Prescriptions

Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment.

Solving problems in medical image processing is either generic (being applicable to many problems) or specific (optimized for a certain task). For example, bone age assessment (BAA) on hand radiographs is a frequent but cumbersome task for radiologists. For this problem, many specific solutions have been proposed. However, general-purpose feature descriptors are used in many computer vision applic...

Do infants perceive the social robot Keepon as a communicative partner?

This study investigates if infants perceive an unfamiliar agent, such as the robot Keepon, as a social agent after observing an interaction between the robot and a human adult. 23 infants, aged 9-17 month, were exposed, in a first phase, to either a contingent interaction between the active robot and an active human adult, or to an interaction between an active human adult and the non-active robot...

Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.

Accurately predicting protein-protein interaction sites (PPIs) is currently a hot topic because it has been demonstrated to be very useful for underst...

Making the cut: improved ranking and selection for large-scale inference.

Identifying leading measurement units from a large collection is a common inference task in various domains of large-scale inference. Testing approach...

Close Human Interaction Recognition Using Patch-Aware Models.

This paper addresses the problem of recognizing human interactions with close physical contact from videos. Due to ambiguities in feature-to-person as...

Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development.

We examined a large body of research study documents (protocols) to identify mentions of drug concepts and established base concepts and roles needed ...

Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.

The National Drug File - Reference Terminology (NDF-RT) is a large and complex drug terminology. NDF-RT provides important information about clinical ...

Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach.

With regular expressions and manual review, 18,342 FDA-approved drug product labels were processed to determine if the five standard pregnancy drug ri...

Pharmacovigilance through the development of text mining and natural language processing techniques.

Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information.

We present an extension of a neurobiologically inspired robotics model, termed CoRLEGO (Choice reaching with a LEGO arm robot). CoRLEGO models experim...

Predicting drug side effects by multi-label learning and ensemble learning.

BACKGROUND: Predicting drug side effects is an important topic in the drug discovery. Although several machine learning methods have been proposed to ...

Promoting Interactions Between Humans and Robots Using Robotic Emotional Behavior.

The objective of a socially assistive robot is to create a close and effective interaction with a human user for the purpose of giving assistance. In ...

DisPredict: A Predictor of Disordered Protein Using Optimized RBF Kernel.

Intrinsically disordered proteins or, regions perform important biological functions through their dynamic conformations during binding. Thus accurate...

Defective secretion of Prostaglandin F2α during development of idiopathic persistent corpus luteum in mares.

Five mares that developed idiopathic persistent corpus luteum (PCL) were compared with 5 mares with apparently normal interovulatory intervals (IOIs)....

Predicting Drug-Target Interactions via Within-Score and Between-Score.

Network inference and local classification models have been shown to be useful in predicting newly potential drug-target interactions (DTIs) for assis...

Impedance control in a wave-based teleoperator for rehabilitation motor therapies assisted by robots.

This paper presents an improved wave-based bilateral teleoperation scheme for rehabilitation therapies assisted by robot manipulators. The main featur...

Antimicrobial efficacy of the EndoVac system plus PDT against intracanal Candida albicans: an ex vivo study.

This study evaluated the ex vivoantimicrobial efficacy of the EndoVac system and the photodynamic therapy (PDT) associated with chemomechanical debrid...

METSP: a maximum-entropy classifier based text mining tool for transporter-substrate identification with semistructured text.

The substrates of a transporter are not only useful for inferring function of the transporter, but also important to discover compound-compound intera...

Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification.

Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities related to the detection, assessment, understanding a...

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ec...