JMIR Medical Informatics

View query in Help articles search

Field

e.g. mhealth

Operator

Field

Criteria

e.g. mhealth

Search Results (1 to 7 of 7 Results)

Download search results: CSV END BibTex RIS

Sort by:

Performance of a Digital Cognitive Assessment in Predicting Dementia Stages Delineated by the Dementia Severity Rating Scale: Retrospective Study

As noted earlier, dementia is not a monolithic disease; therefore, both cognitive and functional abilities need to be measured to accurately assess its severity and progression. Standardized cognitive tests can provide objective measures of cognitive functioning in different domains such as memory and executive function.

Duong Huynh, Kevin Sun, Mary Patterson, Reza Hosseini Ghomi, Bin Huang

JMIR Aging 2025;8:e65292

Download Citation: END BibTex RIS

Download PDF Download XML

Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

However, data-driven clinical decision support tools with the ability to generate transition probabilities and progression paths can allow the development of effective intervention strategies at a cohort level, leading to better treatment outcomes. For this purpose, researchers have proposed and developed various quantitative disease progression models based on mathematical functions to understand the progression patterns of complex chronic diseases [6].

Arindam Brahma, Samir Chatterjee, Kala Seal, Ben Fitzpatrick, Youyou Tao

JMIR Med Inform 2024;12:e59392

Download Citation: END BibTex RIS

Download PDF Download XML

Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis

Given that one of the key stated purposes of the OPD pathway is to “manage breakdown and failure...to support future progression” [30], it is important to understand why some offenders are not progressing to learn how pathway plans can adapt. The OPD pathway is informed from the “What Works?” literature [31], the risk needs responsivity (RNR) principles [32] and the Good Lives Model [29].

Georgina Mathlin, Mark Freestone, Celia Taylor, Jake Shaw

JMIRx Med 2021;2(4):e27907

Download Citation: END BibTex RIS

Download PDF Download XML

Multiple Sclerosis Progression Discussion Tool Usability and Usefulness in Clinical Practice: Cross-sectional, Web-Based Survey

It is challenging to define this transition from RRMS to SPMS because of the lack of a clear consensus on the diagnostic criteria and the absence of reliable biomarkers of disease progression [4]. This delay in SPMS diagnosis may affect long-term prognosis and treatment decision-making [5]. Previous research has confirmed an unmet need for a tool to facilitate systematic assessment of the early signs of progression to SPMS in routine clinical practice [6].

Tjalf Ziemssen, Gavin Giovannoni, Enrique Alvarez, Virender Bhan, Carrie Hersh, Olaf Hoffmann, Celia Oreja-Guevara, Rene R Robles-Cedeño, Maria Trojano, Patrick Vermersch, Pamela Dobay, Mudeer Khwaja, Bianca Stadler, Benedict Rauser, Thomas Hach, Daniela Piani-Meier, Jason Burton

J Med Internet Res 2021;23(10):e29558

Download Citation: END BibTex RIS

Download PDF Download XML

Estimation of COVID-19 Period Prevalence and the Undiagnosed Population in Canadian Provinces: Model-Based Analysis

A disease progression and transmission model is used to estimate the size and composition of the COVID-19 period prevalence by integrating the results of previous seroprevalence surveys with primary provincial observed data of health events related to COVID-19 and its sequelae, including COVID-19–related deaths. From these estimates, we derive the proportion of the infected population that remained undiagnosed during this period.

Abdullah Hamadeh, Zeny Feng, Jessmyn Niergarth, William WL Wong

JMIR Public Health Surveill 2021;7(9):e26409

Download Citation: END BibTex RIS

Download PDF Download XML

Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation

Reference 15: A predictive model for distinguishing radiation necrosis from tumour progression after Reference 16: Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression Reference 27: Severity assessment and progression prediction of COVID-19 patients based on the LesionEncoderprogression

Yang Gao, Xiong Xiao, Bangcheng Han, Guilin Li, Xiaolin Ning, Defeng Wang, Weidong Cai, Ron Kikinis, Shlomo Berkovsky, Antonio Di Ieva, Liwei Zhang, Nan Ji, Sidong Liu

JMIR Med Inform 2020;8(11):e19805

Download Citation: END BibTex RIS

Download PDF Download XML

A Physician-Completed Digital Tool for Evaluating Disease Progression (Multiple Sclerosis Progression Discussion Tool): Validation Study

Studies have reported that the onset of progression is early, with discrete and identifiable signs seen even at a disability status score of two or lower [2]. In many RRMS patients, silent accrual of disability progression independent of relapse activity has also been observed [15]. In previous research, physicians confirmed an unmet need for a tool that could be used in routine clinical practice to raise awareness and facilitate the systematic assessment of early signs of progression to SPMS.

Tjalf Ziemssen, Daniela Piani-Meier, Bryan Bennett, Chloe Johnson, Katie Tinsley, Andrew Trigg, Thomas Hach, Frank Dahlke, Davorka Tomic, Chloe Tolley, Mark S Freedman

J Med Internet Res 2020;22(2):e16932

Download Citation: END BibTex RIS

Download PDF Download XML

Search Articles

Search Results (1 to 7 of 7 Results)