : official journal of the Association for the Care of Asthma
Apr 26, 2025
BACKGROUND: Asthma is a complex and heterogeneous chronic disease affecting over 300 million individuals worldwide. Despite advances in pharmacotherapy, poor disease control remains a major challenge, necessitating innovative approaches to patient ed...
Hybrid Neural network and machine learning models with improved optimization method for gut microbiome effects on the sleep quality in patients with endometriosis.
Computer methods and programs in biomedicine
Apr 26, 2025
BACKGROUND AND OBJECTIVE: Endometriosis is a chronic gynecological condition known to affect the quality of life of millions of women globally, often manifesting with symptoms that impact sleep quality. Emerging evidence suggests a crucial role of th...
Altered static and dynamic functional network connectivity and combined Machine learning in asthma.
Neuroscience
Apr 26, 2025
Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. Previous neuroimaging studies have shown structural and functional abnormalities in the brains of individuals with asthma. However, earlier research h...
Marker based and markerless motion capture for equestrian rider kinematic analysis: A comparative study.
Journal of biomechanics
Apr 26, 2025
The study hypothesised that a markerless motion capture system can provide kinematic data comparable to a traditional marker-based system for riders mounted on a horse. The objective was to assess the markerless system's accuracy by directly comparin...
Detection of β-Thalassemia trait from a heterogeneous population with red cell indices and parameters.
Computers in biology and medicine
Apr 26, 2025
BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating screening of βTT to stop spread of the disease. Over the years, researchers developed discrimination formulae based on red blood cell (RBC) parameters t...
Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures.
Journal of orthopaedic surgery and research
Apr 26, 2025
BACKGROUND: Treatments for distal radius fractures (DRFs) are determined by various factors. Therefore, quantitative or qualitative tools have been introduced to assist in deciding the treatment approach. This study aimed to develop a machine learnin...
A deep learning-based multimodal medical imaging model for breast cancer screening.
Scientific reports
Apr 26, 2025
In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast cancer prediction models based on multimodal medic...
Interpretable Machine Learning for Predicting Anterior Uveitis in Axial Spondyloarthritis.
Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases
Apr 25, 2025
BACKGROUND: Axial spondyloarthritis (axSpA) is a chronic inflammatory disease primarily affecting the spine and sacroiliac joints, with anterior uveitis (AU) as a common extra-articular manifestation. Predicting AU onset in axSpA patients is challeng...
A Novel Natural Language Processing Model for Triaging Head and Neck Patient Appointments.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Apr 25, 2025
OBJECTIVE: Inaccurate patient triage contributes to suboptimal clinical capacity management and delays in patient care, which in cancer patients may significantly increase morbidity and mortality. We developed a natural language processing (NLP) mode...
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