We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience, read our Cookie Policy

Machine Learning: Helping Determine How a Drug Affects the Brain

News   Nov 16, 2017 | Original story from University College London

 
Machine Learning: Helping Determine How a Drug Affects the Brain

Gaze recovery high-dimensional classifier weights. Represented as 3D cubic glyphs varying in colour and scale are the weights of a transductive linear support vector machine classifier trained to relate the high-dimensional pattern of damage to gaze outcome, achieving k-fold cross-validation performance of 78.33% (SE = 1.70%) sensitivity and 82.78% (SE = 0.56%) specificity for distinguishing between patients who recovered from a leftward deviation of gaze and those who did not. Positive weights (dark blue to cyan) favour recovery, negative weights (dark red to yellow) persistence of symptoms. Though hemispheric asymmetry is prominent, note the distribution of weights is highly complex, as one would expect from the complexity of the functional and lesional architectures that generate the critical pattern. Credit: https://doi.org/10.1093/brain/awx288

 
 
 

RELATED ARTICLES

Gene Medication to Treat Spinal Cord Injury

News

After several months of gene medication treatment, rodents were able to use previously paralyzed limbs, a study has found.

READ MORE

Making Sense of Your Sweat Data

News

While a lot of research has been directed at developing continuous sensing technologies, less effort has been directed to understanding the physiology of biofluid secretion.

READ MORE

Absorbable Antibiotic Envelope Can Cut Cardiac Device Infections

News

An absorbable, antibiotic-eluting envelope implanted when implanting cardiac devices like pacemakers and defibrillators can cut the rate of major infections by 40 percent.

READ MORE

 

Like what you just read? You can find similar content on the communities below.

Informatics Neuroscience

To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free

LOGIN SUBSCRIBE FOR FREE