AIMC Topic: Datasets as Topic

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Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.

Briefings in bioinformatics Mar 23, 2020
Cancer is well recognized as a complex disease with dysregulated molecular networks or modules. Graph- and rule-based analytics have been applied extensively for cancer classification as well as prognosis using large genomic and other data over the p...
Humans Neoplasms Genomics Data Mining Datasets as Topic Machine Learning Algorithms Prognosis
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Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets.

Briefings in bioinformatics Mar 23, 2020
An important problem in bioinformatics consists of identifying the most important features (or predictors), among a large number of features in a given classification dataset. This problem is often addressed by using a machine learning-based feature ...
Machine Learning Computational Biology Datasets as Topic
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Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images.

Clinical and translational gastroenterology Mar 1, 2020
OBJECTIVES: A superficial nonampullary duodenal epithelial tumor (SNADET) is defined as a mucosal or submucosal sporadic tumor of the duodenum that does not arise from the papilla of Vater. SNADETs rarely metastasize to the lymph nodes, and most can ...
Neoplasms, Glandular and Epithelial Endoscopy, Digestive System Duodenal Neoplasms Duodenum Tumor Burden Aged, 80 and over Datasets as Topic Adult Humans Male Time Factors Female Image Processing, Computer-Assisted Middle Aged Aged Deep Learning
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medExtractR: A targeted, customizable approach to medication extraction from electronic health records.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research...
Humans Software Algorithms Data Mining Programming Languages Datasets as Topic Drug Therapy Electronic Health Records Natural Language Processing Pharmaceutical Preparations
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Consumer health information and question answering: helping consumers find answers to their health-related information needs.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2020
OBJECTIVE: Consumers increasingly turn to the internet in search of health-related information; and they want their questions answered with short and precise passages, rather than needing to analyze lists of relevant documents returned by search engi...
Consumer Health Information Search Engine MedlinePlus Machine Learning Deep Learning Humans Pilot Projects Information Storage and Retrieval Unified Medical Language System Natural Language Processing Datasets as Topic
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Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence.

Schizophrenia bulletin Jan 4, 2020
Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect psychosis at the individual level, the reliability of the findings is unclear due to potential methodological issues that may have inflated the existing...
Gray Matter Cerebral Cortex Datasets as Topic Pattern Recognition, Automated Neuroimaging Reproducibility of Results Humans Psychotic Disorders Male Young Adult Machine Learning Image Interpretation, Computer-Assisted Deep Learning Female Adult
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VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques.

Journal of biosciences Jan 1, 2020
Subcellular localization prediction of the proteome is one of major goals of large-scale genome or proteome sequencing projects to define the gene functions that could be possible with the help of computational modeling techniques. Previously, differ...
Datasets as Topic Proteome Viridiplantae Plant Proteins Support Vector Machine Software Plant Cells Databases, Protein Vacuoles ROC Curve Computational Biology
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ES-MDA: Enhanced Similarity-based MiRNA-Disease Association.

Current protein & peptide science Jan 1, 2020
Accumulating evidence demonstrate that miRNAs can be treated as critical biomarkers in various complex human diseases. Thus, the identifications on potential miRNA-disease associations have become a hotpot for providing better understanding of diseas...
Genetic Association Studies Computational Biology Databases, Genetic Algorithms Biomarkers, Tumor Neoplasms MicroRNAs Datasets as Topic Humans Machine Learning
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SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.

Current medical imaging Jan 1, 2020
BACKGROUND: Glioma is one of the most common and aggressive primary brain tumors that endanger human health. Tumors segmentation is a key step in assisting the diagnosis and treatment of cancer disease. However, it is a relatively challenging task to...
Datasets as Topic Image Processing, Computer-Assisted Neuroimaging Neural Networks, Computer Glioma Brain Humans Sensitivity and Specificity Magnetic Resonance Imaging Brain Neoplasms
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Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.

Current medical imaging Jan 1, 2020
BACKGROUND: Breast cancer is one of the most leading causes of cancer deaths among women. Early detection of cancer increases the survival rate of the affected women. Machine learning approaches that are used for classification of breast cancer usual...
Neural Networks, Computer Algorithms Female Support Vector Machine Early Detection of Cancer Sensitivity and Specificity Breast Neoplasms Humans Breast Diseases Mammography Datasets as Topic Radiographic Image Enhancement
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