AIMC Topic: Bayes Theorem

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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...
Appointments and Schedules Computational Biology Data Interpretation, Statistical No-Show Patients Machine Learning Logistic Models Bayes Theorem Algorithms Humans Stochastic Processes Databases, Factual Neural Networks, Computer Support Vector Machine Decision Trees Area Under Curve
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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...
Logistic Models Support Vector Machine Bayes Theorem Artificial Intelligence Machine Learning Algorithms
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CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network.

Abdominal radiology (New York) Oct 12, 2021
BACKGROUND: At present, numerous challenges exist in the diagnosis of pancreatic SCNs and MCNs. After the emergence of artificial intelligence (AI), many radiomics research methods have been applied to the identification of pancreatic SCNs and MCNs.
Bayes Theorem Diagnosis, Differential Pancreatic Neoplasms Humans Artificial Intelligence Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
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miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.

PloS one Oct 12, 2021
Formation of mature miRNAs and their expression is a highly controlled process. It is very much dependent upon the post-transcriptional regulatory events. Recent findings suggest that several RNA binding proteins beyond Drosha/Dicer are involved in t...
MicroRNAs Bayes Theorem Humans Protein Binding Machine Learning RNA-Binding Proteins User-Computer Interface Databases, Genetic
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Classification of beta-site amyloid precursor protein cleaving enzyme 1 inhibitors by using machine learning methods.

Chemical biology & drug design Oct 11, 2021
The beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a transmembrane aspartyl-protease, that cleaves amyloid precursor protein (APP) at the β-site. The sequential proteolytic cleavage of APP, first by β-secretase and then by γ-secreta...
Machine Learning Reproducibility of Results Models, Theoretical Humans Aspartic Acid Endopeptidases Protease Inhibitors Databases, Pharmaceutical Molecular Structure Bayes Theorem Amyloid Precursor Protein Secretases
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Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.

Medical & biological engineering & computing Oct 11, 2021
The ubiquitous antimicrobial peptides (AMPs), with a broad range of antimicrobial activities, represent a great promise for combating the multi-drug resistant infections. In this study, using a large and diverse set of AMPs (2638) and non-AMPs (3700)...
Bayes Theorem Discriminant Analysis Pore Forming Cytotoxic Proteins Machine Learning Support Vector Machine
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Revisiting the out of Africa event with a deep-learning approach.

American journal of human genetics Oct 8, 2021
Anatomically modern humans evolved around 300 thousand years ago in Africa. They started to appear in the fossil record outside of Africa as early as 100 thousand years ago, although other hominins existed throughout Eurasia much earlier. Recently, s...
Fossils Evolution, Molecular Bayes Theorem Whole Genome Sequencing Genetic Variation Algorithms Monte Carlo Method Humans Africa Deep Learning
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Prediction of anxiety disorders using a feature ensemble based bayesian neural network.

Journal of biomedical informatics Oct 8, 2021
Anxiety disorders are common among youth, posing risks to physical and mental health development. Early screening can help identify such disorders and pave the way for preventative treatment. To this end, the Youth Online Diagnostic Assessment (YODA)...
Anxiety Disorders Adolescent Bayes Theorem Humans Neural Networks, Computer Mental Health Self Report
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Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study.

Sensors (Basel, Switzerland) Oct 8, 2021
Acute intestinal ischemia is a life-threatening condition. The current gold standard, with evaluation based on visual and tactile sensation, has low specificity. In this study, we explore the feasibility of using machine learning models on images of ...
Neural Networks, Computer Artificial Intelligence Intestine, Small Pilot Projects Animals Reperfusion Injury Swine Bayes Theorem
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Improved Prediction of Older Adult Discharge After Trauma Using a Novel Machine Learning Paradigm.

The Journal of surgical research Oct 7, 2021
BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is critical for clinical decision making. Using novel machine-learning techniques, we sought to design a nonlinear, competing risks paradigm for prediction...
Hospital Mortality Bayes Theorem Patient Discharge Retrospective Studies Aged Humans Machine Learning
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