MINING THE WEB FOR MEDICAL HYPOTHESES - A Proof-of-Concept System

2011 ◽  
Keyword(s):  
Proof Of Concept ◽  
Concept System ◽  
The Web

scholarly journals Composing Questions through Conceptual Authoring

2007 ◽  
Vol 33 (1) ◽  
pp. 105-133 ◽  
Author(s):  
Catalina Hallett ◽  
Donia Scott ◽  
Richard Power
Keyword(s):  
Natural Language ◽  
Question Answering ◽  
Free Text ◽  
Risk Averse ◽  
Proof Of Concept ◽  
Concept System ◽  
Complex Queries ◽  
Extensive Training ◽  
Question Answering Systems ◽  
Medical Histories

This article describes a method for composing fluent and complex natural language questions, while avoiding the standard pitfalls of free text queries. The method, based on Conceptual Authoring, is targeted at question-answering systems where reliability and transparency are critical, and where users cannot be expected to undergo extensive training in question composition. This scenario is found in most corporate domains, especially in applications that are risk-averse. We present a proof-of-concept system we have developed: a question-answering interface to a large repository of medical histories in the area of cancer. We show that the method allows users to successfully and reliably compose complex queries with minimal training.

scholarly journals Emotion Recognition in Horses with Convolutional Neural Networks

2021 ◽  
Vol 13 (10) ◽  
pp. 250
Author(s):  
Luis A. Corujo ◽  
Emily Kieson ◽  
Timo Schloesser ◽  
Peter A. Gloor
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Intelligent Systems ◽  
High Accuracy ◽  
Eye Position ◽  
Proof Of Concept ◽  
Concept System ◽  
Validation Set ◽  
Fast Region ◽  
Head Neck

Creating intelligent systems capable of recognizing emotions is a difficult task, especially when looking at emotions in animals. This paper describes the process of designing a “proof of concept” system to recognize emotions in horses. This system is formed by two elements, a detector and a model. The detector is a fast region-based convolutional neural network that detects horses in an image. The model is a convolutional neural network that predicts the emotions of those horses. These two elements were trained with multiple images of horses until they achieved high accuracy in their tasks. In total, 400 images of horses were collected and labeled to train both the detector and the model while 40 were used to test the system. Once the two components were validated, they were combined into a testable system that would detect equine emotions based on established behavioral ethograms indicating emotional affect through the head, neck, ear, muzzle, and eye position. The system showed an accuracy of 80% on the validation set and 65% on the test set, demonstrating that it is possible to predict emotions in animals using autonomous intelligent systems. Such a system has multiple applications including further studies in the growing field of animal emotions as well as in the veterinary field to determine the physical welfare of horses or other livestock.

Designing Usable Security Feedback for Web-Filtering Systems

2010 ◽  
pp. 230-248 ◽  
Author(s):  
Ricardo Mendoza-González ◽  
Jaime Muñoz Arteaga ◽  
Francisco Álvarez Rodríguez
Keyword(s):  
User Interface ◽  
Interface Design ◽  
Design Patterns ◽  
User Interface Design ◽  
Proof Of Concept ◽  
Usable Security ◽  
Preliminary Study ◽  
The Web

Currently, many powerful applications designed to combat social deviations are available, like the web-filtering systems, which measure the content of a website before submitting it to the user, notifying whether the content of the website presents (or not) information related to pornography, violence, racism, among others, and prompting the user to not accessing the site, or even blocking access to the website. Nevertheless, frequently the feedback of these systems is not well-designed, which may confuse users and lead to mistakes, disappointments, and misunderstandings. In order to reduce this concern, a method is provided to developers with guidance in designing usable security notifications to be incorporated in web-filtering systems. The method is structured through a library of user interface design patterns which integrates essential concepts of security and usability. The authors show the effectiveness of the patterns by using an illustrative example as a proof-of-concept together with a preliminary study.

Towards interoperable recordkeeping systems

2017 ◽  
Vol 27 (2) ◽  
pp. 125-148 ◽  
Author(s):  
Gregory Rolan
Keyword(s):  
Design Methodology ◽  
Conceptual Models ◽  
Design Science ◽  
Proof Of Concept ◽  
Content Type ◽  
Meta Model ◽  
Concept System ◽  
Reflective Design ◽  
Practical Implications ◽  
Model Approach

Purpose The purpose of this paper is to introduce an infrastructural approach to metadata modelling and a generalised meta-model for recordkeeping metadata. This meta-model is an attempt to support interoperability between disparate systems, and particularly, between sets of ostensibly incommensurate record documentation. Design/methodology/approach The investigation used a reflective design-science investigation comprising interviews adaptive literature review, creation of conceptual models and the design and instantiation of a proof-of-concept system. Findings The investigation confirms that recordkeeping interoperability between disparate ontologies is achievable through a meta-model approach. In particular, the meta-model carefully defines relationships between entities with specific semantics that enable the development of interoperable domain schemas. Practical implications A meta-model for recordkeeping metadata facilitates the development of recordkeeping systems that possess interoperability-by-design. Social implications Recordkeeping systems that conform to the meta-model can, therefore, transcend the immediate transactional context and support participatory recordkeeping in terms of a plurality of stakeholder world views and agency in records. Originality/value This paper is one of the few reporting design-science approaches to recordkeeping informatics and one that has used a meta-model approach for recordkeeping metadata design. In contrast to most empirically determined metadata schemas, the top-down design approach has produced a schema from a wide variety of ontological sources.

Real-time and location-based hand hygiene monitoring and notification: proof-of-concept system and experimentation

2015 ◽  
Vol 19 (3-4) ◽  
pp. 667-688 ◽  
Author(s):  
Malak Baslyman ◽  
Raoufeh Rezaee ◽  
Daniel Amyot ◽  
Alain Mouttham ◽  
Rana Chreyh ◽  
...  
Keyword(s):  
Hand Hygiene ◽  
Real Time ◽  
Proof Of Concept ◽  
Concept System

An update on the DSTO advanced phased array - proof of concept system

2008 ◽  
Author(s):  
Andrew Shaw ◽  
Scott Capon ◽  
Jayasanka Piyaratna ◽  
Tony Hall ◽  
Ashoka Halappa ◽  
...  
Keyword(s):  
Phased Array ◽  
Proof Of Concept ◽  
Concept System

scholarly journals On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse

2019 ◽  
Vol 33 ◽  
pp. 6957-6964
Author(s):  
Vasanth Sarathy ◽  
Matthias Scheutz
Keyword(s):  
General Class ◽  
State Of The Art ◽  
Contextual Information ◽  
Anaphora Resolution ◽  
Proof Of Concept ◽  
Language Understanding ◽  
Concept System ◽  
Knowledge Based ◽  
Current State ◽  
Reasoning Systems

Anaphora resolution is a central problem in natural language understanding. We study a subclass of this problem involving object pronouns when they are used in simple imperative sentences (e.g., “pick it up.”). Specifically, we address cases where situational and contextual information is required to interpret these pronouns. Current state-of-the art statisticallydriven coreference systems and knowledge-based reasoning systems are insufficient to address these cases. In this paper, we introduce, with examples, a general class of situated anaphora resolution problems, propose a proof-of-concept system for disambiguating situated pronouns, and discuss some general types of reasoning that might be needed.

scholarly journals Project Reporting Management System with AI based Assistive Features for Text Summarization

2021 ◽  
Vol 11 (1) ◽  
pp. 21-27
Author(s):  
Jin Boon Benjamin Tan ◽  
Quan Chen ◽  
Chai Kiat Yeo
Keyword(s):  
Language Processing ◽  
Management System ◽  
Text Summarization ◽  
Research Centre ◽  
Proof Of Concept ◽  
Executive Summary ◽  
Concept System ◽  
Online Submission ◽  
Progress Reporting ◽  
The Individual

This paper details a proof-of-concept system called Project Reporting Management System (PRMS) to manage the project reporting process in a typical research centre where the process can be manual for many centres. In fact, it is general enough to be scaled up and deployed for a large department or scaled down for a smaller setup in any organization which needs a simple and efficient project progress reporting system but does not entail the kind of complexity and cost of commercial project management systems. Using a research centre scenario, the progress of the individual projects has to be tracked through the periodic submission of progress reports by the Principal Investigator (PI) of the project. The centre will need to consolidate these individual reports manually into a consolidated report and an executive summary for higher management. PRMS automates the tracking of individual projects and reporting deadlines, sends reminders and allows online submission of reports by the PIs. PRMS also incorporates assistive and automated features exploiting Machine Learning (ML) and Natural Language Processing (NLP) techniques to generate the consolidated report and rank sentences of verbose report for assistive text summarization to facilitate the manual process of producing an executive summary.

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