AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity

LT Majnarić, F Babič, S O'Sullivan… - Journal of Clinical …, 2021 - mdpi.com
Multimorbidity refers to the coexistence of two or more chronic diseases in one person.
Therefore, patients with multimorbidity have multiple and special care needs. However, in …

The role of artificial intelligence in managing multimorbidity and cancer

A Cesario, M D'Oria, R Calvani, A Picca… - Journal of Personalized …, 2021 - mdpi.com
Traditional healthcare paradigms rely on the disease-centered approach aiming at reducing
human nature by discovering specific drivers and biomarkers that cause the advent and …

Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1· 7 million individuals in Wales …

RK Owen, J Lyons, A Akbari, B Guthrie… - The Lancet Public …, 2023 - thelancet.com
Background To inform targeted public health strategies, it is crucial to understand how
coexisting diseases develop over time and their associated impacts on patient outcomes …

Multimorbidity clusters in the oldest old: results from the EpiChron cohort

I Ioakeim-Skoufa, M Clerencia-Sierra… - International Journal of …, 2022 - mdpi.com
Multimorbidity is challenging for both patients and healthcare systems due to its increasing
prevalence and high impact on people's health and well-being. The risk of multimorbidity …

[HTML][HTML] Contribution of frailty to multimorbidity patterns and trajectories: longitudinal dynamic cohort study of aging people

LA Carrasco-Ribelles, M Cabrera-Bean… - JMIR public health …, 2023 - publichealth.jmir.org
Background: Multimorbidity and frailty are characteristics of aging that need individualized
evaluation, and there is a 2-way causal relationship between them. Thus, considering frailty …

Characterisation, symptom pattern and symptom clusters from a retrospective cohort of Long COVID patients in primary care in Catalonia

G Torrell, D Puente, C Jacques-Aviñó… - BMC infectious …, 2024 - Springer
Background Around 10% of people infected by SARS-COV-2 report symptoms that persist
longer than 3 months. Little has been reported about sex differences in symptoms and …

Multimorbidity clusters among long‐term breast cancer survivors in Spain: Results of the SURBCAN study

A Jansana, B Poblador‐Plou… - … Journal of Cancer, 2021 - Wiley Online Library
The disease management of long‐term breast cancer survivors (BCS) is hampered by the
scarce knowledge of multimorbidity patterns. The aim of our study was to identify …

Multimorbidity patterns and 5-year mortality in institutionalized older adults

DL Vetrano, C Damiano, C Tazzeo, A Zucchelli… - Journal of the American …, 2022 - Elsevier
Objectives The aim was to characterize multimorbidity patterns in a large sample of older
individuals living in nursing homes (NHs) and to investigate their association with mortality …

[HTML][HTML] 12-year evolution of multimorbidity patterns among older adults based on Hidden Markov Models

A Roso-Llorach, DL Vetrano, C Trevisan… - Aging (Albany …, 2022 - ncbi.nlm.nih.gov
Background: The evolution of multimorbidity patterns during aging is still an under-
researched area. We lack evidence concerning the time spent by older adults within one …

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 …