This study concerns the additional value of transfer training after structured learning therapy (SLT). Hospitalized patients were assigned to one of 5 conditions: 5 wk of SLT (N), 7 wk of SLT (C), 5 wk of SLT + 2 more wk of on the ward training (TT), social companionship therapy (...
However, these MPTs were not taught at the university at the time of this investigation.Reducing the disconnect between manual patient transfer training obtained in the academic and clinical environments will hopefully reduce the risk of injury for nurses and improve the quality of care for patients...
Spherical Parallel Instrument for Daily Living Emulation (SPINDLE) to Restore Motor Function of Stroke Survivors Task-oriented training is crucial in the rehabilitation of patients with paresis to maximize the training effect of target tasks. To train the stroke patie... P He,B Xu,J Kang - IE...
Caregiver burden significantly affects both patients and caregivers but is often overlooked in clinical practice. Physical and emotional strain on caregive... Jae Ik Jung,Yoo Seok Jeong,Dong Rak Kwon - Medicine 被引量: 0发表: 2024年 Transfer of Training and the Measurement of Training Effectivenes...
Current changes to primary care are meant to improve services for patients, but history suggests that they may not deliver and could even decrease satisfac... I Greener,R Mannion - Bmj 被引量: 20发表: 2006年 Local Partnership for Economic Development: Business Links and the Restructuring of ...
Before and after training, we measured visual fields and reading speed. Additionally, color and shape perception in the trained visual field area was measured in 7 patients. Results: VFE was found for 9 of 12 patients. Significant improvements were observed in reading speed for 8 of 12 ...
Cancer is a complex, dynamic, and heterogenous disease. Patients with the same cancer histology can respond differently to the same anti-cancer therapy1. Multiple in vitro drug screening studies have been conducted generating data about drug efficacy on cancer cell lines (CCLs)2,3,4,5,6. Due...
data column names (Same columns used in pretraining described above, although the data may be a subset of the pretraining dataframe based on the task and outcome. For this example dataset, any patients with less than two visits were dropped for the finetuning data.). windows column names (...
5 used 130,000 dermatological photographs to build a deep learning model that outperformed human dermatologists in deciding treatment plans for patients with two types of skins cancer. Typically, the more the input data provided, the better a deep learning-based model performs6. However, the ...
Implementation strategy of a CNN model affects the performance of CT assessment of EGFR mutation status in lung cancer patients. IEEE Access. 2019;7:64583–91. Article PubMed PubMed Central Google Scholar Mittal S, Vaishay S. A survey of techniques for optimizing deep learning on GPUs. J ...