Temporomandibular disorders and neck pain in primary headache patients: A retrospective machine learning study

M Ferrillo, M Migliario, N Marotta… - Acta odontologica …, 2023 - Taylor & Francis
Objectives To evaluate the linkage underpinning different clinical conditions as painful TMD
and neck pain in patients affected by primary headaches. Materials and methods In this …

Post-acute sequelae of COVID-19 symptom phenotypes and therapeutic strategies: A prospective, observational study

JA Frontera, LE Thorpe, NM Simon, A de Havenon… - Plos one, 2022 - journals.plos.org
Background Post-acute sequelae of COVID-19 (PASC) includes a heterogeneous group of
patients with variable symptomatology, who may respond to different therapeutic …

[HTML][HTML] Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: A cluster analysis

MJ Valladares-Garrido, VE Failoc-Rojas… - International Journal of …, 2022 - Elsevier
Objectives To identify differences in the clinical and epidemiologic characteristics of patients
during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque …

A Kermack–McKendrick model with age of infection starting from a single or multiple cohorts of infected patients

J Demongeot, Q Griette… - Proceedings of the …, 2023 - royalsocietypublishing.org
The infectiousness of infected individuals is known to depend on the time since the
individual was infected, called the age of infection. Here, we study the parameter …

Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes

G Vasquez-Rios, W Oh, S Lee, P Bhatraju… - Clinical Journal of the …, 2023 - journals.lww.com
Background AKI is a heterogeneous syndrome. Current subphenotyping approaches have
only used limited laboratory data to understand a much more complex condition. Methods …

Analysis and prediction of infectious diseases based on spatial visualization and machine learning

Y Cheng, Y Bai, J Yang, X Tan, T Xu, R Cheng - Scientific Reports, 2024 - nature.com
Infectious diseases are a global public health problem that poses a threat to human society.
Since the 1970s, constantly mutated new infectious viruses have been quietly attacking …

An innovative patient clustering method using data envelopment Analysis–Discriminant analysis and artificial neural networks: A case study in healthcare systems

S Yousefi, RF Saen, H Shabanpour, K Ghods - Socio-Economic Planning …, 2024 - Elsevier
A major lesson healthcare managers learned from the COVID-19 outbreak is the need for
more effective patient classification and medical resource allocation for future pandemics. In …

Data-driven health deficit assessment improves a frailty index's prediction of current cognitive status and future conversion to dementia: results from ADNI

A Engvig, LA Maglanoc, NT Doan, LT Westlye… - Geroscience, 2023 - Springer
Frailty is a dementia risk factor commonly measured by a frailty index (FI). The standard
procedure for creating an FI requires manually selecting health deficit items and lacks …

From typology to criteria considered by farmers: what explains agroecological practice implementation in North-Sudanian Burkina Faso?

AR Bagagnan, D Berre, H Webber, J Lairez… - … in Sustainable Food …, 2024 - frontiersin.org
Cropping systems in the North-Sudanian zone of Burkina Faso face significant challenges
related to poor yields, declining soil fertility and harsh climatic conditions. Together these …

[HTML][HTML] Characterization of COVID-19 infected pregnant women with ICU admission and the risk of preterm: A cluster analysis

A Sarria-Santamera, N Kapashova, R Sarsenov… - Journal of Infection and …, 2024 - Elsevier
Background The unique physiological changes during pregnancy present challenges in
understanding the full scope and effects of COVID-19 on pregnant women, adding …