An introduction to machine learning and analysis of its use in rheumatic diseases

KM Kingsmore, CE Puglisi, AC Grammer… - Nature Reviews …, 2021 - nature.com
Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis

B Norgeot, BS Glicksberg, L Trupin, D Lituiev… - JAMA network …, 2019 - jamanetwork.com
Importance Knowing the future condition of a patient would enable a physician to customize
current therapeutic options to prevent disease worsening, but predicting that future condition …

[HTML][HTML] Inflammatory arthritis disrupts gut resolution mechanisms, promoting barrier breakdown by Porphyromonas gingivalis

MB Flak, RA Colas, E Muñoz-Atienza, MA Curtis… - JCI insight, 2019 - ncbi.nlm.nih.gov
Rheumatoid arthritis is linked with altered host immune responses and severe joint
destruction. Recent evidence suggests that loss of gut homeostasis and barrier breach by …

The patellofemoral morphology and the normal predicted value of tibial tuberosity-trochlear groove distance in the Chinese population

Z Li, G Liu, R Tian, N Kong, Y Li, Y Li, K Wang… - BMC Musculoskeletal …, 2021 - Springer
Background Our objective was to obtain normal patellofemoral measurements to analyse
sex and individual differences. In addition, the absolute values and indices of tibial …

Non-invasive diagnosis for acute rejection using urinary mRNA signature reflecting allograft status in kidney transplantation

JW Seo, YH Lee, DH Tae, SH Park, JY Moon… - Frontiers in …, 2021 - frontiersin.org
Urine has been regarded as a good resource based on the assumption that urine can
directly reflect the state of the allograft or ongoing injury in kidney transplantation. Previous …

Derivation and validation of risk prediction for posttraumatic stress symptoms following trauma exposure

R Kim, T Lin, G Pang, Y Liu, AS Tungate… - Psychological …, 2023 - cambridge.org
BackgroundPosttraumatic stress symptoms (PTSS) are common following traumatic stress
exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is …

Performance of the systemic lupus erythematosus risk probability index (SLERPI) in the Egyptian college of rheumatology (ECR) study cohort

N Hammam, A Elsaman, E Abualfadl, S Senara… - Clinical …, 2024 - Springer
Objectives This study aimed to evaluate the performance of systemic lupus erythematosus
Risk Probability Index (SLERPI) in Egyptian patients with SLE using a national …

Methodological guidelines to estimate population-based health indicators using linked data and/or machine learning techniques

R Haneef, M Tijhuis, R Thiébaut, O Májek… - Archives of Public …, 2022 - Springer
Background The capacity to use data linkage and artificial intelligence to estimate and
predict health indicators varies across European countries. However, the estimation of …

Restoring cartilage lubrication to heal post-traumatic OA

J Clarke - Nature Reviews Rheumatology, 2021 - nature.com
Restoring cartilage lubrication to heal post-traumatic OA | Nature Reviews Rheumatology Skip to
main content Thank you for visiting nature.com. You are using a browser version with limited …

[PDF][PDF] Prediction in rheumatoid arthritis to enable individualised therapy

AÖ Sysojev - 2024 - openarchive.ki.se
How much do the genes you were born with, inform your future? Be it the height attained by
adulthood, the number of years spent in education, or any eventual diseases you may …