[HTML][HTML] Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting
D Van Le, J Montgomery, KC Kirkby… - Journal of biomedical …, 2018 - Elsevier
Objective Instruments rating risk of harm to self and others are widely used in inpatient
forensic psychiatry settings. A potential alternate or supplementary means of risk prediction …
forensic psychiatry settings. A potential alternate or supplementary means of risk prediction …
Diagnosis of breast cancer by modular evolutionary neural networks
We construct a mixture of experts model for medical diagnosis. Each of the experts is a
complex modular neural network. The first modularity clusters the entire input space into a …
complex modular neural network. The first modularity clusters the entire input space into a …
[PDF][PDF] Ontology-concepts weighting for enhanced semantic classification of documents
S Fraihat - Int. J. Innov. Comput. Inf. Control, 2016 - ijicic.org
Automatic document classification has become increasingly important and difficult due to the
large scale of the electronic documents used in the last years. Traditional information …
large scale of the electronic documents used in the last years. Traditional information …
[PDF][PDF] Biodegradable polymeric nanomaterials
G Rohman, J Spadavecchia - Nanomaterials and Regenerative …, 2016 - iapc-obp.com
3.1. INTRODUCTION Polymeric nanomaterials are materials ranging from 1–1000 nm in
size in at least one dimension and are associated with having a larger surface area than …
size in at least one dimension and are associated with having a larger surface area than …
[PDF][PDF] Deep transfer learning in medical imaging
SK Kaliyugarasan - 2019 - bora.uib.no
A common stumbling block for supervised learning methods based on deep convolutional
neural networks (CNNs) is the large number of labeled examples required for training. To …
neural networks (CNNs) is the large number of labeled examples required for training. To …
Интеллектуализация систем управления промышленными производствами
ЕВ Константинова - 2018 - elibrary.ru
Монография направлена на совершенствование концептуальных, теоретико-
методологических и прикладных аспектов процесса формирования и оценивания …
методологических и прикладных аспектов процесса формирования и оценивания …
Stomach emptying evaluation by ultrasound and susceptometric measurements with a hybrid transducer
AC Bruno, O Baffa Filho, AAO Carneiro… - 2014 IEEE …, 2014 - ieeexplore.ieee.org
Gastric emptying reflects a diversity of important physiological functions. Alternating Current
Biosusceptometry (ACB) is an inexpensive, radiation-free, and noninvasive method to …
Biosusceptometry (ACB) is an inexpensive, radiation-free, and noninvasive method to …
On the use of local search in the evolution of neural networks for the diagnosis of breast cancer
With the advancement in the field of Artificial Intelligence, there have been considerable
efforts to develop technologies for pattern recognition related to medical diagnosis. Artificial …
efforts to develop technologies for pattern recognition related to medical diagnosis. Artificial …
Cross-correlation of biomedical images using two dimensional discrete Hermite Functions
N Srinivasan - 2012 - rave.ohiolink.edu
Searching for a part of an image within a larger image or within an image database may be
done with the method of image cross-correlation. Cross-correlation for one-dimensional (1D) …
done with the method of image cross-correlation. Cross-correlation for one-dimensional (1D) …
breast Cancer Diagnosis using optimized Attribute Division in Modular neural networks
The complexity of problems has led to a shift toward the use of modular neural networks in
place of traditional neural networks. The number of inputs to neural networks must be kept …
place of traditional neural networks. The number of inputs to neural networks must be kept …