Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model

Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 8

Опубликована: Фев. 7, 2025

Assessing cognitive function in patients with chronic obstructive pulmonary disease (COPD) is crucial for ensuring treatment efficacy and avoiding moderate impairment (MCI) or dementia. We aimed to build better machine learning models provide useful tools guidance assistance COPD patients' care. A total of 863 from a local general hospital were collected screened, they separated into two groups: (356 patients) cognitively normal (507 patients). The Montreal Cognitive Assessment (MoCA) was used test function. swarm intelligence optimization algorithm (SIOA) direct feature weighting hyperparameter optimization, which considered simultaneous activities. self-assigning weights residual evolution (SAFWRE) built on the concept linear nonlinear information fusion. best method SIOA circle search algorithm. On training set, SAFWRE's ROC-AUC 0.9727, its PR-AUC 0.9663; receiver operating characteristic-area under curve (ROC-AUC) 0.9243, precision recall-area (PR-AUC) 0.9059, performance much superior than that control technique. In terms external data, classification prediction various are comprehensively evaluated. SAFWRE has most excellent performance, 0.8865 pr-auc 0.8299. This work develops practical visualization system based these weight attributes strong application importance promotion value.

Язык: Английский

Discrepant Spatiotemporal Characteristics of Gait Impairments in Thalamic Infarction Patients

Brain and Behavior, Год журнала: 2025, Номер 15(5)

Опубликована: Май 1, 2025

ABSTRACT Background and Objectives Thalamic infarction (TI) can lead to gait disturbances (GDs), even in the absence of significant motor impairments. Understanding characteristics GDs TI patients is crucial for developing targeted rehabilitation strategies. Nonetheless, very little known about detailed changes patients. This study aimed investigate characterize these parameters Methods Ninety participants, including 45 subacute age‐sex‐matched healthy controls, were cross‐sectionally consecutively included from West China Hospital, Sichuan University. A set spatiotemporal analyses was performed with forty‐one as output, evaluated using “ReadyGo” three‐dimensional motion balance testing system. Additionally, we analyzed correlation between cerebral small vessel disease (CSVD) controls (HC) a Fisher z‐test determine whether there difference. Results Variability, stride length, speed, swing velocity significantly differed affected unaffected sides exhibited differences thirty‐eight compared controls. Coordination analysis revealed impairments timed up go test, longer total time, turn stand‐up reduced speed. deficits noted Heel‐Knee‐Shin test Finger‐Nose test. However, no found Romberg's Balance assessment showed variations sit torso rocking degree, forward roll walking The CSVD HC presented. it that burden leads decrease step width increases trunk sway degree tandem stance TI. Conclusion demonstrates distinct impairment patterns, coordination, our findings suggest mechanisms underlying may differ relation CSVD. These emphasize need personalized strategies target specific

Язык: Английский