AIMC Topic: Aged

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Item Response Modeling and Artificial Neural Network for Differentiation of Parkinson's Patients and Subjects Without Evidence of Dopaminergic Deficit.

CPT: pharmacometrics & systems pharmacology Mar 5, 2025
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active transporter (DaT) scans without evidence of dopaminergic deficits (SWEDD), most of which will never develop PD. Leveraging Movement Disorders Society U...
Male Middle Aged Parkinson Disease Dopamine Dopamine Plasma Membrane Transport Proteins Humans Neural Networks, Computer Female Aged
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Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study.

JMIR medical informatics Mar 5, 2025
BACKGROUND: Unplanned readmissions increase unnecessary health care costs and reduce the quality of care. It is essential to plan the discharge care from the beginning of hospitalization to reduce the risk of readmission. Machine learning-based readm...
Middle Aged Humans Female Risk Assessment Aged Machine Learning Patient Discharge Adult Retrospective Studies Male Patient Readmission Electronic Health Records
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Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study.

Scientific reports Mar 5, 2025
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) is a major contributor to mortality. We developed a recurrence prediction system for HCC patients before and after LT. Data from patients with HCC who underwent LT were retros...
China Female Humans Risk Factors Liver Neoplasms Retrospective Studies Liver Transplantation Adult Carcinoma, Hepatocellular Aged Neoplasm Recurrence, Local Male Middle Aged Deep Learning
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Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians.

Journal of neurology Mar 5, 2025
BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuous viral illness, or posterior circulation stroke (PCS), a potentially life-threatening event. The video head impulse test (VHIT) is a quantitative me...
Machine Learning Female Aged Adult Diagnosis, Differential Stroke Video Recording Male Middle Aged Humans Vestibular Neuronitis Head Impulse Test
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Epidemiology and risk factors of Clonorchis sinensis infection in the mountainous areas of Longsheng County, Guangxi: insights from automated machine learning.

Parasitology research Mar 5, 2025
Clonorchis sinensis (C. sinensis) is mainly prevalent in Northeast and South China, with Guangxi being the most severely affected region. This study aimed to evaluate the prevalence and identify the risk factors of C. sinensis infection in Longsheng ...
Fishes Clonorchiasis Clonorchis sinensis Animals Male Female Adolescent Middle Aged Risk Factors Child Prevalence Aged Feces Young Adult China Humans Adult Surveys and Questionnaires Machine Learning
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Machine Learning-Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study.

JMIR formative research Mar 5, 2025
BACKGROUND: The incidence of delirium in patients with burns receiving treatment in the intensive care unit (ICU) is high, reaching up to 77%, and has been associated with increased mortality rates. Therefore, early identification of patients at high...
Risk Factors Aged Adult Male ROC Curve Burns Delirium Middle Aged Risk Assessment Machine Learning Retrospective Studies Intensive Care Units Female Humans
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Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non-Small Cell Lung Cancer.

JCO clinical cancer informatics Mar 5, 2025
PURPOSE: To comprehensively analyze the association between preoperative maximum standardized uptake value (SUV) on 18F-fluorodeoxyglucose positron emission tomography-computed tomography and postoperative recurrence in resected non-small cell lung c...
Retrospective Studies Female Aged Male Middle Aged Humans Machine Learning Prognosis Neoplasm Recurrence, Local ROC Curve Fluorodeoxyglucose F18 Lung Neoplasms Preoperative Period Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Retrospective Studies Female Risk Factors Aged Humans Machine Learning Decision Support Techniques Databases, Factual Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Minimally Invasive Surgical Procedures Tumor Burden Male Middle Aged Risk Assessment Liver Neoplasms Hepatectomy
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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Middle Aged Conversion to Open Surgery Female Humans Risk Assessment Hepatectomy Risk Factors Machine Learning Liver Neoplasms Reoperation Aged Retrospective Studies Laparoscopy Male
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Comparison of predictive models for knee pain and analysis of individual and physical activity variables using interpretable machine learning.

The Knee Mar 4, 2025
BACKGROUND: Knee pain is associated with not only individual factors such as age and obesity but also physical activity factors such as occupational activities and exercise, which has a significant impact on the lives of adults and the elderly.
Middle Aged Exercise Pain Measurement Knee Joint Arthralgia Female Aged Adult Male Humans Machine Learning
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