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BMC Geriatrics
|
January 25, 2024
Tensions between real-world practices and the digitalization paradigm for data-driven services in eldercare: observations from an ethnographic study in Sweden
Mikaela Hellstrand, Maksims Kornevs, Jayanth Raghothama, et al.
Scientific Reports
|
April 8, 2025
A dynamic nonlinear flow algorithm to model patient flow
Arsineh Boodaghian Asl, Jayanth Raghothama, Adam S Darwich, et al.
JMIR Human Factors
|
April 21, 2026
To Choose a Band-Aid"Children's Preferences for Participation in Health Care Situations: Q Methodology Study
Merja Hietanen, Maksims Kornevs, Catarina Nahlén Bose, et al.
Scandinavian Journal of Caring Sciences
|
November 26, 2025
A Systematic Review on Children's Participation in Healthcare From a Child's Perspective
Merja Hietanen, Catarina Nahlén Bose, Anna Stålberg, et al.
JMIR Human Factors
|
June 30, 2023
Investigating the Connections Between Delivery of Care, Reablement, Workload, and Organizational Factors in Home Care Services: Mixed Methods Study
Adam S Darwich, Anne-Marie Boström, Susanne Guidetti, et al.
Clinical and Translational Science
|
July 20, 2022
A novel analytical framework for risk stratification of real-world data using machine learning: A small cell lung cancer study
Luca Marzano, Adam S Darwich, Salomon Tendler, et al.
JMIR Cancer
|
April 10, 2026
Real-World Evidence of Treatment Outcomes in Small Cell Lung Cancer: A Bayesian Mixed Effects and Competitive Risk Approach
Luca Marzano, Asaf Dan, Adam S Darwich, et al.
Clinical and Translational Science
|
August 8, 2024
Exploring the discrepancies between clinical trials and real-world data: A small-cell lung cancer study
Luca Marzano, Adam S Darwich, Asaf Dan, et al.
Studies in Health Technology and Informatics
|
May 19, 2023
Application of Process Mining for Modelling Small Cell Lung Cancer Prognosis
Luca Marzano, Sebastiaan Meijer, Asaf Dan, et al.
Studies in Health Technology and Informatics
|
August 23, 2024
Exploring Hospital Overcrowding with an Explainable Time-to-Event Machine Learning Approach
Tobias Haraldsson, Luca Marzano, Harsha Krishna, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
BMC Geriatrics
|
January 25, 2024
Tensions between real-world practices and the digitalization paradigm for data-driven services in eldercare: observations from an ethnographic study in Sweden
Mikaela Hellstrand, Maksims Kornevs, Jayanth Raghothama, et al.
Scientific Reports
|
April 8, 2025
A dynamic nonlinear flow algorithm to model patient flow
Arsineh Boodaghian Asl, Jayanth Raghothama, Adam S Darwich, et al.
JMIR Human Factors
|
April 21, 2026
To Choose a Band-Aid"Children's Preferences for Participation in Health Care Situations: Q Methodology Study
Merja Hietanen, Maksims Kornevs, Catarina Nahlén Bose, et al.
Scandinavian Journal of Caring Sciences
|
November 26, 2025
A Systematic Review on Children's Participation in Healthcare From a Child's Perspective
Merja Hietanen, Catarina Nahlén Bose, Anna Stålberg, et al.
JMIR Human Factors
|
June 30, 2023
Investigating the Connections Between Delivery of Care, Reablement, Workload, and Organizational Factors in Home Care Services: Mixed Methods Study
Adam S Darwich, Anne-Marie Boström, Susanne Guidetti, et al.
Clinical and Translational Science
|
July 20, 2022
A novel analytical framework for risk stratification of real-world data using machine learning: A small cell lung cancer study
Luca Marzano, Adam S Darwich, Salomon Tendler, et al.
JMIR Cancer
|
April 10, 2026
Real-World Evidence of Treatment Outcomes in Small Cell Lung Cancer: A Bayesian Mixed Effects and Competitive Risk Approach
Luca Marzano, Asaf Dan, Adam S Darwich, et al.
Clinical and Translational Science
|
August 8, 2024
Exploring the discrepancies between clinical trials and real-world data: A small-cell lung cancer study
Luca Marzano, Adam S Darwich, Asaf Dan, et al.
Studies in Health Technology and Informatics
|
May 19, 2023
Application of Process Mining for Modelling Small Cell Lung Cancer Prognosis
Luca Marzano, Sebastiaan Meijer, Asaf Dan, et al.
Studies in Health Technology and Informatics
|
August 23, 2024
Exploring Hospital Overcrowding with an Explainable Time-to-Event Machine Learning Approach
Tobias Haraldsson, Luca Marzano, Harsha Krishna, et al.
Page
of 2