AIMC Topic:
Databases, Factual
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tcTKB: an integrated cardiovascular toxicity knowledge base for targeted cancer drugs.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Targeted cancer drugs are often associated with unexpectedly high cardiovascular (CV) adverse events. Systematic approaches to studying CV events associated with targeted anticancer drugs have high potential for elucidating the complex pathways under...
Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Over the last few decades, machine learning and data mining have been increasingly used for clinical prediction in ICUs. However, there is still a huge gap in making full use of the time-series data generated from ICUs. Aiming at filling this gap, we...
Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
The National Drug File - Reference Terminology (NDF-RT) is a large and complex drug terminology. NDF-RT provides important information about clinical drugs, e.g., their chemical ingredients, mechanisms of action, dosage form and physiological effects...
Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-pred...
Causal Phenotype Discovery via Deep Networks.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
The rapid growth of digital health databases has attracted many researchers interested in using modern computational methods to discover and model patterns of health and illness in a research program known as computational phenotyping. Much of the wo...
SIM-ELM: Connecting the ELM model with similarity-function learning.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2015
This paper moves from the affinities between two well-known learning schemes that apply randomization in the training process, namely, Extreme Learning Machines (ELMs) and the learning framework using similarity functions. These paradigms share a com...
TWSVR: Regression via Twin Support Vector Machine.
Neural networks : the official journal of the International Neural Network Society
Nov 3, 2015
Taking motivation from Twin Support Vector Machine (TWSVM) formulation, Peng (2010) attempted to propose Twin Support Vector Regression (TSVR) where the regressor is obtained via solving a pair of quadratic programming problems (QPPs). In this paper ...
N3 and BNN: Two New Similarity Based Classification Methods in Comparison with Other Classifiers.
Journal of chemical information and modeling
Nov 2, 2015
Two novel classification methods, called N3 (N-nearest neighbors) and BNN (binned nearest neighbors), are proposed. Both methods are inspired by the principles of the K-nearest neighbors (KNN) method, being both based on object pairwise similarities....
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.
PLoS computational biology
Oct 29, 2015
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Robotic, laparoscopic and open surgery for gastric cancer compared on surgical, clinical and oncological outcomes: a multi-institutional chart review. A study protocol of the International study group on Minimally Invasive surgery for GASTRIc Cancer-IMIGASTRIC.
BMJ open
Oct 19, 2015
INTRODUCTION: Gastric cancer represents a great challenge for healthcare providers and requires a multidisciplinary treatment approach in which surgery plays a major role. Minimally invasive surgery has been progressively developed, first with the ad...
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