[HTML][HTML] Overdiagnosis in the population-based organized breast cancer screening program estimated by a non-homogeneous multi-state model: a cohort study using …

WYY Wu, S Törnberg, KM Elfström, X Liu… - Breast Cancer …, 2018 - Springer
Background Overdiagnosis, defined as the detection of a cancer that would not become
clinically apparent in a woman's lifetime without screening, has become a growing concern …

A general goodness‐of‐fit test for Markov and hidden Markov models

AC Titman, LD Sharples - Statistics in medicine, 2008 - Wiley Online Library
Markov models are a convenient and useful method of estimating transition rates between
levels of a categorical response variable, such as a disease stage, which changes over time …

Modeling longitudinal dynamics of comorbidities

B Maag, S Feuerriegel, M Kraus… - Proceedings of the …, 2021 - dl.acm.org
In medicine, comorbidities refer to the presence of multiple, co-occurring diseases. Due to
their co-occurring nature, the course of one comorbidity is often highly dependent on the …

Screen-and-treat strategies for albuminuria to prevent cardiovascular and renal disease: cost-effectiveness of nationwide and targeted interventions based on analysis …

C Boersma, RT Gansevoort, P Pechlivanoglou… - Clinical …, 2010 - Elsevier
Background: Albuminuria is a marker for renal and cardiovascular (CV) risk, allowing early
diagnosis of subjects with elevated renal and CV risk. Objective: This study aimed to …

Mixture of input-output hidden markov models for heterogeneous disease progression modeling

T Ceritli, AP Creagh, DA Clifton - Workshop on Healthcare …, 2022 - proceedings.mlr.press
A particular challenge for disease progression modeling is the heterogeneity of a disease
and its manifestations in the patients. Existing approaches often assume the presence of a …

[HTML][HTML] Parameter estimates for invasive breast cancer progression in the Canadian National Breast Screening Study

S Taghipour, D Banjevic, AB Miller… - British journal of …, 2013 - nature.com
Background: The aim of screening is to detect a cancer in the preclinical state. However, a
false-positive or a false-negative test result is a real possibility. Methods: We describe …

Transitions between tobacco and cannabis use among adolescents: a multi-state modeling of progression from onset to daily use

A Mayet, S Legleye, N Chau, B Falissard - Addictive behaviors, 2011 - Elsevier
Use of a given substance may follow a stage process leading from onset to regular use, and
use of one substance can be strongly associated with use of another. The aim of this study …

[HTML][HTML] Machine learning approaches to classify self-reported rheumatoid arthritis health scores using activity tracker data: longitudinal observational study

K Rao, W Speier, Y Meng, J Wang… - JMIR formative …, 2023 - formative.jmir.org
Background: The increasing use of activity trackers in mobile health studies to passively
collect physical data has shown promise in lessening participation burden to provide …

[HTML][HTML] Estimating the contribution of HIV-infected adults to household pneumococcal transmission in South Africa, 2016–2018: A hidden Markov modelling study

D Thindwa, N Wolter, A Pinsent, M Carrim… - PLoS computational …, 2021 - journals.plos.org
Human immunodeficiency virus (HIV) infected adults are at a higher risk of pneumococcal
colonisation and disease, even while receiving antiretroviral therapy (ART). To help …

[HTML][HTML] Early detection and risk assessment for chronic disease with irregular longitudinal data analysis

K He, S Huang, X Qian - Journal of biomedical informatics, 2019 - Elsevier
Early detection and risk assessment of complex chronic disease based on longitudinal
clinical data is helpful for doctors to make early diagnosis and monitor the disease …