AIMC Topic: Support Vector Machine

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Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

Physical and engineering sciences in medicine May 27, 2021
Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some solutions using electroencephalography (EEG) signals have been presented in the literature to solve this problem. However, few studies have aimed to ...
Attention Deficit Disorder with Hyperactivity Support Vector Machine Electroencephalography Humans Neural Networks, Computer Deep Learning
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A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China.

Environmental monitoring and assessment May 27, 2021
Accurate and reliable water quality forecasting is of great significance for water resource optimization and management. This study focuses on the prediction of water quality parameters such as the dissolved oxygen (DO) in a river system. The accurac...
Water Quality Algorithms Environmental Monitoring China Rivers Support Vector Machine Least-Squares Analysis
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Prediction of Bedridden Duration of Hospitalized Patients by Machine Learning Based on EMRs at Admission.

Computers, informatics, nursing : CIN May 25, 2021
Being bedridden is a frequent comorbid condition that leads to a series of complications in clinical practice. The present study aimed to predict bedridden duration of hospitalized patients based on EMR at admission by machine learning. The medical d...
Support Vector Machine Retrospective Studies Hospitalization Logistic Models Humans Machine Learning
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Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Journal of assisted reproduction and genetics May 24, 2021
PURPOSE: AI and its machine learning algorithms have proven useful in several fields of medicine, including medically assisted reproduction. The purpose of the study was to construct several predictive models based on clinical data and select the bes...
Humans Male Support Vector Machine Patient Selection Pregnancy Fertility Agents, Female Spermatozoa Neural Networks, Computer Insemination, Artificial Female Decision Making, Computer-Assisted Gonadotropins Artificial Intelligence Letrozole Adult Clomiphene
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Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods.

BMC bioinformatics May 24, 2021
BACKGROUND: Moonlighting proteins (MPs) are a subclass of multifunctional proteins in which more than one independent or usually distinct function occurs in a single polypeptide chain. Identification of unknown cellular processes, understanding novel...
Support Vector Machine Proteins Cell Physiological Phenomena Machine Learning
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An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm.

Computers in biology and medicine May 23, 2021
Embedded feature selection algorithms, such as support vector machine based recursive feature elimination (SVM-RFE), have proven to be effective for many real applications. However, due to the model selection problem, SVM-RFE naturally suffers from a...
Algorithms Support Vector Machine
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Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.

Biomedical engineering online May 22, 2021
BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The associated motor symptoms are muscle rigidity or stiffness, bradykinesia, tremors, and gait disturbances. The correct diagnosis, especially in the initi...
Humans Signal Processing, Computer-Assisted Hand Female Case-Control Studies Rest Aged Support Vector Machine Parkinson Disease Male Middle Aged
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Fast screening of covariates in population models empowered by machine learning.

Journal of pharmacokinetics and pharmacodynamics May 21, 2021
One of the objectives of Pharmacometry (PMX) population modeling is the identification of significant and clinically relevant relationships between parameters and covariates. Here, we demonstrate how this complex selection task could benefit from sup...
Neural Networks, Computer Machine Learning Algorithms Humans Bayes Theorem Drug Evaluation, Preclinical Pharmacokinetics ROC Curve Support Vector Machine Models, Statistical
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Permutation-based identification of important biomarkers for complex diseases via machine learning models.

Nature communications May 21, 2021
Study of human disease remains challenging due to convoluted disease etiologies and complex molecular mechanisms at genetic, genomic, and proteomic levels. Many machine learning-based methods have been developed and widely used to alleviate some anal...
Neoplasms Proteomics Support Vector Machine Algorithms Biomarkers Disease Humans Neural Networks, Computer Machine Learning
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Prediction of the risk of C5 palsy after posterior laminectomy and fusion with cervical myelopathy using a support vector machine: an analysis of 184 consecutive patients.

Journal of orthopaedic surgery and research May 21, 2021
BACKGROUND: This study aimed to predict C5 palsy (C5P) after posterior laminectomy and fusion (PLF) with cervical myelopathy (CM) from routinely available variables using a support vector machine (SVM) method.
Retrospective Studies Female Risk Factors Humans Forecasting Paralysis Laminectomy Middle Aged Aged Logistic Models Postoperative Complications Male Spinal Fusion Support Vector Machine ROC Curve Multivariate Analysis Cervical Vertebrae Spinal Cord Diseases
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