AIMC Topic: Bayes Theorem

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An effective approach for CT lung segmentation using mask region-based convolutional neural networks.

Artificial intelligence in medicine Jan 8, 2020
Computer vision systems have numerous tools to assist in various medical fields, notably in image diagnosis. Computed tomography (CT) is the principal imaging method used to assist in the diagnosis of diseases such as bone fractures, lung cancer, hea...
Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Lung Humans Image Processing, Computer-Assisted Lung Neoplasms Support Vector Machine Bayes Theorem
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Bayesian deep matrix factorization network for multiple images denoising.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2020
This paper aims at proposing a robust and fast low rank matrix factorization model for multiple images denoising. To this end, a novel model, Bayesian deep matrix factorization network (BDMF), is presented, where a deep neural network (DNN) is design...
Deep Learning Image Processing, Computer-Assisted Bayes Theorem Signal-To-Noise Ratio
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Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

International journal of medical informatics Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Middle Aged Brazil Adolescent Incidence Cohort Studies Child Support Vector Machine Chemoradiotherapy Aged, 80 and over Neoplasm Recurrence, Local Young Adult Finland Humans Combined Modality Therapy Adult Algorithms Supervised Machine Learning Decision Trees Male Prognosis Tongue Neoplasms Bayes Theorem Female Mouth Neoplasms Aged
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Comparing different supervised machine learning algorithms for disease prediction.

BMC medical informatics and decision making Dec 21, 2019
BACKGROUND: Supervised machine learning algorithms have been a dominant method in the data mining field. Disease prediction using health data has recently shown a potential application area for these methods. This study ai7ms to identify the key tren...
Bayes Theorem Data Mining Clinical Decision Rules Humans Machine Learning Algorithms Risk Factors Support Vector Machine
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Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method.

Applied biochemistry and biotechnology Dec 16, 2019
Skin disease is the most common problem between people. Due to pollution and deployment of ozone layer, harmful UV rays of sun burn the skin and develop various types of skin diseases. Nowadays, machine learning and deep learning algorithms are gener...
Support Vector Machine Bayes Theorem Skin Diseases Humans Machine Learning Algorithms Diagnosis, Computer-Assisted
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Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Journal of medical systems Dec 13, 2019
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major disease affecting millions of people presently. The diagnosis of depression is questionnaire based a...
Humans Female Adult Image Processing, Computer-Assisted Logistic Models Male Support Vector Machine Middle Aged Electroencephalography Bayes Theorem Depressive Disorder, Major
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Predicting the occurrence of surgical site infections using text mining and machine learning.

PloS one Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Databases, Factual Female Male Surgical Wound Infection Predictive Value of Tests Humans Middle Aged Medical Records Bayes Theorem Machine Learning Data Mining Algorithms
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Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma.

Ophthalmology Dec 12, 2019
PURPOSE: To quantify the central visual field (VF) loss patterns in glaucoma using artificial intelligence.
Intraocular Pressure Humans Vision Disorders Retrospective Studies Male Bayes Theorem Glaucoma Female Middle Aged Visual Fields Artificial Intelligence Aged Visual Field Tests Cross-Sectional Studies
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Implementation of machine learning algorithms to create diabetic patient re-admission profiles.

BMC medical informatics and decision making Dec 12, 2019
BACKGROUND: Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming...
Bayes Theorem Patient Readmission Humans Machine Learning Algorithms Female Diabetes Mellitus Support Vector Machine
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Sensitivity and Specificity Male Middle Aged ROC Curve Female Aged Pulmonary Disease, Chronic Obstructive Bayes Theorem Logistic Models Support Vector Machine Predictive Value of Tests Humans Machine Learning Algorithms Electronic Health Records
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