AIMC Topic: Support Vector Machine

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Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: The coronavirus disease 2019 is a serious and highly contagious disease caused by infection with a newly discovered virus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Humans Neural Networks, Computer Animals COVID-19 Testing Support Vector Machine Whales Tomography, X-Ray Computed COVID-19 SARS-CoV-2 Algorithms
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Breast cancer detection employing stacked ensemble model with convolutional features.

Cancer biomarkers : section A of Disease markers Jan 1, 2024
Breast cancer is a major cause of female deaths, especially in underdeveloped countries. It can be treated if diagnosed early and chances of survival are high if treated appropriately and timely. For timely and accurate automated diagnosis, machine l...
Algorithms Female Breast Neoplasms Support Vector Machine Neural Networks, Computer Machine Learning Humans
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G-Induced Loss of Consciousness Prediction Using a Support Vector Machine.

Aerospace medicine and human performance Jan 1, 2024
Gravity-induced loss of consciousness (G-LOC) is a major threat to fighter pilots and may result in fatal accidents. The brain has a period of 5-6 s from the onset of high +G exposure, called the functional buffer period, during which transient isch...
Brain Support Vector Machine Humans Unconsciousness Centrifugation Aerospace Medicine
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Patterns of Gene Expression Profiles Associated with Colorectal Cancer in Colorectal Mucosa by Using Machine Learning Methods.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: Colorectal cancer (CRC) has a very high incidence and lethality rate and is one of the most dangerous cancer types. Timely diagnosis can effectively reduce the incidence of colorectal cancer. Changes in para-cancerous tissues may serve as...
Humans Cadherins Intestinal Mucosa Antigens, CD Gene Expression Profiling Gene Expression Regulation, Neoplastic Algorithms Transcriptome Support Vector Machine Colorectal Neoplasms Machine Learning
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Investigating the Precise Identification of Citrullination Sites with High- Performance Score Metrics Using a Powerful Computation Predicting Tool.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: To elucidate the detailed mechanisms of citrullination at the molecular level and design drugs applicable to major human diseases, predicting protein citrullination sites (PCSs) is essential. Using experimental approaches to predict PCSs ...
Humans Support Vector Machine Citrullination Machine Learning Computational Biology
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Selective prediction for extracting unstructured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVE: While there are currently approaches to handle unstructured clinical data, such as manual abstraction and structured proxy variables, these methods may be time-consuming, not scalable, and imprecise. This article aims to determine whether ...
Adenocarcinoma Support Vector Machine Humans Logistic Models
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Highlights from the 2023 SVM Vascular Scientific Sessions.

Vascular medicine (London, England) Dec 1, 2023
Humans Support Vector Machine Cardiovascular Diseases
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Prediction of CCLE Dataset Based on Integrated SVM Method.

Studies in health technology and informatics Nov 23, 2023
In this paper, we focus on the prediction and analysis of biogenetic data with high complexity by building integrated SVM models. Considering the complexity and high dimension of data set, we adopt the integration method based on sample segmentation ...
Linear Models Support Vector Machine
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[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Nov 6, 2023
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter stu...
Support Vector Machine Blood Cell Count Bayes Theorem Humans Machine Learning Depression
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Identification of Radix Bupleuri From Different Geographic Origins Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Support Vector Machine Algorithm.

Journal of AOAC International Nov 2, 2023
BACKGROUND: The geographic origin of Radix bupleuri is an important factor affecting its efficacy, which needs to be effectively identified.
Plant Extracts Support Vector Machine Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Lasers
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