AIMC Topic:
Bayes Theorem

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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study.

Technology in cancer research & treatment Jan 1, 2021
BACKGROUND: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT). As risk factors in the development of RP, patient and tumor characteristics, dosimetric parameters, and treatment features are intertwined, and it is...
Radiotherapy Radiation Pneumonitis Middle Aged Pilot Projects ROC Curve Lung Neoplasms Follow-Up Studies Bayes Theorem Aged, 80 and over Adult Male Risk Factors Aged Humans Neural Networks, Computer Machine Learning Algorithms Prognosis Female
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Predicting Metabolic Reaction Networks with Perturbation-Theory Machine Learning (PTML) Models.

Current topics in medicinal chemistry Jan 1, 2021
BACKGROUND: Checking the connectivity (structure) of complex Metabolic Reaction Networks (MRNs) models proposed for new microorganisms with promising properties is an important goal for chemical biology.
Humans Neural Networks, Computer Machine Learning Algorithms Bayes Theorem
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Epistasis Detection Based on Epi-GTBN.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis detection is a hot topic in bioinformatics due to its relevance to the detection of specific phenotypic traits and gene-gene interactions. Here, we present a step-by-step protocol to apply Epi-GTBN, a machine learning-based method based on ...
Machine Learning Software Phenotype Humans Genetic Loci Genotype Epistasis, Genetic Gene Regulatory Networks Data Mining Models, Genetic Polymorphism, Single Nucleotide Datasets as Topic Bayes Theorem
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Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2021
Acute infection, if not rapidly and accurately detected, can lead to sepsis, organ failure and even death. Current detection of acute infection as well as assessment of a patient's severity of illness are imperfect. Characterization of a patient's im...
Computational Biology Bayes Theorem Hospital Mortality Genomics Humans Machine Learning
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Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.

JCO clinical cancer informatics Jan 1, 2021
PURPOSE: Neoadjuvant chemotherapy (NAC) is used to treat locally advanced breast cancer (LABC) and high-risk early breast cancer (BC). Pathological complete response (pCR) has prognostic value depending on BC subtype. Rates of pCR, however, can be va...
Humans Neoadjuvant Therapy Bayes Theorem Breast Machine Learning Female Breast Neoplasms
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Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.

Mathematical biosciences and engineering : MBE Dec 10, 2020
The gait speed affects the gait patterns (biomechanical and spatiotemporal parameters) of distinct age populations. Classification of normal, slow and fast walking is fundamental for understanding the effects of gait speed on the gait patterns and fo...
Bayes Theorem Walking Gait Humans Machine Learning Support Vector Machine
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GNL-Scorer: a generalized model for predicting CRISPR on-target activity by machine learning and featurization.

Journal of molecular cell biology Dec 3, 2020
Humans Machine Learning Software Bayes Theorem CRISPR-Cas Systems Models, Genetic RNA, Guide, CRISPR-Cas Systems Regression Analysis
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Computational evidence for hierarchically structured reinforcement learning in humans.

Proceedings of the National Academy of Sciences of the United States of America Nov 24, 2020
Humans have the fascinating ability to achieve goals in a complex and constantly changing world, still surpassing modern machine-learning algorithms in terms of flexibility and learning speed. It is generally accepted that a crucial factor for this a...
Reinforcement, Psychology Learning Curve Adolescent Bayes Theorem Models, Psychological Young Adult Humans Adult Machine Learning Male Female
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Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.

Mathematical biosciences and engineering : MBE Nov 19, 2020
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure (CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 to 5 categories based on Empirical Receiver Operating Characteristics (ER...
Humans Bayes Theorem Algorithms Machine Learning Heart Failure ROC Curve Support Vector Machine
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Artificial intelligence and organ transplantation: challenges and expectations.

Current opinion in organ transplantation Aug 1, 2020
PURPOSE OF REVIEW: Classifiers based on artificial intelligence have emerged in all areas of medicine. Although very subtle, many decisions in organ transplantation can now be addressed in a more concisely manner with the support of these classifiers...
Artificial Intelligence Humans Bayes Theorem Neural Networks, Computer Organ Transplantation
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