AIMC Topic: Datasets as Topic

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Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.

IEEE transactions on neural networks and learning systems Feb 24, 2016
Understanding the progression of chronic diseases can empower the sufferers in taking proactive care. To predict the disease status in the future time points, various machine learning approaches have been proposed. However, a few of them jointly cons...
Neural Networks, Computer Machine Learning Algorithms Humans Datasets as Topic Linear Models Neuroimaging Disease Progression Time Factors Alzheimer Disease
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Texture Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived Retinal Pigmented Epithelium.

PloS one Feb 19, 2016
AIMS: A fast, non-invasive and observer-independent method to analyze the homogeneity and maturity of human pluripotent stem cell (hPSC) derived retinal pigment epithelial (RPE) cells is warranted to assess the suitability of hPSC-RPE cells for impla...
Cell Differentiation Datasets as Topic Retinal Pigment Epithelium Cell Line Area Under Curve Stem Cells Algorithms Female Reproducibility of Results Animals Male Support Vector Machine Humans
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Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search.

Journal of medical Internet research Jan 14, 2016
BACKGROUND: Data discovery, particularly the discovery of key variables and their inter-relationships, is key to secondary data analysis, and in-turn, the evolving field of data science. Interface designers have presumed that their users are domain e...
User-Computer Interface Natural Language Processing Information Storage and Retrieval Internet Search Engine Datasets as Topic
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UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines.

BMC systems biology Jan 11, 2016
BACKGROUND: The conjugation of ubiquitin to a substrate protein (protein ubiquitylation), which involves a sequential process--E1 activation, E2 conjugation and E3 ligation, is crucial to the regulation of protein function and activity in eukaryotes....
Proteome Mass Spectrometry Models, Molecular Machine Learning Software Proteomics Amino Acid Motifs Sequence Analysis, Protein Lysine Ubiquitin Ubiquitination Protein Domains Amino Acid Sequence Datasets as Topic
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Decoding intracranial EEG data with multiple kernel learning method.

Journal of neuroscience methods Dec 12, 2015
BACKGROUND: Machine learning models have been successfully applied to neuroimaging data to make predictions about behavioral and cognitive states of interest. While these multivariate methods have greatly advanced the field of neuroimaging, their app...
Self Concept Signal Processing, Computer-Assisted Feasibility Studies Datasets as Topic Mathematical Concepts Semantics Pattern Recognition, Visual Pattern Recognition, Automated Humans Memory, Episodic Rest Machine Learning Drug Resistant Epilepsy Neuropsychological Tests Brain Electrocorticography Judgment
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Machine learning to assist risk-of-bias assessments in systematic reviews.

International journal of epidemiology Dec 8, 2015
BACKGROUND: Risk-of-bias assessments are now a standard component of systematic reviews. At present, reviewers need to manually identify relevant parts of research articles for a set of methodological elements that affect the risk of bias, in order t...
Data Mining Datasets as Topic Bias Review Literature as Topic Humans Machine Learning ROC Curve Logistic Models
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Cough event classification by pretrained deep neural network.

BMC medical informatics and decision making Nov 25, 2015
BACKGROUND: Cough is an essential symptom in respiratory diseases. In the measurement of cough severity, an accurate and objective cough monitor is expected by respiratory disease society. This paper aims to introduce a better performed algorithm, pr...
Cough Algorithms Datasets as Topic Severity of Illness Index Humans Normal Distribution Models, Statistical Neural Networks, Computer
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Extremely Randomized Machine Learning Methods for Compound Activity Prediction.

Molecules (Basel, Switzerland) Nov 9, 2015
Speed, a relatively low requirement for computational resources and high effectiveness of the evaluation of the bioactivity of compounds have caused a rapid growth of interest in the application of machine learning methods to virtual screening tasks....
Drug Discovery Models, Theoretical Datasets as Topic Machine Learning Algorithms
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A Study of Concept Extraction Across Different Types of Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Our research investigates methods for creating effective concept extractors for specialty clinical notes. First, we present three new "specialty area" datasets consisting of Cardiology, Neurology, and Orthopedics clinical notes manually annotated wit...
Datasets as Topic Information Storage and Retrieval Unified Medical Language System Humans Electronic Health Records Natural Language Processing
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An Ensemble Method for Spelling Correction in Consumer Health Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Orthographic and grammatical errors are a common feature of informal texts written by lay people. Health-related questions asked by consumers are a case in point. Automatic interpretation of consumer health questions is hampered by such errors. In th...
Humans Algorithms Language Natural Language Processing Consumer Health Informatics Datasets as Topic Information Storage and Retrieval
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