AIMC Topic: Machine Learning

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Technology for Early Detection of Depression and Anxiety in Older People.

Studies in health technology and informatics Jan 1, 2017
Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine learning and technology for early detection of these conditions. Mood measures collected with digita...
Depression Self-Help Devices Depressive Disorder Humans Prospective Studies Machine Learning Anxiety Anxiety Disorders
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Random Forest.

Journal of insurance medicine (New York, N.Y.) Jan 1, 2017
For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of mo...
Regression Analysis Survival Analysis Machine Learning Risk Factors
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General Machine Learning Model, Review, and Experimental-Theoretic Study of Magnolol Activity in Enterotoxigenic Induced Oxidative Stress.

Current topics in medicinal chemistry Jan 1, 2017
This study evaluated the antioxidative effects of magnolol based on the mouse model induced by Enterotoxigenic Escherichia coli (E. coli, ETEC). All experimental mice were equally treated with ETEC suspensions (3.45×109 CFU/ml) after oral administrat...
Machine Learning Animals Oxidative Stress Biphenyl Compounds Lignans Enterotoxigenic Escherichia coli Mice Escherichia coli Infections Enteritis
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Feedforward Chemical Neural Network: An In Silico Chemical System That Learns xor.

Artificial life Jan 1, 2017
Inspired by natural biochemicals that perform complex information processing within living cells, we design and simulate a chemically implemented feedforward neural network, which learns by a novel chemical-reaction-based analogue of backpropagation....
Computer Simulation Neurons Membranes, Artificial Neural Networks, Computer Machine Learning Algorithms
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Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2017
PURPOSE: The purpose of this article is to compare the predictive power of two models trained with computed tomography (CT)-based radiological features and both CT-based radiological and clinical features for pathologic femoral fractures in patients ...
Odds Ratio Fractures, Spontaneous Risk Factors Femoral Fractures Aged Lung Neoplasms Adult Logistic Models Male Middle Aged Algorithms ROC Curve Humans Tomography, X-Ray Computed Machine Learning Female
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Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2017
In recent years, the role of miRNAs in post-transcriptional gene regulation has provided new insights into the understanding of several types of cancers and neurological disorders. Although miRNA research has gathered great momentum since its discove...
RNA, Messenger MicroRNAs Data Mining Gene Expression Regulation Animals Gene Regulatory Networks Genomics Humans Machine Learning
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Application of Machine Learning Approaches for Protein-protein Interactions Prediction.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2017
BACKGROUND: Proteomics endeavors to study the structures, functions and interactions of proteins. Information of the protein-protein interactions (PPIs) helps to improve our knowledge of the functions and the 3D structures of proteins. Thus determini...
Humans Machine Learning Computational Biology Animals Protein Interaction Mapping
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Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Journal of X-ray science and technology Jan 1, 2017
Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented an extremely rare case of extraskeletal osteoblastoma located in the breast. The tumor recurred 7 mo...
Ultrasonography, Doppler, Color Learning Curve Osteoblastoma Image Interpretation, Computer-Assisted Recurrence Neural Networks, Computer Machine Learning Female Breast Neoplasms ROC Curve Humans Breast
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Computational Methods to Predict Protein Functions from Protein-Protein Interaction Networks.

Current protein & peptide science Jan 1, 2017
Predicting functions of proteins is a key issue in the post-genomic era. Some experimental methods have been designed to predict protein functions. However, these methods cannot accommodate the vast amount of sequence data due to their inherent diffi...
Protein Interaction Mapping Decision Trees Proteins Humans Neural Networks, Computer Machine Learning Computational Biology Support Vector Machine
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A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Journal of X-ray science and technology Jan 1, 2017
PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses.
Humans Neural Networks, Computer Breast Neoplasms Mammography Image Interpretation, Computer-Assisted Machine Learning Algorithms Female
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