AIMC Topic: Probability

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Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.

European radiology Apr 16, 2019
PURPOSE: To study the feasibility of automatically identifying normal digital mammography (DM) exams with artificial intelligence (AI) to reduce the breast cancer screening reading workload.
Workload Feasibility Studies Probability False Negative Reactions Early Detection of Cancer Mammography Radiologists False Positive Reactions Humans Artificial Intelligence ROC Curve Mass Screening Female Breast Neoplasms
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A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans.

International journal of molecular sciences Apr 2, 2019
Gene fusions have a very important role in the study of cancer development. In this regard, predicting the probability of protein fusion transcripts of developing into a cancer is a very challenging and yet not fully explored research problem. To thi...
Algorithms Deep Learning Humans Neural Networks, Computer Probability Oncogene Fusion
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A Transition Control Mechanism for Artificial Bee Colony (ABC) Algorithm.

Computational intelligence and neuroscience Apr 1, 2019
Artificial Bee Colony (ABC) algorithm inspired by the complex search and foraging behaviors of real honey bees is one of the most promising implementations of the Swarm Intelligence- (SI-) based optimization algorithms. Due to its robust and phase-di...
Bees Neural Networks, Computer Behavior, Animal Artificial Intelligence Algorithms Workflow Animals Multimodal Imaging Probability
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Kirsch's, and everyone's, bind: How to build models for the wild?

Cognitive processing Mar 23, 2019
Alexandra Kirsch proposed a general formal model of decision making. She proposed it as a model both of human psychology and of artificial intelligence. As one might expect, and as Don Ross explicated, this is a challenging, albeit fascinating, posit...
Humans Artificial Intelligence Female Decision Making Probability Cognitive Science
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Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch.

Computational intelligence and neuroscience Mar 12, 2019
Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented parallel simulation is an important branch of parallel simulation. An important concept in equipment par...
Neural Networks, Computer Algorithms Computer Simulation Probability Normal Distribution Humans Uncertainty Orientation, Spatial
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Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.

Computer methods and programs in biomedicine Mar 8, 2019
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment...
Blood Vessels Neovascularization, Pathologic Medical Informatics Endothelial Cells Neoplasms Time Factors Immunotherapy Probability Markov Chains Angiogenesis Inhibitors Models, Statistical Machine Learning Algorithms Computer Simulation Humans
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Automated detection of koalas using low-level aerial surveillance and machine learning.

Scientific reports Mar 1, 2019
Effective wildlife management relies on the accurate and precise detection of individual animals. These can be challenging data to collect for many cryptic species, particularly those that live in complex structural environments. This study introduce...
Machine Learning Algorithms Animals Surveys and Questionnaires Phascolarctidae Weather Image Processing, Computer-Assisted Probability Remote Sensing Technology Automation Aircraft Pattern Recognition, Automated
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Phonocardiogram classification using deep neural networks and weighted probability comparisons.

Journal of medical engineering & technology Feb 18, 2019
Cardiac auscultation is one of the most conventional approaches for the initial assessment of heart disease, however the technique is highly user-dependent and with low repeatability. Several computational approaches based on the analysis of the phon...
Probability Algorithms Heart Sounds Phonocardiography Deep Learning Signal Processing, Computer-Assisted
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Humans Critical Care Databases, Factual Organ Dysfunction Scores Intensive Care Units Female Retrospective Studies Critical Illness Length of Stay Adolescent Male Aged Area Under Curve Severity of Illness Index Hospital Mortality Probability Longitudinal Studies Deep Learning Young Adult Decision Making Adult Middle Aged
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Evaluating classification accuracy for modern learning approaches.

Statistics in medicine Jan 30, 2019
Deep learning neural network models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are novel and attractive artificial intelligence computing tools. However, evaluation of the performance of these methods is not readily av...
Leukemia Discriminant Analysis Probability Humans Biopsy, Fine-Needle Biostatistics Female Logistic Models Breast Neoplasms Support Vector Machine Deep Learning Decision Trees
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