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Sepideh (Sepi) Jahandideh
Sepideh (Sepi) Jahandideh
Griffith University & Deakin University
Verified email at griffithuni.edu.au
Title
Cited by
Cited by
Year
The use of artificial neural networks and multiple linear regression to predict rate of medical waste generation
S Jahandideh, S Jahandideh, EB Asadabadi, M Askarian, MM Movahedi, ...
Waste Management 29 (11), 2874-2879, 2009
1052009
The impact of special wards nursing spiritual well-being upon patients’ spiritual care
SJ A Zare
Iranian Journal of Nursing Research 9 (34), 30-38, 2014
612014
Nurses' Spiritual Well-Being and Patients' Spiritual Care in Iran
MJ S Jahandideh, A Zare, E Kendall
COJ Nurse Healthcare 1 (3), 1-5, 2018
372018
Prediction of road traffic death rate using neural networks optimised by genetic algorithm
SA Jafari, S Jahandideh, M Jahandideh, EB Asadabadi
International Journal of Injury Control and Safety Promotion 22 (2), 153-157, 2015
222015
The comparison of methods for measuring quality of hospital services by using neural networks: A case study in Iran (2012)
S Jahandideh, S Asefzadeh, M Jahandideh, EB Asadabadi, A Jafari
International Journal of Healthcare Management 6 (1), 45-50, 2013
132013
The process of patient engagement in cardiac rehabilitation: A model-centric systematic review
RJ S Jahandideh, E Kendall, S Low-Choy, K Donald
Behaviour Change 35 (4), 185-202, 2018
102018
Dental services marketing: A case of dental clinics in Iran
EB S Asefzadeh, S Jahandideh
International Journal of Healthcare Management 5 (1), 12-18, 2012
82012
Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review
S Jahandideh, G Ozavci, BW Sahle, AZ Kouzani, F Magrabi, T Bucknall
International Journal of Medical Informatics 175, 105084, 2023
72023
Relationship between human development index and the number of scientific articles of countries
AM S Asefzade, S Jahandideh
JQUMS, 2013
5*2013
The Process of Patient Engagement in Outpatient Cardiac Rehabilitation Programs
EB S Jahandideh, E Kendall,S Low-Choy, K Donald, R Jayasinghe
Behaviour Change 36 (4), 233-251, 2019
42019
Individuals’ Intention to Engage in Outpatient Cardiac Rehabilitation Programs: Prediction Based on an Enhanced Model
S Jahandideh, M Jahandideh, E Barzegari
Journal of Clinical Psychology in Medical Settings, 1-10, 2021
12021
Using machine learning models to predict falls in hospitalised adults
S Jahandideh, AF Hutchinson, TK Bucknall, J Considine, A Driscoll, ...
International Journal of Medical Informatics 187, 105436, 2024
2024
The effect of pressure injury prevention care bundles on pressure injuries in hospital patients: A complex intervention systematic review and Meta-analysis
W Chaboyer, S Latimer, U Priyadarshani, E Harbeck, D Patton, J Sim, ...
International Journal of Nursing Studies, 104768, 2024
2024
Pathways to mental wellbeing report, April 2024
https://www.qmhc.qld.gov.au/sites/default/files …, 2024
2024
Comparing the effect of the Model of Therapeutic Engagement in cardiac rehabilitation on the sense of coherence and adherence to treatment: a randomized clinical trial
F Pakrad, S Jahandideh, K Oshvandi, L Majidi, S Khazaei, B Pakrad
Disability and Rehabilitation, 1-10, 2023
2023
The Impact of Socio-environmental Barriers on the Process of Engagement in Cardiac Rehabilitation Programs
RJEB S Jahandideh, E Kendall, S Low-Choy, K Donald
Behaviour Change, 2020
2020
Understanding individual engagement in outpatient cardiac rehabilitation programs based on the Model of Therapeutic Engagement
KDRJ S Jahandideh, E Kendall, S Low-Choy
Griffith University, 2019
2019
Prediction models of patient engagement in cardiac rehabilitation programs.
KDRJ S Jahandideh, E Kendall, S Low-Choy
International Journal of Advances in Science Engineering and Technology 6 (4 …, 2019
2019
The impact of socio-environmental barriers on the process of engagement in cardiac rehabilitation programs
RJ S Jahandideh, E Kendall, S Low-Choy, K Donald
The 2019 Translational Research Symposium, Two-Minute Tease and Poster …, 2019
2019
Chapter Five Prediction Models for Patient Engagement in Cardiac Rehabilitation Programs
S Jahandideh
Understanding individual engagement in outpatient cardiac rehabilitation …, 2018
2018
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Articles 1–20