AIMC Topic: Support Vector Machine

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Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors.

International journal of molecular sciences Oct 26, 2021
Olfactory receptors (ORs) constitute the largest superfamily of G protein-coupled receptors (GPCRs). ORs are involved in sensing odorants as well as in other ectopic roles in non-nasal tissues. Matching of an enormous number of the olfactory stimulat...
Receptors, Odorant Ligands HEK293 Cells In Vitro Techniques User-Computer Interface Bayes Theorem Drug Evaluation, Preclinical Support Vector Machine Drug Design Drug Discovery Male Molecular Docking Simulation Machine Learning Female Humans
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BH-index: A predictive system based on serum biomarkers and ensemble learning for early colorectal cancer diagnosis in mass screening.

Computer methods and programs in biomedicine Oct 25, 2021
BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the most common malignancies among the general population. Artificial Intelligence methodologies based on serum parameters are in continuous development to obtain less expensive tools for highly s...
Humans Artificial Intelligence Support Vector Machine Early Detection of Cancer Colorectal Neoplasms Mass Screening
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Improve hot region prediction by analyzing different machine learning algorithms.

BMC bioinformatics Oct 25, 2021
BACKGROUND: In the process of designing drugs and proteins, it is crucial to recognize hot regions in protein-protein interactions. Each hot region of protein-protein interaction is composed of at least three hot spots, which play an important role i...
Machine Learning Bayes Theorem Cluster Analysis Algorithms Proteins Support Vector Machine
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Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry.

The Analyst Oct 25, 2021
Electrochemical sensors and biosensors have been successfully used in a wide range of applications, but systematic optimization and nonlinear relationships have been compromised for electrode fabrication and data analysis. Machine learning and experi...
Algorithms Biosensing Techniques Support Vector Machine Neural Networks, Computer Machine Learning
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Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets.

Journal of bioinformatics and computational biology Oct 22, 2021
Bacterial virulence can be attributed to a wide variety of factors including toxins that harm the host. Pore-forming toxins are one class of toxins that confer virulence to the bacteria and are one of the promising targets for therapeutic interventio...
Bacteria Support Vector Machine Amino Acid Sequence
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Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk.

Frontiers in public health Oct 22, 2021
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of healthcare. The healthcare industry has a vast collection of datasets f...
Support Vector Machine Humans Bayes Theorem Neural Networks, Computer Heart Arrest Machine Learning
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Efficient Prediction of Missed Clinical Appointment Using Machine Learning.

Computational and mathematical methods in medicine Oct 22, 2021
Public health and its related facilities are crucial for thriving cities and societies. The optimum utilization of health resources saves money and time, but above all, it saves precious lives. It has become even more evident in the present as the pa...
Area Under Curve Data Interpretation, Statistical Appointments and Schedules No-Show Patients Bayes Theorem Machine Learning Support Vector Machine Decision Trees Algorithms Computational Biology Databases, Factual Logistic Models Humans Stochastic Processes Neural Networks, Computer
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Elucidating factors influencing machine learning algorithm prediction in spasticity assessment: a prospective observational study.

Computer methods in biomechanics and biomedical engineering Oct 20, 2021
The Machine Learning Model (MLM) has garnered popularity in rehabilitation, ranging from developing algorithms in outcome prediction, prognostication, and training artificial intelligence. High-quality data plays a critical role in algorithm developm...
Algorithms Support Vector Machine Muscle Spasticity Artificial Intelligence Machine Learning Humans
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Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters.

Sensors (Basel, Switzerland) Oct 20, 2021
Microseismic monitoring system is one of the effective means to monitor ground stress in deep mines. The accuracy and speed of microseismic signal identification directly affect the stability analysis in rock engineering. At present, manual identific...
Support Vector Machine Machine Learning Artificial Intelligence Algorithms Bayes Theorem Logistic Models
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Model Construction of Using Physiological Signals to Detect Mental Health Status.

Journal of healthcare engineering Oct 20, 2021
BACKGROUND: Mental health is a direct indicator of human mental activity, and it also affects all aspects of the human body. It plays a very important role in monitoring human mental health.
Health Status Heart Rate Discriminant Analysis Humans Electrocardiography Signal Processing, Computer-Assisted Algorithms Support Vector Machine
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