AIMC Topic: Machine Learning

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A region-specific clustering approach to investigate risk-factors in mortality rate during COVID-19: comprehensive statistical analysis from 208 countries.

Journal of medical engineering & technology Mar 22, 2021
Since the outbreak of the novel coronavirus, COVID-19 has continuously spread across the globe briskly. However, since its existence, the symptoms of the disease have been varying widely; thus, developing an urgent need to stratify high-risk categori...
Risk Factors Animals Analysis of Variance COVID-19 Algorithms Humans Machine Learning
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MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.

Sensors (Basel, Switzerland) Mar 22, 2021
Brain tumor classification plays an important role in clinical diagnosis and effective treatment. In this work, we propose a method for brain tumor classification using an ensemble of deep features and machine learning classifiers. In our proposed fr...
Support Vector Machine Magnetic Resonance Imaging Machine Learning Humans Brain Neoplasms Neural Networks, Computer
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Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview.

Biomolecules Mar 22, 2021
Hepatic biopsy is the gold standard for staging nonalcoholic fatty liver disease (NAFLD). Unfortunately, accessing the liver is invasive, requires a multidisciplinary team and is too expensive to be conducted on large segments of the population. NAFL...
Humans Artificial Intelligence Animals Adipose Tissue Machine Learning Lipidomics Non-alcoholic Fatty Liver Disease Bariatric Surgery
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Deep Learning for Novel Antimicrobial Peptide Design.

Biomolecules Mar 22, 2021
Antimicrobial resistance is an increasing issue in healthcare as the overuse of antibacterial agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the arsenal of available agents is decreasing, especially for the tre...
Pore Forming Cytotoxic Proteins Molecular Conformation Protein Conformation, alpha-Helical ROC Curve Machine Learning Bayes Theorem Area Under Curve Escherichia coli Deep Learning Amino Acid Sequence
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Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach.

JMIR mHealth and uHealth Mar 22, 2021
BACKGROUND: Mental health disorders affect multiple aspects of patients' lives, including mood, cognition, and behavior. eHealth and mobile health (mHealth) technologies enable rich sets of information to be collected noninvasively, representing a pr...
Emotions Bayes Theorem Mental Health Exercise Humans Machine Learning
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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 22, 2021
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI) field. Modern radiation oncology is based on the exploitation of advanced computational methods aiming to personalization and high diagnostic and therapeut...
Artificial Intelligence Machine Learning Image Processing, Computer-Assisted Multicenter Studies as Topic Deep Learning Neural Networks, Computer
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Integrating structure-based machine learning and co-evolution to investigate specificity in plant sesquiterpene synthases.

PLoS computational biology Mar 22, 2021
Sesquiterpene synthases (STSs) catalyze the formation of a large class of plant volatiles called sesquiterpenes. While thousands of putative STS sequences from diverse plant species are available, only a small number of them have been functionally ch...
Plants Amino Acid Sequence Sesquiterpenes Machine Learning Evolution, Molecular Substrate Specificity Sequence Homology, Amino Acid Alkyl and Aryl Transferases Protein Conformation Cations
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Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System.

Journal of healthcare engineering Mar 22, 2021
Multilabel recognition of morphological images and detection of cancerous areas are difficult to locate in the scenario of the image redundancy and less resolution. Cancerous tissues are incredibly tiny in various scenarios. Therefore, for automatic ...
Computers Machine Learning Rats Animals Female Breast Neoplasms Algorithms Computer Systems Humans Neural Networks, Computer
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Artificial intelligence in cardiovascular CT: Current status and future implications.

Journal of cardiovascular computed tomography Mar 22, 2021
Artificial intelligence (AI) refers to the use of computational techniques to mimic human thought processes and learning capacity. The past decade has seen a rapid proliferation of AI developments for cardiovascular computed tomography (CT). These al...
Predictive Value of Tests Artificial Intelligence Algorithms Humans Tomography, X-Ray Computed Machine Learning
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Effective recognition of human lower limb jump locomotion phases based on multi-sensor information fusion and machine learning.

Medical & biological engineering & computing Mar 21, 2021
Jump locomotion is the basic movement of human. However, no thorough research on the recognition of jump sub-phases has been carried so far. This paper aims to use multi-sensor information fusion and machine learning to recognize the human jump phase...
Humans Lower Extremity Electromyography Locomotion Machine Learning Algorithms
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