AIMC Topic: Algorithms

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Machine learning for predicting medical outcomes associated with acute lithium poisoning.

Scientific reports Apr 25, 2025
The use of machine learning algorithms and artificial intelligence in medicine has attracted significant interest due to its ability to aid in predicting medical outcomes. This study aimed to evaluate the effectiveness of the random forest algorithm ...
Female Child, Preschool Middle Aged Infant, Newborn Infant Young Adult Adolescent Aged Child Adult Lithium Male Aged, 80 and over Humans Machine Learning Algorithms
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Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

Scientific reports Apr 25, 2025
The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like falls, injuries from sports, or accidents. CT scans are affordable and effective at detecting VCF types in an accurate manner. VCF type identification in...
Humans Deep Learning Image Processing, Computer-Assisted Spinal Fractures Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

JCO clinical cancer informatics Apr 25, 2025
PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell carcinoma (RCC). However, the therapeutic response varies among patients. This study aimed to predict tumor response to nivolumab anti-PD-1 antibody ...
Kidney Neoplasms Carcinoma, Renal Cell Male Middle Aged Immune Checkpoint Inhibitors Antineoplastic Agents, Immunological Nivolumab Polymorphism, Single Nucleotide Treatment Outcome Female Aged Biomarkers, Tumor Machine Learning Algorithms Prognosis Humans
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Some novel concepts of interval-valued q-rung orthopair fuzzy graphs and computational framework of fuzzy air conditioning system.

PloS one Apr 25, 2025
The interval-valued q-rung orthopair fuzzy sets being an extension of interval-valued intuitionistic and interval-valued Pythagorean fuzzy sets is more flexible model to address vague information that has only two attributes yes or no. The combinatio...
Air Conditioning Algorithms Models, Theoretical Fuzzy Logic
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A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification.

PloS one Apr 25, 2025
The accurate prediction of RNA secondary structure, and pseudoknots in particular, is of great importance in understanding the functions of RNAs since they give insights into their folding in three-dimensional space. However, existing approaches ofte...
Deep Learning Software Computational Biology Algorithms RNA, Long Noncoding RNA RNA Folding Nucleic Acid Conformation
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Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

PloS one Apr 25, 2025
Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousness. Precise control is crucial for safe and pain-free surgeries. Monitoring anesthesia depth accurately is essential to guide anesthesiologists, optim...
Brain Wakefulness Neural Networks, Computer Anesthesia Machine Learning Graph Neural Networks Humans Algorithms
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TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing complex issuess in the field of biology. In the context of scRNA-seq analysis, it is imperative to accurately determine the type of each cell. However, co...
Supervised Machine Learning Animals Lung Deep Learning Computational Biology Algorithms Sequence Analysis, RNA Single-Cell Analysis Mice
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Prescription data and demographics: An explainable machine learning exploration of colorectal cancer risk factors based on data from Danish national registries.

Computer methods and programs in biomedicine Apr 24, 2025
OBJECTIVES: Despite substantial advancements in both treatment and prevention, colorectal cancer continues to be a leading cause of global morbidity and mortality. This study investigated the potential of using demographics and prescribed drug inform...
Algorithms Female Risk Factors Aged Logistic Models Humans Denmark Machine Learning Registries Demography Colorectal Neoplasms Male Middle Aged
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Optimising coronary imaging decisions with machine learning: an external validation study.

Open heart Apr 24, 2025
BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health...
Humans Retrospective Studies Electronic Health Records Machine Learning Algorithms Coronary Artery Disease Male Netherlands Coronary Stenosis Middle Aged Sex Factors Coronary Vessels Predictive Value of Tests Female Computed Tomography Angiography Coronary Angiography Reproducibility of Results Aged
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Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Scientific reports Apr 24, 2025
Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This condition causes joint pain and dysfunction, significantly disrupting daily life. The objective of this stu...
Machine Learning Algorithms Female Risk Factors Humans Risk Assessment Nutrition Surveys Osteoarthritis Aged Male Middle Aged
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