AIMC Topic: Datasets as Topic

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AI can be sexist and racist - it's time to make it fair.

Nature Jul 1, 2018
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Natural Language Processing Sex Factors Datasets as Topic Female Male Social Justice Race Factors Racism Sexism
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Applying Machine-Learning Techniques to Build Self-reported Depression Prediction Models.

Computers, informatics, nursing : CIN Jul 1, 2018
Datasets as Topic Logistic Models Mass Screening Self Report Female Aged Aged, 80 and over Male Humans Middle Aged Machine Learning Depression
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UMLS to DBPedia link discovery through circular resolution.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: The goal of this work is to map Unified Medical Language System (UMLS) concepts to DBpedia resources using widely accepted ontology relations from the Simple Knowledge Organization System (skos:exactMatch, skos:closeMatch) and from the Res...
Algorithms Knowledge Bases Cloud Computing Datasets as Topic Semantic Web Unified Medical Language System Medical Informatics Applications Vocabulary, Controlled
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Deep Learning for Predicting Refractive Error From Retinal Fundus Images.

Investigative ophthalmology & visual science Jun 1, 2018
PURPOSE: We evaluate how deep learning can be applied to extract novel information such as refractive error from retinal fundus imaging.
Vision Tests Refractive Errors Deep Learning Fundus Oculi Retina Datasets as Topic Visual Fields Male Middle Aged Refraction, Ocular Aged Adult Humans Algorithms Female
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Using machine learning for sequence-level automated MRI protocol selection in neuroradiology.

Journal of the American Medical Informatics Association : JAMIA May 1, 2018
Incorrect imaging protocol selection can lead to important clinical findings being missed, contributing to both wasted health care resources and patient harm. We present a machine learning method for analyzing the unstructured text of clinical indica...
Magnetic Resonance Imaging Datasets as Topic Sensitivity and Specificity Humans Neuroradiography Decision Support Systems, Clinical Machine Learning Support Vector Machine
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Big Data and Machine Learning in Health Care.

JAMA Apr 3, 2018
Datasets as Topic Machine Learning Algorithms Data Mining Humans Neural Networks, Computer
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Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2018
BACKGROUND: Tumor-specific mutations form novel immunogenic peptides called neoantigens. Neoantigens can be used as a biomarker predicting patient response to cancer immunotherapy. Although a predicted binding affinity (IC50) between peptide and majo...
Humans Machine Learning Amino Acids Datasets as Topic Antigens Genome
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A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.

Journal of diabetes science and technology Mar 1, 2018
BACKGROUND: In type 1 diabetes (T1D) therapy, the calculation of the meal insulin bolus is performed according to a standard formula (SF) exploiting carbohydrate intake, carbohydrate-to-insulin ratio, correction factor, insulin on board, and target g...
Datasets as Topic Hypoglycemic Agents Blood Glucose Self-Monitoring Blood Glucose Humans Insulin Neural Networks, Computer Diabetes Mellitus, Type 1
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Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

Epidemiology (Cambridge, Mass.) Mar 1, 2018
The use of retrospective health care claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing patient's health status-related information from claims datasets as surrogates or proxies for misme...
Machine Learning Algorithms Retrospective Studies United Kingdom Data Accuracy Propensity Score Datasets as Topic Empirical Research
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Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2018
We propose Segment Convolutional Neural Networks (Seg-CNNs) for classifying relations from clinical notes. Seg-CNNs use only word-embedding features without manual feature engineering. Unlike typical CNN models, relations between 2 concepts are ident...
Datasets as Topic Humans Machine Learning Neural Networks, Computer Electronic Health Records Natural Language Processing
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