Results 1 to 10 of about 448,807 (365)

Severity of Illness Scores May Misclassify Critically Ill Obese Patients*

Critical Care Medicine, 2017
R. Deliberato, Stephanie Q. Ko, Stephanie Q. Ko, Matthieu Komorowski, Matthieu Komorowski, M. A. A. D. L. Hoz, Maria P. Frushicheva, J. Raffa, Alistair Johnson, L. Celi, L. Celi, David J. Stone, David J. Stone   +12 more
semanticscholar   +1 more source

Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection

Advanced Intelligent Systems, EarlyView.
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad, Behrouz Homam, Ariel Feygin, Mahan Najafpour Ghazvini Fardshad, Shahak Rozenblat, Abed Matinpour, Arman Laly, Fatemeh Esmaeildoost, Razieh Salahandish   +8 more
wiley   +1 more source

The value of combined thromboelastography test for the early prediction of disease severity in patients with haemorrhagic fever of renal syndrome and the construction of a critical model. [PDF]

PLoS One
Dou L, Huang Y, Miao H, Xiu S, Hu F, Chen H, Luo D, Wang S.   +7 more
europepmc   +1 more source

Pediatric Critical Care Illness Severity Toolkit: Stata Commands for Calculation of Pediatric Index of Mortality and Pediatric Logistic Organ Dysfunction Scores

Răzvan Azamfirei, Colleen Mennie, James C. Fackler, Sapna R. Kudchadkar   +3 more
openalex   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Self‐Healing Materials from Electronically Integrated Microscopic Robots

Advanced Intelligent Systems, EarlyView.
Submillimeter robots can use electronically controlled electrodeposition to assemble into a material structure. The resulting aggregate possesses ultralow density, high strength‐to‐weight ratio, and can heal from damage. Further afield, these results clear a path to materials that organize or adapt by directing matter and information at the microscale.
Lucas C. Hanson, William H. Reinhardt, Marc Z. Miskin   +2 more
wiley   +1 more source

Emotional intelligence and loneliness in eating disorders: a cluster-analytic study across diagnostic categories. [PDF]

J Eat Disord
Meneguzzo P, Marzotto A, Conti F, Mezzani B, Maggi L, Todisco P.   +5 more
europepmc   +1 more source

Promoting radical healing to facilitate community capacity building among formerly incarcerated Black and Latino men with substance use disorders

American Journal of Community Psychology, EarlyView.
Abstract This study reports on a qualitative thematic analysis of secondary data from group session recordings collected as part of the Community Wise Optimization Trial. Community Wise is a multilevel behavioral intervention designed to increase critical consciousness and reduce substance use among formerly incarcerated men living in predominantly ...
Richmond E. Hayes, Heather A. Jones, Ellen Benoit, Dora N. Watkins, Liliane C. Windsor   +4 more
wiley   +1 more source

The Severity of Acute Illness and Functional Trajectories in Hospitalized Older Medical Patients

The journals of gerontology. Series A, Biological sciences and medical sciences, 2017
F. Fimognari, A. Pierantozzi, W. De Alfieri, B. Salani, S. Zuccaro, Andrea Arone, Giacomo Palleschi, L. Palleschi   +7 more
semanticscholar   +1 more source

Who puts the “support” in supportive housing? The relationship between housing staff support and resident experiences, and the potential moderating role of self‐determination

American Journal of Community Psychology, EarlyView.
Abstract The provision of residential and community‐based services for individuals with serious mental illness (SMI) has become increasingly important following the deinstitutionalization movement. Much of the existing research on supportive housing focuses on housing outcomes rather than exploring how the program helps its residents thrive in the ...
Kenna E. Dickard, Greg Townley
wiley   +1 more source