Piper J. Jackson

Thompson Rivers University

H-index: 11

North America-Canada

About Piper J. Jackson

Piper J. Jackson, With an exceptional h-index of 11 and a recent h-index of 7 (since 2020), a distinguished researcher at Thompson Rivers University, specializes in the field of Computational Modelling, Data Science, Computational Social Science, Transdisciplinary Research, Software Development.

His recent articles reflect a diverse array of research interests and contributions to the field:

THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON CLINICAL DECISION MAKING: GERIATRIC REGISTERED NURSES’PERSPECTIVES

Immediate word recall in cognitive assessment can predict dementia using machine learning techniques

Dissecting interRAI Instrument Data Using Visual and Predictive Analytics.

ASSESSING THE IMPACT OF COVID-19 ON THE HEALTH AND WELLNESS OF THE LONG-TERM CARE WORKFORCE IN RURAL AND NORTHERN AREAS

Patient Involvement in a Scoping Review of Patient-Oriented Machine Learning Research.

Co-creating a shared language using a Wiki Page: Findings from the Patient-Oriented Predictive Modelling of Healthcare Utilization Project.

Predicting Home Care Use After Assessment Using Multiple Machine Learning Methods

How do teams of novice modelers choose an approach? an iterated, repeated experiment in a first-year modeling course

Piper J. Jackson Information

University	Thompson Rivers University
Position	AGE-WELL NCE
Citations(all)	728
Citations(since 2020)	437
Cited By	478
hIndex(all)	11
hIndex(since 2020)	7
i10Index(all)	12
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Thompson Rivers University
Google Scholar	View Google Scholar Profile

Piper J. Jackson Skills & Research Interests

Computational Modelling

Data Science

Computational Social Science

Transdisciplinary Research

Software Development

Top articles of Piper J. Jackson

Title	Journal	Author(s)	Publication Date
THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON CLINICAL DECISION MAKING: GERIATRIC REGISTERED NURSES’PERSPECTIVES	Innovation in Aging	Shannon Freeman Mary Henderson-Betkus Leanne Currie Davina Banner Piper Jackson	2023/12
Immediate word recall in cognitive assessment can predict dementia using machine learning techniques	Alzheimer's Research & Therapy	Michael Adebisi Fayemiwo Toluwase Ayobami Olowookere Oluwabunmi Omobolanle Olaniyan Theresa Omolayo Ojewumi Idowu Sunday Oyetade ...	2023/6/15
Dissecting interRAI Instrument Data Using Visual and Predictive Analytics.		Waqar Haque Shannon Freeman Piper J Jackson	2023
ASSESSING THE IMPACT OF COVID-19 ON THE HEALTH AND WELLNESS OF THE LONG-TERM CARE WORKFORCE IN RURAL AND NORTHERN AREAS	Innovation in Aging	Shannon Freeman Davina Banner Hui Jun Chew Tammy Klassen-Ross Piper Jackson	2022/11
Patient Involvement in a Scoping Review of Patient-Oriented Machine Learning Research.		Shannon Freeman PIper Jackson Alanna Koopmans Michael Fayemiwo Grace Kramer ...	2022/4/2
Co-creating a shared language using a Wiki Page: Findings from the Patient-Oriented Predictive Modelling of Healthcare Utilization Project.	International Journal of Integrated Care (IJIC)	Shannon Freeman PIper Jackson Alanna Koopmans S Karl Zanon Grace Kramer ...	2022/4/2
Predicting Home Care Use After Assessment Using Multiple Machine Learning Methods		Robin Teotia Shannon Freeman Piper Jackson	2021/10/27
How do teams of novice modelers choose an approach? an iterated, repeated experiment in a first-year modeling course		Philippe J Giabbanelli Piper J Jackson	2021/6/9
Design tools: Transforming ideas into products	Knowledge, Innovation, and Impact: A Guide for the Engaged Health Researcher	Piper J Jackson Amy S Hwang	2021
Exploring how persons with dementia and care partners collaboratively appropriate information and communication technologies	ACM Transactions on Computer-Human Interaction (TOCHI)	Amy S Hwang Piper Jackson Andrew Sixsmith Louise Nygård Arlene Astell ...	2020/11/24