AIMC Topic: Machine Learning

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Incremental Value of Multidomain Risk Factors for Dementia Prediction: A Machine Learning Approach.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry Aug 10, 2024
OBJECTIVE: The current evidence regarding how different predictor domains contributes to predicting incident dementia remains unclear. This study aims to assess the incremental value of five predictor domains when added to a simple dementia risk pred...
United Kingdom Female Aged, 80 and over Dementia, Vascular Risk Factors Male Aged Middle Aged Humans Machine Learning Risk Assessment Prospective Studies Dementia Alzheimer Disease
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Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese Aug 10, 2024
OBJECTIVE: This study aimed to leverage real-world electronic medical record data to develop interpretable machine learning models for diagnosis of Kawasaki disease while also exploring and prioritizing the significant risk factors.
Child ROC Curve Mucocutaneous Lymph Node Syndrome Female Risk Factors Male Infant China Child, Preschool Humans Machine Learning Electronic Health Records
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Unraveling phenotypic heterogeneity in stanford type B aortic dissection patients through machine learning clustering analysis of cardiovascular CT imaging.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese Aug 10, 2024
OBJECTIVE: Aortic dissection remains a life-threatening condition necessitating accurate diagnosis and timely intervention. This study aimed to investigate phenotypic heterogeneity in patients with Stanford type B aortic dissection (TBAD) through mac...
Humans Machine Learning Phenotype Aged Adult Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female Aortic Aneurysm, Thoracic Computed Tomography Angiography Imaging, Three-Dimensional Cluster Analysis Aortic Dissection
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Predicting Intracranial Aneurysm Rupture: A Multifactor Analysis Combining Radscore, Morphology, and PHASES Parameters.

Academic radiology Aug 10, 2024
RATIONALE AND OBJECTIVES: We aimed at developing and validating a nomogram and machine learning (ML) models based on radiomics score (Radscore), morphology, and PHASES to predict intracranial aneurysm (IA) rupture.
Aged Humans Adult Male Middle Aged Angiography, Digital Subtraction Aneurysm, Ruptured Machine Learning Nomograms Cerebral Angiography Intracranial Aneurysm Retrospective Studies Predictive Value of Tests Female
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The synchronous upregulation of a specific protein cluster in the blood predicts both colorectal cancer risk and patient immune status.

Gene Aug 10, 2024
BACKGROUND: Early detection and treatment of colorectal cancer (CRC) is crucial for improving patient survival rates. This study aims to identify signature molecules associated with CRC, which can serve as valuable indicators for clinical hematologic...
Gene Regulatory Networks Gene Expression Regulation, Neoplastic Up-Regulation Prognosis Humans Biomarkers, Tumor Middle Aged Female Male Machine Learning Gene Expression Profiling Colorectal Neoplasms
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Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online.

Journal of minimally invasive gynecology Aug 10, 2024
STUDY OBJECTIVE: Use machine learning to characterize the content of endometriosis online community posts and comments.
Humans Machine Learning Retrospective Studies Female Endometriosis Adult Physician-Patient Relations Internet
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Machine learning modeling of thermally assisted biodrying process for municipal sludge.

Waste management (New York, N.Y.) Aug 10, 2024
Preparation of activated carbons is an important way to utilize municipal sludge (MS) resources, while drying is a pretreatment method for making activated carbons from MS. In this study, machine learning techniques were used to develop moisture rati...
Temperature Models, Theoretical Bayes Theorem Sewage Composting Machine Learning
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Randomized algorithms for large-scale dictionary learning.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2024
Dictionary learning is an important sparse representation algorithm which has been widely used in machine learning and artificial intelligence. However, for massive data in the big data era, classical dictionary learning algorithms are computationall...
Artificial Intelligence Machine Learning Algorithms Humans
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Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-concept.

International journal of medical informatics Aug 10, 2024
INTRODUCTION: Delays in discharging patients from Acute Medical Units hamper patient flows throughout the hospital. The decision to discharge a patient is mainly based on the patients' physiological condition, but may vary between physicians. An obje...
Proof of Concept Study Male Middle Aged Patient Discharge Electronic Health Records Female Aged Humans Machine Learning Retrospective Studies
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Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2024
Data heterogeneity (Non-IID) on Federated Learning (FL) is currently a widely publicized problem, which leads to local model drift and performance degradation. Because of the advantage of knowledge distillation, it has been explored in some recent wo...
Algorithms Knowledge Neural Networks, Computer Machine Learning
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