AIMC Topic: Datasets as Topic

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Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.

PloS one Mar 8, 2018
Factor analysis is broadly used as a powerful unsupervised machine learning tool for reconstruction of hidden features in recorded mixtures of signals. In the case of a linear approximation, the mixtures can be decomposed by a variety of model-free B...
Fourier Analysis Algorithms Signal Processing, Computer-Assisted Unsupervised Machine Learning Markov Chains Factor Analysis, Statistical Bayes Theorem Datasets as Topic Monte Carlo Method
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Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants.

Computational and mathematical methods in medicine Mar 5, 2018
Arrhythmia is considered a life-threatening disease causing serious health issues in patients, when left untreated. An early diagnosis of arrhythmias would be helpful in saving lives. This study is conducted to classify patients into one of the sixte...
Humans Datasets as Topic Support Vector Machine Cardiac Conduction System Disease Arrhythmias, Cardiac
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Microaneurysm detection using fully convolutional neural networks.

Computer methods and programs in biomedicine Feb 22, 2018
BACKROUND AND OBJECTIVES: Diabetic retinopathy is a microvascular complication of diabetes that can lead to sight loss if treated not early enough. Microaneurysms are the earliest clinical signs of diabetic retinopathy. This paper presents an automat...
Humans Diabetic Retinopathy Fundus Oculi Datasets as Topic Automation Photography Neural Networks, Computer Algorithms Diagnostic Imaging Microaneurysm
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Area Under Curve Biopsy Skin Datasets as Topic Image Processing, Computer-Assisted Diagnosis, Differential Predictive Value of Tests Warts Granuloma, Pyogenic Aged, 80 and over Female Humans Deep Learning Keratosis, Actinic Male False Positive Reactions Young Adult Skin Neoplasms Software Middle Aged Photography Lentigo ROC Curve Adult Aged Keratosis, Seborrheic
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The rise of deep learning in drug discovery.

Drug discovery today Jan 31, 2018
Over the past decade, deep learning has achieved remarkable success in various artificial intelligence research areas. Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other machine l...
Datasets as Topic Neural Networks, Computer Drug Discovery Machine Learning Diagnostic Imaging
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Machine learning in cardiovascular medicine: are we there yet?

Heart (British Cardiac Society) Jan 19, 2018
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encompassing sev...
Genetic Predisposition to Disease Causality Diagnostic Imaging Clinical Trials as Topic Cardiology Registries Datasets as Topic Phenotype Big Data Genomics Humans Machine Learning
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Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND: Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult task due to various tumour types. Using information and features from multimodal MRI including structural MRI and isotropic (p) and anisotropic (q) co...
Brain Neoplasms Magnetic Resonance Imaging Multimodal Imaging Neoplasm Grading Humans Algorithms Supervised Machine Learning Datasets as Topic Diffusion Tensor Imaging
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Supervised Machine Learning for Population Genetics: A New Paradigm.

Trends in genetics : TIG Jan 10, 2018
As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of information. To keep pace with this explosion of data, computational methodologies for population genetic inference are rapidly be...
Genetics, Population Humans Datasets as Topic Selection, Genetic Supervised Machine Learning Genome, Human Biological Evolution Data Mining
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Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition.

Journal of chemical information and modeling Jan 10, 2018
Inspired by natural language processing techniques, we here introduce Mol2vec, which is an unsupervised machine learning approach to learn vector representations of molecular substructures. Like the Word2vec models, where vectors of closely related w...
Datasets as Topic Protein Conformation Natural Language Processing Molecular Structure Models, Chemical Proteins Unsupervised Machine Learning Algorithms Reproducibility of Results
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A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Nature communications Jan 3, 2018
Cancers that appear pathologically similar often respond differently to the same drug regimens. Methods to better match patients to drugs are in high demand. We demonstrate a promising approach to identify robust molecular markers for targeted treatm...
Drug Resistance, Neoplasm Etoposide Topoisomerase II Inhibitors Humans Transcription Factors Machine Learning Cell Line Datasets as Topic Biomarkers, Tumor Antineoplastic Agents Leukemia, Myeloid, Acute DNA Helicases Algorithms Nuclear Proteins Precision Medicine
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