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Automated early detection of drops in commercial egg production using neural networks.

British poultry science
1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg farm on a daily basis over 7 years. Records f...

Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentiall...

Home-based hand rehabilitation with a robotic glove in hemiplegic patients after stroke: a pilot feasibility study.

Topics in stroke rehabilitation
OBJECTIVE: To evaluate the feasibility and safety of home rehabilitation of the hand using a robotic glove, and, in addition, its effectiveness, in hemiplegic patients after stroke.

Robot Training With Vector Fields Based on Stroke Survivors' Individual Movement Statistics.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, current strategies for characterizing individual motor impairments are limited by the use of traditio...

Cervical cancer histology image identification method based on texture and lesion area features.

Computer assisted surgery (Abingdon, England)
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought by noise o...

Design and application of tumor prediction model based on statistical method.

Computer assisted surgery (Abingdon, England)
Two prediction models for tumor prediction based on logistic regression and BP neural network were proposed in this paper; a sensitivity analysis of risk factors was also conducted. The two protocols will be implemented in the R language and demonstr...

A descriptive statistical analysis of volume, visibility and attitudes regarding nursing and care robots in social media.

Contemporary nurse
BACKGROUND: Technology in the healthcare sector is undergoing rapid development. One of the most prominent areas of healthcare in which robots are implemented is nursing homes. However, nursing and technology are often considered as being contradicto...

Vitamin D status in children with headache: A case-control study.

Clinical nutrition ESPEN
BACKGROUND: Vitamin D is a fat soluble vitamin with hormonal properties, plays crucial functions in bone and mineral metabolism and has important regulatory functions in brain development, cell differentiation and apoptosis. Some studies have shown a...