AIMC Topic:
Databases, Factual
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Trends in Robotic-Assisted Coronary Artery Bypass Grafts: A Study of The Society of Thoracic Surgeons Adult Cardiac Surgery Database, 2006 to 2012.
The Annals of thoracic surgery
Mar 24, 2016
BACKGROUND: Robotic technology is one of the most recent technological changes in coronary artery bypass graft (CABG) operations. The current analysis was conducted to identify trends in the use and outcomes of robotic-assisted CABG (RA-CABG).
Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov.
Journal of the American Medical Informatics Association : JAMIA
Mar 24, 2016
OBJECTIVE: Clinical trials investigating drugs that target specific genetic alterations in tumors are important for promoting personalized cancer therapy. The goal of this project is to create a knowledge base of cancer treatment trials with annotati...
Linking rare and common disease: mapping clinical disease-phenotypes to ontologies in therapeutic target validation.
Journal of biomedical semantics
Mar 23, 2016
BACKGROUND: The Centre for Therapeutic Target Validation (CTTV - https://www.targetvalidation.org/) was established to generate therapeutic target evidence from genome-scale experiments and analyses. CTTV aims to support the validity of therapeutic t...
An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE.
IEEE/ACM transactions on computational biology and bioinformatics
Mar 16, 2016
The identification of duplicated and plagiarized passages of text has become an increasingly active area of research. In this paper, we investigate methods for plagiarism detection that aim to identify potential sources of plagiarism from MEDLINE, pa...
Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.
Journal of clinical epidemiology
Mar 7, 2016
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records.
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
IEEE transactions on medical imaging
Mar 7, 2016
Robust and fast solutions for anatomical object detection and segmentation support the entire clinical workflow from diagnosis, patient stratification, therapy planning, intervention and follow-up. Current state-of-the-art techniques for parsing volu...
Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition.
IEEE transactions on pattern analysis and machine intelligence
Mar 2, 2016
This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint human action grouping and recognition. Specifically, we formulate the objective function into the group-wise least square loss regularized by low rank and spa...
Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
Journal of medical systems
Feb 27, 2016
In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in diagnosis of heart arrhythmia. Discrete wavelet transform (DWT) is used to decompose ECG signals into different successive frequency bands. A set of ...
A new Growing Neural Gas for clustering data streams.
Neural networks : the official journal of the International Neural Network Society
Feb 26, 2016
Clustering data streams is becoming the most efficient way to cluster a massive dataset. This task requires a process capable of partitioning observations continuously with restrictions of memory and time. In this paper we present a new algorithm, ca...
A Machine Learning Framework for Plan Payment Risk Adjustment.
Health services research
Feb 19, 2016
OBJECTIVE: To introduce cross-validation and a nonparametric machine learning framework for plan payment risk adjustment and then assess whether they have the potential to improve risk adjustment.
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