AIMC Topic: Machine Learning

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Positive reactions to pairs of allergens associated with polysensitization: analysis of IVDK data with machine-learning techniques.

Contact dermatitis Apr 1, 2017
Perfume Sulfhydryl Compounds Head Benzothiazoles Nitriles Aldehydes Cyclohexenes Adult Male Middle Aged Allergens Humans Machine Learning Female Aged Dermatitis, Allergic Contact Leg Dermatoses Facial Dermatoses Patch Tests Foot Dermatoses Hand Dermatoses Biostatistics Torso Ethylene Glycols
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Animal Breeding learning from machine learning.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie Apr 1, 2017
Machine Learning Animals Models, Biological Breeding Dairying Selection, Genetic
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Deep learning for polyp recognition in wireless capsule endoscopy images.

Medical physics Apr 1, 2017
PURPOSE: Wireless capsule endoscopy (WCE) enables physicians to examine the digestive tract without any surgical operations, at the cost of a large volume of images to be analyzed. In the computer-aided diagnosis of WCE images, the main challenge ari...
Polyps Machine Learning Image Processing, Computer-Assisted Capsule Endoscopy
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Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation Apr 1, 2017
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...
Risk Assessment Adolescent Time Factors ROC Curve Adult Male Middle Aged Liver Transplantation Patient Selection Treatment Failure Donor Selection Tissue Donors Graft Survival Predictive Value of Tests Area Under Curve Decision Support Techniques Databases, Factual Female Reproducibility of Results Risk Factors Aged Young Adult Humans Victoria Machine Learning Algorithms
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Machine learning of swimming data via wisdom of crowd and regression analysis.

Mathematical biosciences and engineering : MBE Apr 1, 2017
Every performance, in an officially sanctioned meet, by a registered USA swimmer is recorded into an online database with times dating back to 1980. For the first time, statistical analysis and machine learning methods are systematically applied to 4...
Models, Theoretical Age Factors Regression Analysis Databases, Factual Sex Factors Humans Computer Simulation Athletic Performance Machine Learning Female Male Swimming Physical Education and Training
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A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2017
OBJECTIVE: The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current clinical natural language processing (NLP) systems' capability to handle abbreviations in clin...
Natural Language Processing Patient Discharge Abbreviations as Topic Humans Machine Learning Electronic Health Records
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Congestive heart failure information extraction framework for automated treatment performance measures assessment.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2017
OBJECTIVE: This paper describes a new congestive heart failure (CHF) treatment performance measure information extraction system - CHIEF - developed as part of the Automated Data Acquisition for Heart Failure project, a Veterans Health Administration...
Humans Heart Failure Information Storage and Retrieval Hospitals, Veterans Cardiotonic Agents Machine Learning Electronic Health Records Ventricular Function, Left Natural Language Processing
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[A machine learning model using gut microbiome data for predicting changes of trimethylamine-N-oxide in healthy volunteers after choline consumption].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2017
OBJECTIVE: To establish a machine learning model based on gut microbiota for predicting the level of trimethylamine N-oxide (TMAO) metabolism in vivo after choline intake to provide guidance of individualized precision diet and evidence for screening...
Gastrointestinal Microbiome Humans Healthy Volunteers RNA, Ribosomal, 16S Machine Learning Choline Algorithms Oxides Methylamines Eggs
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Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.

Bioinformatics (Oxford, England) Mar 15, 2017
MOTIVATION: Protein subcellular localization prediction has been an important research topic in computational biology over the last decade. Various automatic methods have been proposed to predict locations for large scale protein datasets, where stat...
Humans Computational Biology Protein Transport Machine Learning Gene Ontology Software Proteins Cell Compartmentation Algorithms Models, Biological
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The Diagnostic Imagination in Radiology: Part 2.

Radiology management Mar 1, 2017
Developing algorithms for the improve- ment of diagnostic care leverages tech- nologies and techniques developed across industries that are exponentially being improved, developed, and tested. Machine learning means extracting patterns not only from ...
Diagnosis, Differential Diagnostic Imaging Humans Image Interpretation, Computer-Assisted Machine Learning Algorithms Lung Neoplasms
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