Results 31 to 40 of about 2,629 (193)

Comparative Analysis of Machine Learning Algorithms on IVR data

EAI Endorsed Transactions on Energy Web, 2018
We aim to classify IVR data (Interactive Voice Response) and provide a detailed summary of the methods and techniques we employed to create a classifier model of reasonably high accuracy.
Aswin. T.S, Himanshu Batra, Mathangi Ramachandran   +2 more
doaj   +1 more source

Evaluation of Interactive Voice Response (IVR) and postal survey in follow-up of children and adolescents discharged from psychiatric outpatient treatment: a randomized controlled trial. [PDF]

Springerplus, 2014
Systematic evaluation of child and adolescent psychiatric outpatient treatment is important but time-consuming. The aim of this paper was to study whether Interactive Voice Response (IVR) is a more effective method than a questionnaire sent by post when ...
Andersson C, Danielsson S, Silfverberg-Dymling G, Löndahl G, Johansson BA.   +4 more
europepmc   +2 more sources

A randomized trial to determine the impact on compliance of a psychophysical peripheral cue based on the Elaboration Likelihood Model [PDF]

, 2008
Objective: Non-compliance in clinical studies is a significant issue, but causes remain unclear. Utilizing the Elaboration Likelihood Model of persuasion, this study assessed the psychophysical peripheral cue ‘Interactive Voice Response System (IVRS ...
Stewart Mireylees, Mireylees, SE, Damian McEntegart, Antoinette Minniti, Minniti, A, Horton, RJ, Rachael Jane Horton, McEntegart, D   +7 more
core   +1 more source

A randomized controlled trial to test the effectiveness of two technology-enhanced diabetes prevention programs in primary care: The DiaBEAT-it study

Frontiers in Public Health, 2023
ObjectiveTo evaluate the effectiveness of two technology-enhanced interventions for diabetes prevention among adults at risk for developing diabetes in a primary care setting.MethodsThe DiaBEAT-it study employed a hybrid 2-group preference (Choice) and 3-
Fabio A. Almeida, Wen You, Fabiana A. Brito, Thais F. Alves, Cody Goessl, Sarah S. Wall, Richard W. Seidel, Brenda M. Davy, Mark H. Greenawald, Jennie L. Hill, Paul A. Estabrooks   +10 more
doaj   +1 more source

In Search of the Optimal Mode for Mobile Phone Surveys in Developing Countries. A Comparison of IVR, SMS, and CATI in Nigeria

Survey Research Methods, 2019
Mobile phone surveys are increasingly prevalent in low- and middle-income countries. The main modes include computer-assisted telephone interviewing (CATI), interactive voice response (IVR), and short message service (SMS, or text messaging).
Charles Q Lau, Alexandra Cronberg, Leenisha Marks, Ashley Amaya   +3 more
doaj   +1 more source

Project design and technology trade-offs for implementing a large-scale sexual and reproductive health mHealth intervention: Lessons from Sierra Leone

Frontiers in Digital Health, 2023
BackgroundThe Coronavirus 2019 (COVID-19) pandemic threatened decades of progress in sexual and reproductive health (SRH) and gender-based violence as attendance at health facilities plummeted and service uptake dwindled.
Emeka Chukwu, Sonia Gilroy, Kim Eva Dickson   +2 more
doaj   +1 more source

Quality Management in the Design of TLC Call Centres

International Journal of Engineering Business Management, 2013
Call centres rely heavily on the self-service paradigm through the use of an automated IVR (Interactive Voice Response) system. The service time delivered by the IVR is a major component of the overall QoS (Quality of Service) delivered by the call ...
Andrea Fronzetti Colladon, Maurizio Naldi, Massimiliano M. Schiraldi   +2 more
doaj   +1 more source

Comparison of an interactive voice response system and smartphone application in the identification of gout flares

Arthritis Research & Therapy, 2019
Objective To examine the feasibility, preference, and satisfaction of an interactive voice response (IVR) system versus a customized smartphone application (StudyBuddy) to capture gout flares Methods In this 24-week prospective, randomized, crossover ...
Nada Elmagboul, Brian W. Coburn, Jeffrey Foster, Amy Mudano, Joshua Melnick, Debra Bergman, Shuo Yang, David Redden, Lang Chen, Cooper Filby, Jeffrey R. Curtis, Ted R. Mikuls, Kenneth G. Saag   +12 more
doaj   +1 more source

An Interactive Voice Response System to Increase Physical Activity and Prevent Cancer in the Rural Alabama Black Belt: Design and Usability Study

JMIR Human Factors, 2022
BackgroundIncreased physical activity (PA) levels are associated with reduced risk and improved survival for several cancers; however, most Americans engage in less than the recommended levels of PA.
Mohanraj Thirumalai, Nashira Brown, Soumya Niranjan, Sh'Nese Townsend, Mary Anne Powell, Whitney Neal, Erica Schleicher, Venkatadri Raparla, Robert Oster, Wendy Demark-Wahnefried, Dori Pekmezi   +10 more
doaj   +1 more source

Flow diagram of Interactive Voice Response (IVR).

, 2018
Flow diagram of Interactive Voice Response (IVR).
Nasir Rahman (3430115), Sehar Rahim Ali Gillani (6107162), Mehreen Saif (6107168), Saleem Sayani (3430136), Shahrukh Sharif (3430127), Kashfa Farhat (3430085), Aliya Amin Muhammad (6107171), Syedah Saira Bokhari (6107174), Ayeesha Kamran Kamal (6107159), Maryam Zulfiqar (6107165), Ambreen Gowani (3430091), Mohammad Mustafa (3528131), Wardah Khalid (3430130), Abdul Muqeet (3430100), Fabiha Zaidi (3430088), Salim S. Virani (6107183), Anum Jamil (3430124), Javed Tai (6107177), Fateh Ali Tipoo Sultan (6107180)   +18 more
core   +1 more source