AIMC Topic: Support Vector Machine

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Novel Artificial Intelligence Combining Convolutional Neural Network and Support Vector Machine to Predict Colorectal Cancer Prognosis and Mutational Signatures From Hematoxylin and Eosin Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jul 15, 2024
Reducing recurrence following radical resection of colon cancer without overtreatment or undertreatment remains a challenge. Postoperative adjuvant chemotherapy (Adj) is currently administered based solely on pathologic TNM stage. However, prognosis ...
Male Middle Aged Support Vector Machine Neoplasm Staging Mutation Neoplasm Recurrence, Local Eosine Yellowish-(YS) Hematoxylin Humans Neural Networks, Computer Artificial Intelligence Prognosis Female Aged Colorectal Neoplasms
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Machine learning-based prediction of diabetic patients using blood routine data.

Methods (San Diego, Calif.) Jul 15, 2024
Diabetes stands as one of the most prevalent chronic diseases globally. The conventional methods for diagnosing diabetes are frequently overlooked until individuals manifest noticeable symptoms of the condition. This study aimed to address this gap b...
ROC Curve Diabetes Mellitus Support Vector Machine Erythrocyte Indices Female Adult Male Middle Aged Humans Machine Learning Algorithms
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Asymmetric lesion detection with geometric patterns and CNN-SVM classification.

Computers in biology and medicine Jul 15, 2024
In dermoscopic images, which allow visualization of surface skin structures not visible to the naked eye, lesion shape offers vital insights into skin diseases. In clinically practiced methods, asymmetric lesion shape is one of the criteria for diagn...
Skin Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Support Vector Machine Humans Neural Networks, Computer Algorithms Melanoma
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HT_PREDICT: a machine learning-based computational open-source tool for screening HDAC6 inhibitors.

SAR and QSAR in environmental research Jul 15, 2024
Histone deacetylase 6 (HDAC6) is a promising drug target for the treatment of human diseases such as cancer, neurodegenerative diseases (in particular, Alzheimer's disease), and multiple sclerosis. Considerable attention is paid to the development of...
Machine Learning Support Vector Machine Drug Evaluation, Preclinical Quantitative Structure-Activity Relationship Humans Histone Deacetylase Inhibitors Neural Networks, Computer Histone Deacetylase 6
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Comparison of radiomics-based machine-learning classifiers for the pretreatment prediction of pathologic complete response to neoadjuvant therapy in breast cancer.

PeerJ Jul 15, 2024
BACKGROUND: Machine learning classifiers are increasingly used to create predictive models for pathological complete response (pCR) in breast cancer after neoadjuvant therapy (NAT). Few studies have compared the effectiveness of different ML classifi...
Radiomics Middle Aged ROC Curve Treatment Outcome Neoadjuvant Therapy Support Vector Machine Magnetic Resonance Imaging Female Pathologic Complete Response Aged Adult Breast Neoplasms Humans Machine Learning Retrospective Studies
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Rapid and non-destructive identification of Panax ginseng origins using hyperspectral imaging, visible light imaging, and X-ray imaging combined with multi-source data fusion strategies.

Food research international (Ottawa, Ont.) Jul 14, 2024
The geographical origin of Panax ginseng significantly influences its nutritional value and chemical composition, which in turn affects its market price. Traditional methods for analyzing these differences are often time-consuming and require substan...
Light Hyperspectral Imaging X-Rays Panax Algorithms Support Vector Machine
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Role of different omics data in the diagnosis of schizophrenia disorder: A machine learning study.

Schizophrenia research Jul 14, 2024
Schizophrenia is a serious mental disorder that affects millions of people worldwide. This disorder slowly disintegrates thinking ability and changes behaviours of patients. These patients will show some psychotic symptoms such as hallucinations, del...
Humans Machine Learning Transcriptome Support Vector Machine MicroRNAs Schizophrenia Biomarkers Female Adult Male Epigenome
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Comparative assessment of the capability of machine learning-based radiomic models for predicting omental metastasis in locally advanced gastric cancer.

Scientific reports Jul 13, 2024
The study aims to investigate the predictive capability of machine learning algorithms for omental metastasis in locally advanced gastric cancer (LAGC) and to compare the performance metrics of various machine learning predictive models. A retrospect...
Decision Trees Omentum Peritoneal Neoplasms Aged Adult Stomach Neoplasms Radiomics Algorithms Humans Retrospective Studies Male Machine Learning Tomography, X-Ray Computed Female Middle Aged ROC Curve Support Vector Machine
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Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression.

Sensors (Basel, Switzerland) Jul 12, 2024
Accurate prediction of scoliotic curve progression is crucial for guiding treatment decisions in adolescent idiopathic scoliosis (AIS). Traditional methods of assessing the likelihood of AIS progression are limited by variability and rely on static m...
Adolescent Wearable Electronic Devices Child Support Vector Machine Gait Scoliosis Gait Analysis Knee Female Male Disease Progression Deep Learning Humans Neural Networks, Computer Algorithms
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Interpretable machine learning for the prediction of death risk in patients with acute diquat poisoning.

Scientific reports Jul 12, 2024
The aim of this study was to develop and validate predictive models for assessing the risk of death in patients with acute diquat (DQ) poisoning using innovative machine learning techniques. Additionally, predictive models were evaluated through the ...
Humans Machine Learning Female Adult ROC Curve Logistic Models Support Vector Machine Diquat Male Middle Aged Risk Assessment China
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