AIMC Topic: Support Vector Machine

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Explainable machine learning models for predicting the acute toxicity of pesticides to sheepshead minnow (Cyprinodon variegatus).

The Science of the total environment Nov 16, 2024
A quantitative structure-activity relationship (QSAR) study was conducted on 313 pesticides to predict their acute toxicity to Sheepshead minnow (Cyprinodon variegatus) by using DRAGON descriptors. Essentials accounting for a reliable model were all ...
Machine Learning Pesticides Quantitative Structure-Activity Relationship Toxicity Tests, Acute Killifishes Animals Support Vector Machine Water Pollutants, Chemical
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment.

Sensors (Basel, Switzerland) Nov 16, 2024
Individual physiotherapy is crucial in treating patients with various pain and health issues, and significantly impacts abdominal surgical outcomes and further medical problems. Recent technological and artificial intelligent advancements have equipp...
Exercise Adolescent Child Bayes Theorem Signal Processing, Computer-Assisted Mobile Applications Support Vector Machine Adult Male Middle Aged Female Aged Young Adult Accelerometry Humans Neural Networks, Computer Machine Learning
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An interpretable (explainable) model based on machine learning and SHAP interpretation technique for mapping wind erosion hazard.

Environmental science and pollution research international Nov 15, 2024
Soil erosion by wind poses a significant threat to various regions across the globe, such as drylands in the Middle East and Iran. Wind erosion hazard maps can assist in identifying the regions of highest wind erosion risk and are a valuable tool for...
Iran Wind Models, Theoretical Environmental Monitoring Support Vector Machine Machine Learning Soil
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The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels.

Journal of bioinformatics and computational biology Nov 15, 2024
Research suggests that individuals who experience prolonged exposure to stress may be at higher risk for developing psychological stress disorders. Currently, psychological stress is primarily evaluated by professional physicians using rating scales,...
Support Vector Machine Area Under Curve Fibronectins Male Stress, Psychological Proteomics Humans Machine Learning Female Adult Algorithms Biomarkers
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Sex prediction through machine learning utilizing mandibular condyles, coronoid processes, and sigmoid notches features.

PloS one Nov 15, 2024
Characteristics of the mandible structures have been relevant in anthropological and forensic studies for sex prediction. This study aims to evaluate the coronoid process, condyle, and sigmoid notch patterns in sex prediction through supervised machi...
Sex Determination by Skeleton Mandibular Condyle Male Middle Aged Adolescent Support Vector Machine Cephalometry ROC Curve Mandible Female Young Adult Adult Humans Machine Learning Algorithms
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Prediction of 12-month recurrence of pancreatic cancer using machine learning and prognostic factors.

BMC medical informatics and decision making Nov 14, 2024
BACKGROUND AND AIM: Pancreatic cancer is lethal and prevalent among other cancer types. The recurrence of this tumor is high, especially in patients who did not receive adjuvant therapies. Early prediction of PC recurrence has a significant role in e...
Pancreatic Neoplasms Neoplasm Recurrence, Local Iran Male Middle Aged Support Vector Machine Humans Machine Learning Prognosis Aged Adult Retrospective Studies Female
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Prediction model and technical and tactical decision analysis of women's badminton singles based on machine learning.

PloS one Nov 14, 2024
In the Paris Olympic cycle, South Korean women's athlete An Se-young rose to the top of the 2023 BWF Olympic points with a win rate of 89.5%. With An Se-young as the subject, this paper aims to carry out technical and tactical analysis of women's bad...
Machine Learning Algorithms Republic of Korea Female Racquet Sports Support Vector Machine Decision Making Athletes Humans
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Protocol to calculate and compare exact Shapley values for different kernels in support vector machine models using binary features.

STAR protocols Nov 13, 2024
The Shapley value formalism from cooperative game theory was adapted to explain predictions of machine learning models. Here, we present a protocol to calculate and compare exact Shapley values for support vector machine models with commonly used ker...
Humans Game Theory Software Algorithms Support Vector Machine
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The voice of depression: speech features as biomarkers for major depressive disorder.

BMC psychiatry Nov 12, 2024
BACKGROUND: Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessments are based on subjective evaluations. Automated speech analysis shows promise in detecting symptom severity in depressed patients. This project ai...
Psychiatric Status Rating Scales Support Vector Machine Speech Acoustics Depressive Disorder, Major Case-Control Studies Speech Humans Machine Learning Biomarkers Male Middle Aged Female Adult
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Facial Image expression recognition and prediction system.

Scientific reports Nov 12, 2024
Facial expression recognition system is an advanced technology that allows machines to recognize human emotions based on their facial expressions. In order to develop a robust prediction model, this research work proposes three distinct architectural...
Humans Neural Networks, Computer Algorithms Automated Facial Recognition Face Facial Expression Image Processing, Computer-Assisted Support Vector Machine Emotions
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