AIMC Topic: Middle Aged

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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Female Aged Adult Male Middle Aged Severity of Illness Index ROC Curve Liver Cirrhosis Support Vector Machine Humans Retrospective Studies Biopsy Image Interpretation, Computer-Assisted Reference Standards Elasticity Imaging Techniques Magnetic Resonance Imaging Echo-Planar Imaging Liver Principal Component Analysis Area Under Curve
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Effectiveness of Machine Learning-Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use.

European addiction research Dec 20, 2024
INTRODUCTION: This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding (a) early dropout, (b) participation duration, and (c) success in reaching persona...
Alcoholism Humans Machine Learning Female Young Adult Adult Male Middle Aged Cohort Studies Telemedicine Goals
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Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective randomised controlled trial.

BMJ open Dec 20, 2024
INTRODUCTION: As surgical accessibility improves, the incidence of postoperative complications is expected to rise. The implementation of a precise and objective risk stratification tool holds the potential to mitigate these complications by early id...
Perioperative Care Male Female Middle Aged Aged Humans Decision Support Systems, Clinical Risk Assessment Aged, 80 and over Machine Learning Postoperative Complications Randomized Controlled Trials as Topic Young Adult Prospective Studies Elective Surgical Procedures Adult Intensive Care Units Singapore Hospitals, General
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Healthcare ethics and artificial intelligence: a UK doctor survey.

BMJ open Dec 20, 2024
OBJECTIVES: To survey UK doctors on their uses of artificial intelligence (AI) and of their views on the ethics and regulation of AI in healthcare.
Physicians Female Adult Cross-Sectional Studies Male Humans Artificial Intelligence Delivery of Health Care United Kingdom Middle Aged Surveys and Questionnaires Attitude of Health Personnel Ethics, Medical Confidentiality
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Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.

Sensors (Basel, Switzerland) Dec 20, 2024
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early ...
Support Vector Machine Humans Magnetic Resonance Imaging Aged Machine Learning Male Parkinson Disease Brain Middle Aged Female Logistic Models
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Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study.

BMC public health Dec 20, 2024
BACKGROUND: Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its risk factors and developing suitable risk prediction models has important implications for public health. We used machine learning (ML) approach to scree...
Middle Aged Risk Assessment Socioeconomic Factors Metabolic Syndrome Prostatic Neoplasms Sociodemographic Factors Proportional Hazards Models Humans Machine Learning Algorithms Prospective Studies Republic of Korea Risk Factors Aged Male
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Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

BMC medical research methodology Dec 20, 2024
BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs such as isoniazid, poses a significant safety concern. Electronic medical records contain comprehensive clinical information and have gained increasing ...
Male Middle Aged Case-Control Studies Logistic Models Natural Language Processing Retrospective Studies Electronic Health Records Female Adult Antitubercular Agents Drug Interactions Drug-Related Side Effects and Adverse Reactions Isoniazid Chemical and Drug Induced Liver Injury Humans Machine Learning
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Establishment and clinical application of a prognostic index for inflammatory status in triple-negative breast cancer patients undergoing neoadjuvant therapy using machine learning.

BMC cancer Dec 20, 2024
OBJECTIVE: This study aims to establish a new prognostic index using machine learning models to predict the clinical outcomes of triple-negative breast cancer (TNBC) patients receiving neoadjuvant therapy.
Humans Machine Learning Prognosis Retrospective Studies Female Disease-Free Survival Kaplan-Meier Estimate Nomograms Triple Negative Breast Neoplasms Aged Neoadjuvant Therapy Adult Neutrophils Middle Aged Lymphocytes Inflammation
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Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose.

BMC medical research methodology Dec 20, 2024
BACKGROUND: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and m...
Diabetes Mellitus, Type 2 Longitudinal Studies Linear Models Male Middle Aged Humans Fasting Neural Networks, Computer Machine Learning Blood Glucose Prospective Studies Female Aged Adult
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Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease.

JMIR formative research Dec 20, 2024
BACKGROUND: Ischemic heart disease is a leading cause of death globally with a disproportionate burden in low- and middle-income countries (LMICs). Natural language processing (NLP) allows for data enrichment in large datasets to facilitate key clini...
Humans Natural Language Processing Aged Female Myocardial Infarction Adult Male Hospitals, University Cardiovascular Diseases Pakistan Middle Aged Sex Factors
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