AIMC Topic: Machine Learning

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An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation Jan 1, 2018
The BioCreative VI Track IV (mining protein interactions and mutations for precision medicine) challenge was organized in 2017 with the goal of applying biomedical text mining methods to support advancements in precision medicine approaches. As part ...
Algorithms Protein Interaction Maps Databases, Protein Neural Networks, Computer Mutation Machine Learning
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Assisting document triage for human kinome curation via machine learning.

Database : the journal of biological databases and curation Jan 1, 2018
In the era of data explosion, the increasing frequency of published articles presents unorthodox challenges to fulfill specific curation requirements for bio-literature databases. Recognizing these demands, we designed a document triage system with a...
Statistics as Topic Protein Kinases Data Mining Documentation Machine Learning Proteome Humans
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Tiresias: Context-sensitive Approach to Decipher the Presence and Strength of MicroRNA Regulatory Interactions.

Theranostics Jan 1, 2018
MicroRNAs (miRNAs) are short non-coding RNAs that regulate expression of target messenger RNAs (mRNAs) post-transcriptionally. Understanding the precise regulatory role of miRNAs is of great interest since miRNAs have been shown to play an important ...
Humans Neural Networks, Computer RNA, Messenger Machine Learning Gene Expression Regulation, Neoplastic MicroRNAs Animals Computational Biology Bayes Theorem
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Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine Dec 31, 2017
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...
Principal Component Analysis Area Under Curve Diagnostic Imaging ROC Curve Image Processing, Computer-Assisted Models, Statistical False Positive Reactions Neural Networks, Computer Machine Learning Software Algorithms Reproducibility of Results Diagnosis, Computer-Assisted
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Bayes Theorem Support Vector Machine Humans Reproducibility of Results Machine Learning Cluster Analysis Neural Networks, Computer Diagnosis, Computer-Assisted Breast Neoplasms Australia Algorithms Image Processing, Computer-Assisted Female
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Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program.

International journal of medical informatics Dec 30, 2017
OBJECTIVES: Since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in strategies to improve implementation of the program based on predictive analytics has grown. We investigated the performance of...
Early Intervention, Educational Aged Metabolic Syndrome Adult Japan Male Humans Retrospective Studies Middle Aged Health Behavior Machine Learning Female Logistic Models Algorithms Risk Factors Health Promotion
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Calibration of raw accelerometer data to measure physical activity: A systematic review.

Gait & posture Dec 30, 2017
Most of calibration studies based on accelerometry were developed using count-based analyses. In contrast, calibration studies based on raw acceleration signals are relatively recent and their evidences are incipient. The aim of the current study was...
Exercise Energy Metabolism Calibration Accelerometry Calorimetry, Indirect Humans Machine Learning
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Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool.

Journal of clinical epidemiology Dec 28, 2017
OBJECTIVES: To evaluate the reliability of RobotReviewer's risk of bias judgments.
Humans Systematic Reviews as Topic Reproducibility of Results Machine Learning Cross-Sectional Studies Bias Technology Prospective Studies
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Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy.

Radiological physics and technology Dec 28, 2017
Robustness to obstacles is the most important factor necessary to achieve accurate tumor tracking without fiducial markers. Some high-density structures, such as bone, are enhanced on X-ray fluoroscopic images, which cause tumor mistracking. Tumor tr...
Algorithms Tomography, X-Ray Computed Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Fiducial Markers Fluoroscopy Pattern Recognition, Automated X-Rays
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Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Dec 28, 2017
The noninvasive, fast acquisition of quantitative phase maps using digital holographic microscopy (DHM) allows tracking of rapid cellular motility on transparent substrates. On two-dimensional surfaces in vitro, MDA-MB-231 cancer cells assume several...
Cell Cycle Cell Adhesion Holography Microscopy, Fluorescence Cell Nucleus Actins Humans Machine Learning Cell Movement Neoplasm Invasiveness Breast Neoplasms Cell Line, Tumor
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