AIMC Topic: Algorithms

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Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.

Scientific reports Jul 1, 2025
This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in hepatocellular carcinoma, establish a prediction model for spontaneous rupture bleeding via a machine learning algorithm, and validate and evaluate the ...
Rupture, Spontaneous Algorithms Risk Factors Aged Carcinoma, Hepatocellular Retrospective Studies Adult Hemorrhage Female Male Middle Aged Liver Neoplasms Humans Machine Learning
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XAI-XGBoost: an innovative explainable intrusion detection approach for securing internet of medical things systems.

Scientific reports Jul 1, 2025
The Internet of Medical Things (IoMT) has transformed healthcare delivery but faces critical challenges, including cybersecurity threats that endanger patient safety and data integrity. Intrusion Detection Systems (IDS) are essential for protecting I...
Humans Algorithms Boosting Machine Learning Algorithms Delivery of Health Care Internet of Things Computer Security
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Automatic melanoma detection using an optimized five-stream convolutional neural network.

Scientific reports Jul 1, 2025
Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing dramatically worldwide. Its early and accurate diagnosis is crucial for effective treatment. However, automatic melanoma detection has several signifi...
Convolutional Neural Networks Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Deep Learning Algorithms Melanoma Humans Neural Networks, Computer
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A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides.

Scientific reports Jul 1, 2025
Interleukin-6 (IL-6) is a cytokine with diverse biological activities that contribute to a variety of physiologic and immune responses. IL-6-inducing peptides are the short protein fragments that are critical for playing a contributing role in biolog...
Humans Machine Learning Algorithms Deep Learning Interleukin-6 Computational Biology Peptides Genetic Algorithms
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Trimodal machine learning based biometrics system.

Scientific reports Jul 1, 2025
Biometrics-based authentication systems have recently been considered as one of the safest methods to secure our data or possessions. In the literature, the solutions based on one or two measurable traits are broadly described. There was also claim t...
Biometry Dermatoglyphics Humans Neural Networks, Computer Machine Learning Algorithms Fingers Biometric Identification
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Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Scientific reports Jul 1, 2025
Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a cause of chronic gastritis, peptic ulcers and gastric carcinoma. The manual detection of HP in a glass slide with a microscope is extremely time-cons...
Deep Learning Smartphone Biopsy Helicobacter Infections Helicobacter pylori Stomach Humans Algorithms Diagnosis, Computer-Assisted
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Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Scientific reports Jul 1, 2025
Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood...
Machine Learning Algorithms Female Humans Artificial Intelligence Fusion Proteins, bcr-abl Leukemia, Myelogenous, Chronic, BCR-ABL Positive Male Flow Cytometry Protein Kinase Inhibitors
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Comprehensive datasets for RNA design, machine learning, and beyond.

Scientific reports Jul 1, 2025
RNA molecules are essential in regulating biological processes such as gene expression, cellular differentiation, and development. Accurately predicting RNA secondary structures and designing sequences that fold into specific configurations remain si...
Machine Learning RNA Algorithms Nucleic Acid Conformation Computational Biology
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.

Scientific reports Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
Signal Processing, Computer-Assisted Schizophrenia Humans Male Support Vector Machine Electroencephalography Algorithms Female Adult
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm.

Scientific reports Jul 1, 2025
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impressive because of the possibility of analyzing and translating brain signals related to movement inte...
Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Movement Imagination Brain Electroencephalography Signal Processing, Computer-Assisted
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