AIMC Topic:
Bayes Theorem

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Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning.

Technology in cancer research & treatment Jan 1, 2020
BACKGROUND AND AIM: Although the prognosis of nasopharyngeal cancer largely depends on a classification based on the tumor-lymph node metastasis staging system, patients at the same stage may have different clinical outcomes. This study aimed to eval...
Middle Aged Follow-Up Studies Bayes Theorem Neoplasm Staging Adult Survival Rate Male Neoplasm Grading Chemoradiotherapy Nasopharyngeal Neoplasms Neural Networks, Computer Machine Learning Algorithms Prognosis Retrospective Studies Female Aged Young Adult Humans
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Reducing False Alarm Rates in Neonatal Intensive Care: A New Machine Learning Approach.

Advances in experimental medicine and biology Jan 1, 2020
UNLABELLED: In neonatal intensive care units (NICUs), 87.5% of alarms by the monitoring system are false alarms, often caused by the movements of the neonates. Such false alarms are not only stressful for the neonates as well as for their parents and...
Machine Learning Infant, Newborn Monitoring, Physiologic Bayes Theorem Humans Intensive Care Units, Neonatal Infant, Premature Intensive Care, Neonatal Cerebrovascular Circulation Oximetry
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Development of a periodontitis risk assessment model for primary care providers in an interdisciplinary setting.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Periodontitis (PD), a form of gum disease, is a major public health concern as it is globally prevalent and harms both individual quality of life and economic productivity. Global cost in lost productivity is estimated at US$54 billion an...
Decision Support Systems, Clinical Logistic Models Artificial Intelligence Socioeconomic Factors Humans Retrospective Studies Middle Aged Support Vector Machine Age Factors Bayes Theorem Neural Networks, Computer Female Lipids Sex Factors Comorbidity Aged, 80 and over Periodontitis Aged Body Weights and Measures Primary Health Care Young Adult Blood Pressure Oral Hygiene Adult Male
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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.

Chaos (Woodbury, N.Y.) Dec 1, 2019
We suggest a new method for building data-driven dynamical models from observed multidimensional time series. The method is based on a recurrent neural network with specific structure, which allows for the joint reconstruction of both a low-dimension...
Neural Networks, Computer Data Analysis Algorithms Signal Processing, Computer-Assisted Computer Simulation Probability Models, Theoretical Stochastic Processes Bayes Theorem Atmosphere
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A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.

Clinical nuclear medicine Dec 1, 2019
PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a machine-learning algorithm with PET-based radiomic features.
Area Under Curve Bayes Theorem Humans Positron Emission Tomography Computed Tomography Machine Learning ROC Curve Retrospective Studies Image Processing, Computer-Assisted Carcinoma, Squamous Cell Female Lung Neoplasms Aged Male Middle Aged
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Machine-learning techniques for the prediction of protein-protein interactions.

Journal of biosciences Sep 1, 2019
Protein-protein interactions (PPIs) are important for the study of protein functions and pathways involved in different biological processes, as well as for understanding the cause and progression of diseases. Several high-throughput experimental tec...
Protein Interaction Maps Computational Biology Humans Support Vector Machine Bayes Theorem Machine Learning Proteins Algorithms
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Artificial intelligence in drug combination therapy.

Briefings in bioinformatics Jul 19, 2019
Currently, the development of medicines for complex diseases requires the development of combination drug therapies. It is necessary because in many cases, one drug cannot target all necessary points of intervention. For example, in cancer therapy, a...
Stochastic Processes Neural Networks, Computer Expert Systems Artificial Intelligence Drug Therapy, Combination Support Vector Machine Deep Learning Machine Learning Humans Drug Resistance Bayes Theorem Computational Biology Neoplasms Least-Squares Analysis Logistic Models Drug Interactions Gene Expression Regulation, Neoplastic
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GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making.

Bioinformatics (Oxford, England) Jul 15, 2019
MOTIVATION: Clinical decision support systems have been applied in numerous fields, ranging from cancer survival toward drug resistance prediction. Nevertheless, clinical decision support systems typically have a caveat: many of them are perceived as...
Probability Calibration Machine Learning Clinical Decision-Making Bayes Theorem
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Clinical Decision Support Systems: From the Perspective of Small and Imbalanced Data Set.

Studies in health technology and informatics Jul 4, 2019
Clinical decision support systems are data analysis software that supports health professionals' decision - making the process to reach their ultimate outcome, taking into account patient information. However, the need for decision support systems ca...
Machine Learning Algorithms Bayes Theorem Decision Support Systems, Clinical Humans Support Vector Machine
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Refinement of Convolutional Neural Network Based Cell Nuclei Detection Using Bayesian Inference.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Cytological samples provide useful data for cancer diagnostics but their visual analysis under a microscope is tedious and time-consuming. Moreover, some scientific tests indicate that various pathologists can classify the same sample differently or ...
Image Processing, Computer-Assisted Bayes Theorem Humans Cell Nucleus Neural Networks, Computer Breast Neoplasms
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