AI Medical Compendium Topic:
Bayes Theorem

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A review on neural network models of schizophrenia and autism spectrum disorder.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2019
This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep neural network architectures. We analyzed and compared the most representative symptoms wit...
Humans Neural Networks, Computer Autism Spectrum Disorder Bayes Theorem Schizophrenia Connectome
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Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm.

JDR clinical and translational research Nov 11, 2019
OBJECTIVES: Evaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral heal...
Adolescent Humans Child, Preschool Machine Learning Child Algorithms Oral Health Surveys and Questionnaires Bayes Theorem
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Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

European radiology Nov 8, 2019
OBJECTIVES: This study aimed to develop non-invasive machine learning classifiers for predicting post-Glenn shunt patients with low and high risks of a mean pulmonary arterial pressure (mPAP) > 15 mmHg based on preoperative cardiac computed tomograph...
Pulmonary Artery Heart Septal Defects Univentricular Heart Bayes Theorem Discriminant Analysis Double Outlet Right Ventricle Fontan Procedure Heart Defects, Congenital Pulmonary Atresia Tricuspid Atresia Cardiac Catheterization Transposition of Great Vessels Child Humans Logistic Models Machine Learning Infant Support Vector Machine Algorithms Lung Blood Pressure Prognosis Adolescent Retrospective Studies Child, Preschool Tomography, X-Ray Computed Female Young Adult Male
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Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the potential value of the machine learning (ML)-based MRI texture analysis for predicting 1p/19q codeletion status of lower-grade gliomas (LGG), using various state-of-the-art ML algorithms.
Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Female Humans Glioma Support Vector Machine Magnetic Resonance Imaging Area Under Curve Bayes Theorem Adult Brain Neoplasms Male Middle Aged Chromosome Deletion Chromosomes, Human, Pair 1 Chromosomes, Human, Pair 19
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Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.

BMC medical informatics and decision making Nov 5, 2019
BACKGROUND: Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled h...
Bayes Theorem Delivery, Obstetric Young Adult Adult Cross-Sectional Studies Middle Aged Machine Learning Humans Maternal Health Services Clinical Decision-Making Pregnancy Adolescent Female Health Surveys Logistic Models Ethiopia
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A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
Algorithms Female Reproducibility of Results Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve Bayes Theorem Humans Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Machine Learning Breast Support Vector Machine Pattern Recognition, Automated Mammography False Positive Reactions
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Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network.

Journal of healthcare engineering Nov 3, 2019
Breast cancer is the most common cancer among women worldwide with about half a million cases reported each year. Mammary thermography can offer early diagnosis at low cost if adequate thermographic images of the breasts are taken. The identification...
Models, Statistical Bayes Theorem Reproducibility of Results Humans Breast Thermography Breast Neoplasms Neural Networks, Computer Pattern Recognition, Automated Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Female
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Estimating treatment effects with machine learning.

Health services research Oct 10, 2019
OBJECTIVE: To demonstrate the performance of methodologies that include machine learning (ML) algorithms to estimate average treatment effects under the assumption of exogeneity (selection on observables).
Algorithms Humans Computer Simulation Adult Female Models, Statistical Machine Learning Aged Male Inpatients Aged, 80 and over Middle Aged Data Interpretation, Statistical Treatment Outcome Bayes Theorem Cardiac Catheterization
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ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.

Scientific reports Oct 4, 2019
Machine learning algorithms hold the promise to effectively automate the analysis of histopathological images that are routinely generated in clinical practice. Any machine learning method used in the clinical diagnostic process has to be extremely a...
Workflow Uncertainty Pathology, Clinical Deep Learning Humans Image Processing, Computer-Assisted Reproducibility of Results Bayes Theorem Colorectal Neoplasms Rectum Colon
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Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields.

Journal of chemical information and modeling Sep 27, 2019
We present a machine learning approach to automated force field development in dissipative particle dynamics (DPD). The approach employs Bayesian optimization to parametrize a DPD force field against experimentally determined partition coefficients. ...
Thermodynamics Chemical Engineering Machine Learning Algorithms Bayes Theorem Molecular Dynamics Simulation
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