AIMC Topic: Algorithms

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Effect of visceral fat on onset of metabolic syndrome.

Scientific reports May 30, 2025
This study analysed the effects of visceral fat on metabolic syndrome (MetS) and developed an algorithm to predict its onset using health examination data from the Iwaki Health Promotion Project in Japan. The dataset included 213 cases of MetS onset ...
Machine Learning Algorithms Female Aged Adult Male Humans Intra-Abdominal Fat Middle Aged Metabolic Syndrome Japan
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Upper limb human-exoskeleton system motion state classification based on semg: application of CNN-BiLSTM-attention model.

Scientific reports May 30, 2025
This study aims to classify five typical motion states of the human upper limb based on surface electromyography signals, thereby supporting the real-time control system of an assistive upper limb exoskeleton. We propose a deep learning model combini...
Upper Extremity Motion Movement Exoskeleton Device Muscle, Skeletal Electromyography Algorithms Female Young Adult Adult Male Deep Learning Humans Neural Networks, Computer
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Assessing the performance of a point-of-need diagnostic algorithm in rapid detection of peripheral lymph node tuberculosis (Mobile-TB-Lab): a diagnostic evaluation study protocol.

BMJ open May 30, 2025
INTRODUCTION: Early and accurate diagnosis of tuberculosis (TB) is central to ensuring the proper treatment and curbing the transmission of the disease. Despite the significant burden, the diagnosis of peripheral lymph node(LN)TB, the most prevalent ...
Bangladesh Tuberculosis, Lymph Node Nucleic Acid Amplification Techniques Mycobacterium tuberculosis Humans Algorithms Point-of-Care Systems Uganda Lymph Nodes
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Development and validation of the Immune Profile Score (IPS), a novel multiomic algorithmic assay for stratifying outcomes in a real-world cohort of patients with advanced solid cancer treated with immune checkpoint inhibitors.

Journal for immunotherapy of cancer May 30, 2025
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the oncology treatment landscape. Despite substantial improvements for some patients, the majority do not benefit from ICIs, indicating a need for predictive biomarkers to better inform...
Humans Biomarkers, Tumor Male Middle Aged Algorithms Female Aged Neoplasms Immune Checkpoint Inhibitors Cohort Studies Treatment Outcome
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Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthcare data from the CLHLS database.

Frontiers in public health May 30, 2025
INTRODUCTION: With the increasing aging population, there is a growing need for precise and intelligent health management solutions tailored to older adult individuals. This study proposes a comprehensive digital health management platform that integ...
China Boosting Machine Learning Algorithms Mental Health Male Humans Artificial Intelligence Precision Medicine Algorithms Female Databases, Factual Aged
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Enhancing the dataset of CycleGAN-M and YOLOv8s-KEF for identifying apple leaf diseases.

PloS one May 30, 2025
Accurate diagnosis of apple diseases is vital for tree health, yield improvement, and minimizing economic losses. This study introduces a deep learning-based model to tackle issues like limited datasets, small sample sizes, and low recognition accura...
Deep Learning Plant Leaves Plant Diseases Malus Algorithms
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Prediction of drug-target interactions based on substructure subsequences and cross-public attention mechanism.

PloS one May 30, 2025
Drug-target interactions (DTIs) play a critical role in drug discovery and repurposing. Deep learning-based methods for predicting drug-target interactions are more efficient than wet-lab experiments. The extraction of original and substructural feat...
Drug Repositioning Pharmaceutical Preparations Data Mining Drug Discovery Deep Learning Proteins Humans Algorithms
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EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm.

PloS one May 30, 2025
Outlier detection is essential for identifying unusual patterns or observations that significantly deviate from the normal behavior of a dataset. With the rapid growth of data science, the prevalence of anomalies and outliers has increased, which can...
Deep Learning Cluster Analysis Clustering Algorithms Humans Machine Learning Algorithms
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PRP: pathogenic risk prediction for rare nonsynonymous single nucleotide variants.

Human genetics May 29, 2025
Reliable prediction of pathogenic variants plays a crucial role in personalized medicine, which aims to provide accurate diagnosis and individualized treatment using genomic medicine. This study introduces PRP, a pathogenic risk prediction for rare n...
Polymorphism, Single Nucleotide Computational Biology Humans Precision Medicine Machine Learning Genetic Predisposition to Disease Software Algorithms
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Scientific reports May 29, 2025
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. Innovative dee...
Metadata Normal Distribution Deep Learning Humans Algorithms Image Processing, Computer-Assisted Diabetic Foot
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