AIMC Topic:
Bayes Theorem

Clear Filters Showing 1301 to 1310 of 1737 articles

Topological structures are consistently overestimated in functional complex networks.

Scientific reports Aug 10, 2018
Functional complex networks have meant a pivotal change in the way we understand complex systems, being the most outstanding one the human brain. These networks have classically been reconstructed using a frequentist approach that, while simple, comp...
Algorithms Brain Models, Theoretical Bayes Theorem Neural Networks, Computer
View on PubMed DOI

Development of Machine Learning Algorithms for Prediction of 5-Year Spinal Chordoma Survival.

World neurosurgery Aug 8, 2018
BACKGROUND: Chordomas are locally invasive slow-growing tumors that are difficult to study because of the rarity of the tumors and the lack of significant volumes of patients with longitudinal follow-up. As such, there are currently no machine learni...
Age of Onset Female Middle Aged Humans Aged Spinal Neoplasms United States SEER Program Machine Learning Male Chordoma Bayes Theorem Survival Analysis Algorithms Tumor Burden
View on PubMed DOI

Deep learning to predict the lab-of-origin of engineered DNA.

Nature communications Aug 7, 2018
Genetic engineering projects are rapidly growing in scale and complexity, driven by new tools to design and construct DNA. There is increasing concern that widened access to these technologies could lead to attempts to construct cells for malicious i...
Neural Networks, Computer Software Deep Learning Mutation Synthetic Biology Plasmids Image Processing, Computer-Assisted Genetic Engineering DNA Bayes Theorem
View on PubMed DOI

RDE: A novel approach to improve the classification performance and expressivity of KDB.

PloS one Jul 23, 2018
Bayesian network classifiers (BNCs) have demonstrated competitive classification performance in a variety of real-world applications. A highly scalable BNC with high expressivity is extremely desirable. This paper proposes Redundant Dependence Elimin...
Bayes Theorem Machine Learning Data Mining Software Classification Bias
View on PubMed DOI

A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds.

Journal of chemical information and modeling Jul 17, 2018
HIV resistance emerging against antiretroviral drugs represents a great threat to the continued prolongation of the lifespans of HIV-infected patients. Therefore, methods capable of predicting resistance susceptibility in the development of compounds...
HIV-1 Reverse Transcriptase Inhibitors Drug Resistance, Viral HIV Infections Bayes Theorem Models, Biological HIV Reverse Transcriptase Point Mutation Humans Machine Learning Drug Discovery
View on PubMed DOI

Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network.

PloS one Jul 12, 2018
Over the past few decades, the rise of multiple chronic conditions has become a major concern for clinicians. However, it is still not known precisely how multiple chronic conditions emerge among patients. We propose an unsupervised multi-level tempo...
Veterans Back Pain Brain Injuries, Traumatic Unsupervised Machine Learning Humans Bayes Theorem Female Male Comorbidity Adolescent Middle Aged Stress Disorders, Post-Traumatic Depression
View on PubMed DOI

Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.

Journal of medical systems Jul 11, 2018
Early detection of cancer can increase patients' survivability and treatment options. Medical images such as Mammogram, Ultrasound, Magnetic Resonance Imaging, and microscopic images are the common method for cancer diagnosis. Recently, computer-aide...
Support Vector Machine Mammography Bayes Theorem Neoplasms Diagnosis, Computer-Assisted Ultrasonography Humans Algorithms Breast Neoplasms
View on PubMed DOI

Discovering hidden knowledge through auditing clinical diagnostic knowledge bases.

Journal of biomedical informatics Jun 22, 2018
OBJECTIVE: Evaluate potential for data mining auditing techniques to identify hidden concepts in diagnostic knowledge bases (KB). Improving completeness enhances KB applications such as differential diagnosis and patient case simulation.
Models, Statistical Diagnosis, Differential Expert Systems Algorithms Bayes Theorem Humans Knowledge Bases Diagnosis, Computer-Assisted Medical Informatics Machine Learning Data Mining ROC Curve
View on PubMed DOI

Deep Learning for Plant Species Classification Using Leaf Vein Morphometric.

IEEE/ACM transactions on computational biology and bioinformatics Jun 19, 2018
An automated plant species identification system could help botanists and layman in identifying plant species rapidly. Deep learning is robust for feature extraction as it is superior in providing deeper information of images. In this research, a new...
Deep Learning Image Processing, Computer-Assisted Computational Biology Support Vector Machine Plant Leaves Bayes Theorem Algorithms Plants
View on PubMed DOI

Comparison of Machine-Learning Classification Models for Glaucoma Management.

Journal of healthcare engineering Jun 19, 2018
This study develops an objective machine-learning classification model for classifying glaucomatous optic discs and reveals the classificatory criteria to assist in clinical glaucoma management. In this study, 163 glaucoma eyes were labelled with fou...
Nerve Net Eye Bayes Theorem Regional Blood Flow Optic Disk Algorithms Decision Trees Tomography, Optical Coherence Humans Glaucoma Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals