AIMC Topic: Support Vector Machine

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Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

Progress in cardiovascular diseases Mar 19, 2020
There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning and deep learning approaches in cardiovascular (CV) medicine. In the era of modern medicine, AI and electronic health records hold the promise to improve...
Deep Learning Support Vector Machine Multimodal Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Humans Machine Learning Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted
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Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning.

Scientific reports Mar 18, 2020
Diagnosing autism spectrum disorders (ASD) is a complicated, time-consuming process which is particularly challenging in older individuals. One of the most widely used behavioral diagnostic tools is the Autism Diagnostic Observation Schedule (ADOS). ...
Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Diagnosis, Differential Male Symptom Assessment Psychometrics Psychological Tests Adolescent Support Vector Machine Humans Age Factors Machine Learning Algorithms Autism Spectrum Disorder
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SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.

Scientific reports Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
Support Vector Machine Obesity Anti-Obesity Agents Area Under Curve Stomach Neoplasms Antineoplastic Agents ROC Curve Machine Learning Lung Neoplasms Algorithms Computational Biology Humans Databases, Factual Computer Simulation Neural Networks, Computer
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Bootstrapping promotes the RSFC-behavior associations: An application of individual cognitive traits prediction.

Human brain mapping Mar 16, 2020
Resting-state functional connectivity (RSFC) records enormous functional interaction information between any pair of brain nodes, which enriches the individual-phenotypic prediction. To reduce high-dimensional features, correlation analysis is a comm...
Magnetic Resonance Imaging Connectome Humans Brain Image Processing, Computer-Assisted Cognition Support Vector Machine
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Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data.

Scientific reports Mar 16, 2020
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential diagnosis. Data analytics using Machine Learning (ML) have been playing a pivotal role in revolutionizing medical diagnostics. This research presents ...
Humans Support Vector Machine Neural Networks, Computer Follow-Up Studies Artificial Intelligence Diagnosis, Differential Machine Learning Algorithms Biomarkers, Tumor Prognosis Hematologic Neoplasms Female Male Aged Middle Aged Young Adult Adolescent Adult
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Infrared Rays Thermography Stochastic Processes Normal Distribution Respiratory Rate Equipment Design Signal Processing, Computer-Assisted Body Temperature Respiration Signal-To-Noise Ratio Temperature Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Male Artificial Intelligence Adolescent Algorithms Support Vector Machine Female Monitoring, Physiologic Models, Statistical
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Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports Mar 13, 2020
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...
Neoplasm Metastasis Microarray Analysis Kaplan-Meier Estimate Area Under Curve Neoplasm Staging Neoplasm Grading Workflow Humans Reproducibility of Results Biomarkers, Tumor Deep Learning Lung Neoplasms Computational Biology Support Vector Machine Carcinoma, Non-Small-Cell Lung
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Stroke Prediction with Machine Learning Methods among Older Chinese.

International journal of environmental research and public health Mar 12, 2020
Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous studies have mainly focused on stroke prediction with balanced data. Thus, this study aimed to develop machine learning models for predicting stroke with...
Male China Support Vector Machine Stroke Humans Forecasting Machine Learning Prospective Studies Prognosis Female Aged
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The detection of age groups by dynamic gait outcomes using machine learning approaches.

Scientific reports Mar 10, 2020
Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has ...
Humans Neural Networks, Computer Adult Male Middle Aged Adolescent Support Vector Machine Machine Learning Algorithms Female Aged Young Adult Torso Postural Balance Gait Acceleration Walking Speed
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Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach.

Diabetes & metabolic syndrome Mar 10, 2020
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-first century, both in developed and developing countries including Bangladesh. The main objective of this study is to use machine learning (ML) based c...
Logistic Models Treatment Outcome Humans Area Under Curve Adult Diabetes Mellitus Discriminant Analysis Machine Learning Male Support Vector Machine Automation Female Factor Analysis, Statistical Middle Aged Bangladesh Reproducibility of Results Health Surveys Demography Diabetes Mellitus, Type 2
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