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Middle Aged

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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 ...
Humans Machine Learning Female Risk Factors Aged Young Adult Adult Animals Male Middle Aged Prevalence Child China Feces Surveys and Questionnaires Fishes Adolescent Clonorchiasis Clonorchis sinensis
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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 Assessment ROC Curve Humans Burns Machine Learning Delirium Retrospective Studies Risk Factors Intensive Care Units Aged Female Adult Male Middle Aged
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Use of natural language processing method to identify regional anesthesia from clinical notes.

Regional anesthesia and pain medicine Mar 5, 2025
INTRODUCTION: Accurate data capture is integral for research and quality improvement efforts. Unfortunately, limited guidance for defining and documenting regional anesthesia has resulted in wide variation in documentation practices, even within indi...
Male Middle Aged Natural Language Processing Anesthesia, Conduction California Hospitals, Veterans Humans Algorithms Electronic Health Records Female Cross-Sectional Studies
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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...
Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Fluorodeoxyglucose F18 Preoperative Period Machine Learning Male Prognosis Humans Middle Aged Retrospective Studies ROC Curve Female Lung Neoplasms Aged
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Developing an interpretable machine learning model for screening depression in older adults with functional disability.

Journal of affective disorders Mar 4, 2025
This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabili...
Persons with Disabilities Humans Aged, 80 and over Logistic Models Machine Learning Mass Screening Male Female Longitudinal Studies Middle Aged Aged China Depression
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Visceral Fat Quantified by a Fully Automated Deep-Learning Algorithm and Risk of Incident and Recurrent Diverticulitis.

Diseases of the colon and rectum Mar 4, 2025
BACKGROUND: Obesity is a risk factor for diverticulitis. However, it remains unclear whether visceral fat area, a more precise measurement of abdominal fat, is associated with the risk of diverticulitis.
Adult Male Middle Aged Risk Assessment Deep Learning Tomography, X-Ray Computed Female Risk Factors Aged Incidence Body Composition Intra-Abdominal Fat Recurrence Diverticulitis Humans Algorithms Retrospective Studies
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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...
Humans Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Predictive Value of Tests Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy Middle Aged Female Risk Factors Aged Male Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome
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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...
Laparoscopy Hepatectomy Reoperation Conversion to Open Surgery Humans Male Machine Learning Middle Aged Retrospective Studies Risk Assessment Female Liver Neoplasms Risk Factors Aged
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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.
Humans Middle Aged Exercise Pain Measurement Knee Joint Arthralgia Machine Learning Female Aged Adult Male
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Biomarkers, Tumor Male Immunotherapy Middle Aged Lung Neoplasms Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Mutation Paclitaxel Liquid Biopsy Clinical Trials, Phase III as Topic Bevacizumab Humans Machine Learning Retrospective Studies Female Aged
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