[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 …

Diagnosis of breast cancer by modular evolutionary neural networks

R Kala, RR Janghel, R Tiwari… - International Journal of …, 2011 - inderscienceonline.com
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 …

[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 …

[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 …

[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 …

Интеллектуализация систем управления промышленными производствами

ЕВ Константинова - 2018 - elibrary.ru
Монография направлена на совершенствование концептуальных, теоретико-
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 …

On the use of local search in the evolution of neural networks for the diagnosis of breast cancer

A Gupta, S Bhalla, S Dwivedi, N Verma, R Kala - Technologies, 2015 - mdpi.com
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 …

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) …

breast Cancer Diagnosis using optimized Attribute Division in Modular neural networks

R Kala, A Shukla, R Tiwari - Interdisciplinary Advances in Information …, 2013 - igi-global.com
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 …