AIMC Topic: Young Adult
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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes - A large multi-centre study in Australia and New Zealand.
Nutrition, metabolism, and cardiovascular diseases : NMCD
Jan 9, 2025
BACKGROUND AND AIMS: Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
Adult
Male
Middle Aged
Risk Assessment
Prognosis
Female
Risk Factors
Young Adult
Support Vector Machine
Australia
Predictive Value of Tests
Glycated Hemoglobin
Deep Learning
New Zealand
Adolescent
Diabetes Mellitus, Type 1
Diabetic Ketoacidosis
Humans
Machine Learning
Decision Support Techniques
Prospective Studies
Biomarkers
Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jan 9, 2025
BACKGROUND AND PURPOSE: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based rad...
Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches.
European thyroid journal
Jan 9, 2025
AIMS: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of life (QOL) in affected individuals. Graves' ophthalmopathy (GO)-QOL questionnaire effectively assesses TED's effect on patients. This study aims to inves...
Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables.
BMC medical informatics and decision making
Jan 9, 2025
BACKGROUND: Urinary tract infection (UTI) is a frequent health-threatening condition. Early reliable diagnosis of UTI helps to prevent misuse or overuse of antibiotics and hence prevent antibiotic resistance. The gold standard for UTI diagnosis is ur...
Machine-learning-based cost prediction models for inpatients with mental disorders in China.
BMC psychiatry
Jan 9, 2025
BACKGROUND: Mental disorders are increasingly prevalent, leading to increased medical expenditures. To refine the reimbursement of medical costs for inpatients with mental disorders by health insurance, an accurate prediction model is essential. Per-...
A robust multimodal brain MRI-based diagnostic model for migraine: validation across different migraine phases and longitudinal follow-up data.
The journal of headache and pain
Jan 9, 2025
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance...
Widespread use of ChatGPT and other Artificial Intelligence tools among medical students in Uganda: A cross-sectional study.
PloS one
Jan 9, 2025
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, i...
Prediction of health anxiety using resting-state functional near-infrared spectroscopy and machine learning.
Journal of affective disorders
Jan 8, 2025
BACKGROUND: The role of cortical networks in health anxiety remain poorly understood. This study aimed to develop a predictive model for health anxiety, using a machine-learning approach based on resting-state functional connectivity (rsFC) with func...
Utilizing natural language processing to identify pediatric patients experiencing status epilepticus.
Seizure
Jan 8, 2025
PURPOSE: Compare the identification of patients with established status epilepticus (ESE) and refractory status epilepticus (RSE) in electronic health records (EHR) using human review versus natural language processing (NLP) assisted review.
Feasibility of occlusal plane in predicting the changes in anteroposterior mandibular position: a comprehensive analysis using deep learning-based three-dimensional models.
BMC oral health
Jan 8, 2025
BACKGROUND: A comprehensive analysis of the occlusal plane (OP) inclination in predicting anteroposterior mandibular position (APMP) changes is still lacking. This study aimed to analyse the relationships between inclinations of different OPs and APM...
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