5.25 DATA-DRIVEN CLUSTERING OF PSYCHIATRIC AND BEHAVIORAL SYMPTOMS USING A WEB-BASED SYMPTOM CHECKER

2016 ◽  
Vol 55 (10) ◽  
pp. S191-S192
Author(s):  
Zahra Kadkhodaie ◽  
Aki Nikolaidis ◽  
Lindsay Alexander ◽  
Curt White ◽  
Barbara Clement ◽  
...  
Keyword(s):  
Data Driven ◽  
Behavioral Symptoms ◽  
Web Based

scholarly journals An open web‐based module developed to advance data‐driven hydrologic process learning

2021 ◽  
Author(s):  
Belize Lane ◽  
Irene Garousi‐Nejad ◽  
Melissa A. Gallagher ◽  
David G. Tarboton ◽  
Emad Habib
Keyword(s):  
Data Driven ◽  
Web Based ◽  
Hydrologic Process ◽  
Process Learning

scholarly journals Moving Online: A Pilot Clinical Trial of the Changing Talk Online (CHATO) Communication Education for Nursing Home Staff

2020 ◽  
Author(s):  
Kristine N Williams ◽  
Carissa K Coleman ◽  
Yelena Perkhounkova ◽  
Tim Beachy ◽  
Maria Hein ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Nursing Home ◽  
Training Program ◽  
Effective Means ◽  
Posttest Score ◽  
Behavioral Symptoms ◽  
Wait List ◽  
Web Based ◽  
Wait List Control ◽  
Design And Methods

Abstract Background and Objectives Staff-resident communication is a critical part of nursing home (NH) care. Reducing elderspeak and increasing person-centered communication has been shown to reduce behavioral symptoms experienced by persons living with dementia. An online version of a successful classroom-based communication-training program that reduced staff elderspeak and resident behavioral symptoms was evaluated. The objective of this study was to establish feasibility and determine the preliminary effects of the online program in preparation for a national pragmatic clinical trial. Research Design and Methods Seven NHs were randomized to immediate intervention or wait-list control conditions. The NHs were provided with the web-based training program that staff individually accessed. Primary outcomes were knowledge scores and communication ratings of a video-recorded interaction, using pre- to post-training comparisons. Results Knowledge increased from a mean pretest score of 61.9% (SD=20.0) to a mean posttest score of 84.6% (SD=13.5) for the combined group. Knowledge significantly improved between Time 1 and Time 2 for the immediate intervention participants (p<.001), but not for the wait-list control participants (p=.091), and this difference was statistically significant (p<.001). Ability to recognize ineffective, inappropriate, non-person-centered, and elderspeak communication improved after training (p<.001). The magnitude of improvement in communication recognition was comparable to that of the original classroom format. Discussion and Implications The adapted communication intervention was feasible and improved knowledge and communication. Online instruction can improve access to quality education and is an effective means to improve dementia care by overcoming barriers to in-person training.

scholarly journals Design of a joint research data platform: A use case for severity assessment

2019 ◽  
Vol 54 (1) ◽  
pp. 33-39
Author(s):  
Steven R Talbot ◽  
Stefan Bruch ◽  
Fabian Kießling ◽  
Michael Marschollek ◽  
Branko Jandric ◽  
...  
Keyword(s):  
Human Factor ◽  
Data Driven ◽  
Use Case ◽  
Severity Assessment ◽  
Joint Research ◽  
Web Based ◽  
Specific Content ◽  
Data Platform ◽  
Basic Understanding ◽  
Minimal Effort

Severity assessment in animal models is a data-driven process. We therefore present a use case for building a repository for interlaboratory collaboration with the potential of uploading specific content, making group announcements and internal prepublication discussions. We clearly show that it is possible to offer such a structure with minimal effort and a basic understanding of web-based services, also taking into account the human factor in individual data collection. The FOR2591 Online Repository serves as a blueprint for other groups, so that one day not only will data sharing among consortium members be improved but the transition from the private to the persistent domain will also be easier.

scholarly journals Validation of the Learning Machine

10.28945/2869 ◽  
2005 ◽  
Author(s):  
Jo-Mae Maris
Keyword(s):  
Data Driven ◽  
Course Development ◽  
Web Based ◽  
Interactive Instruction ◽  
Education Philosophy ◽  
Behavioral Education ◽  
Learning Machine

As Web-based courses become more prevalent, tools need to be created that go beyond electronic page turning. The tools should allow for easy development of Web-based interactive instruction. The Learning Machine is data-driven tutorial software that is based on behavioral education philosophy. Development and presentation use the same database, but separate scripts, so that changes to content do not require changes to the presentation script. This decoupling enables content providers to concentrate on course development. This paper validates the effectiveness of Learning Machine tutorials as compared with classroom lectures. The experiment conducted to validate the Learning Machine tutorials showed that the tutorials were at least as good as classroom lectures.

Agent-based Collaboration Between Distributed Web Applications: Case Study on 'Collaborative Design for X' Using CyberCO

2002 ◽  
Vol 10 (4) ◽  
pp. 279-290
Author(s):  
G Q Huang ◽  
K L Mak
Keyword(s):  
Collaborative Design ◽  
Web Applications ◽  
Workflow Management ◽  
Data Driven ◽  
Prototype System ◽  
Engineering Systems ◽  
Web Based ◽  
Agent Based ◽  
Systems Collaboration

This paper presents a case study on the collaboration between a set of distributed web applications developed and deployed for carrying out a 'Design for Assembly' analysis. The case study is conducted using a web-based prototype system called CyberCO. The system is based on a theoretical framework which has been formed through an innovative combination of a number of concepts such as agents and workflows. Unlike previous attempts in computer supported concurrent engineering systems, collaboration in this framework between distributed web applications is achieved through workflows between their representative agents. The flows of data between agents are guided by the associated constraints. The flows of controls are somewhat data-driven in the sense that agents start and stop themselves whenever the predefined conditions are satisfied. The data-driven flows of controls are different from those widely used in workflow management where flows of controls are determined by the precedence relationships. The key purpose of this case study demonstration is to extend our knowledge and insights into this emerging field where increasing number of web applications are developed and deployed for collaborative product development and realization projects.

scholarly journals CAiRE: An End-to-End Empathetic Chatbot

2020 ◽  
Vol 34 (09) ◽  
pp. 13622-13623
Author(s):  
Zhaojiang Lin ◽  
Peng Xu ◽  
Genta Indra Winata ◽  
Farhad Bin Siddique ◽  
Zihan Liu ◽  
...  
Keyword(s):  
User Interface ◽  
Active Learning ◽  
Transfer Learning ◽  
User Feedback ◽  
Data Driven ◽  
Dialogue Systems ◽  
Generation Task ◽  
Web Based ◽  
End To End ◽  
Negative Training

We present CAiRE, an end-to-end generative empathetic chatbot designed to recognize user emotions and respond in an empathetic manner. Our system adapts the Generative Pre-trained Transformer (GPT) to empathetic response generation task via transfer learning. CAiRE is built primarily to focus on empathy integration in fully data-driven generative dialogue systems. We create a web-based user interface which allows multiple users to asynchronously chat with CAiRE. CAiRE also collects user feedback and continues to improve its response quality by discarding undesirable generations via active learning and negative training.

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