Artificial neural network

Artificial neural networks help identify predisposing factors for conversion of mild cognitive impairment to Alzheimer’s disease

ScienceDaily (Mar. 2, 2010) — Mild cognitive impairment (MCI) is often considered an early symptom of Alzheimer’s disease (AD). An analysis of genetic risk factors predisposing to MCI is critical for accessing individual predisposition and reliably evaluating the effectiveness of early treatment. In a groundbreaking study published in the February 2010 issue of the Journal [...]

Neural Network Reduces False Positives in CAD

Using an advanced massive-training artificial neural network (MTANN), computer-aided detection (CAD) scheme, radiologists were able to improve their polyp detection rate and reduce the number of false positives in CT colonography (CTC), based on a study presented at the 2009 Radiological Society of North America (RSNA) annual conference in Chicago. Kenji Suzuki, PhD, assistant professor [...]

Releasing Early Results – Predicting Hypotension

Today Avantrasara released some early results from the Avert-IT research project, showing the Bayesian Artificial Neural Network anticipating hypotensive episodes. It’s far too early to suggest these results prove anything but they are showing what we expected – which is very encouraging. The graphic on the right shows monitored BPm for a patient in intensive [...]

Open Source Bayesian Artificial Neural Network

Could you be interested in using Bayesian Artificial Neural Network software? If so let us know. Part of our research required us to build a BANN to research a large amount of patient parameter data – all minute by minute readings from monitoring equipment. Next up for us is building a prediction engine based on [...]

Anticipating Hypotensive Episodes in ICU

Year 2 Project Review – Vilnius September 2009 September 22, 2009 Over the weekend we had a chance to get the whole team together and review our progress. Vilnius isn’t the easiest place to get to, for most of us at least, which helps us understand how difficult it can be for Arminas to join us [...]

Associated Parameter Selection – by Rob Donald

Abstract This discussion paper gives an description of the techniques that will be used to identify the associated parameters to be included in the Bayesian Artificial Neural Network (BANN) train- ing database.

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