AIMC Topic: Bayes Theorem

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Personalized prediction of daily eczema severity scores using a mechanistic machine learning model.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology Sep 9, 2020
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and remission. Designing personalized treatment strategies for AD is challenging, given the apparent unpredictability and large variation in AD symptoms ...
Reproducibility of Results Severity of Illness Index Diagnosis, Computer-Assisted Humans Machine Learning Bayes Theorem Probability Proof of Concept Study Dermatitis, Atopic Time Factors Treatment Outcome Predictive Value of Tests
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Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network.

Medical & biological engineering & computing Sep 7, 2020
The paper focuses on the development of a reliable medical expert system for diagnosis of low back pain (LBP) by proposing an efficient frame-based knowledge representation scheme and a suitable resolution logic with conflicts in outcomes being resol...
Bayes Theorem Humans Low Back Pain Expert Systems Intervertebral Disc Pain Measurement
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Sequence-enabled community-based microbial source tracking in surface waters using machine learning classification: A review.

Journal of microbiological methods Sep 4, 2020
The development of Microbial Source Tracking (MST) technologies was borne out of necessity. This was largely due to the: 1) inadequacies of the fecal indicator bacterial paradigm, 2) fact that many fecal bacteria can survive and often grow in the env...
Bacteriological Techniques Environmental Monitoring Bayes Theorem Microbiota Water Pollution High-Throughput Nucleotide Sequencing Water Microbiology Animals Feces Bacteria Humans Machine Learning Algorithms
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Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.

International journal of environmental research and public health Sep 4, 2020
(1) Background: Coronary angiography is considered to be the most reliable method for the diagnosis of cardiovascular disease. However, angiography is an invasive procedure that carries a risk of complications; hence, it would be preferable for an ap...
Humans Artificial Intelligence Algorithms Iran Bayes Theorem Cross-Sectional Studies Coronary Angiography Logistic Models New Zealand Support Vector Machine
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Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania.

BMC biology Sep 3, 2020
BACKGROUND: Studies of mammalian sexual dimorphism have traditionally involved the measurement of selected dimensions of particular skeletal elements and use of single data-analysis procedures. Consequently, such studies have been limited by a variet...
Animals Male Bayes Theorem Machine Learning Female Fourier Analysis Wolves Sex Characteristics Israel Skull
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Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks.

Nature communications Sep 1, 2020
Deep learning with Convolutional Neural Networks has shown great promise in image-based classification and enhancement but is often unsuitable for predictive modeling using features without spatial correlations. We present a feature representation ap...
Humans Biomarkers, Tumor Oligonucleotide Array Sequence Analysis Cell Proliferation Drug Screening Assays, Antitumor Deep Learning Bayes Theorem Neoplasms High-Throughput Nucleotide Sequencing Cell Line, Tumor Antineoplastic Agents Datasets as Topic Image Processing, Computer-Assisted Gene Expression Profiling Drug Resistance, Neoplasm
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White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment.

Computer methods and programs in biomedicine Aug 26, 2020
BACKGROUND AND OBJECTIVE: Bayesian network is a probabilistic model of which the prediction accuracy may not be one of the highest in the machine learning family. Deep learning (DL) on the other hand possess of higher predictive power than many other...
Breast Neoplasms Humans Bayes Theorem Machine Learning Algorithms
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The Bayesian brain in imbalance: Medial, lateral and descending pathways in tinnitus and pain: A perspective.

Progress in brain research Aug 21, 2020
Tinnitus and pain share similarities in their anatomy, pathophysiology, clinical picture and treatments. Based on what is known in the pain field, a heuristic model can be proposed for the pathophysiolgy of tinnitus. This heuristic pathophysiological...
Electroencephalography Humans Pain Brain Tinnitus Bayes Theorem
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Automated quantification of myocardial tissue characteristics from native T mapping using neural networks with uncertainty-based quality-control.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 20, 2020
BACKGROUND: Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadolinium enhancement. Nat...
Uncertainty Stroke Volume Case-Control Studies Magnetic Resonance Imaging Quality Control Humans Predictive Value of Tests Neural Networks, Computer Image Interpretation, Computer-Assisted Bayes Theorem Automation Reproducibility of Results Myocardium Cardiomyopathies Ventricular Function, Left
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Bayesian machine learning to discover Bruton's tyrosine kinase inhibitors.

Chemical biology & drug design Aug 18, 2020
Bruton's tyrosine kinase (BTK) has a crucial role in multiple cell signaling pathways including B-cell antigen receptor (BCR) and Fc receptor (FcR) signaling cascades, which has attracted much attention to find BTK inhibitors to treat autoimmune dise...
Molecular Dynamics Simulation Reproducibility of Results Humans Molecular Docking Simulation Protein Kinase Inhibitors Machine Learning Bayes Theorem Agammaglobulinaemia Tyrosine Kinase
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