Sunday, December 1, 2013

Longitudinally Evaluated Disease Screening Technologies

I've recently had another journal article published. It is focused on the evaluation of disease screening technologies in longitudinal trials (ie. long running research trials which rely on a new technology for monitoring a population). As a technology researcher, I am particularly interested in this subject as I endeavor to develop new disease detection technologies which will be evaluated in longitudinal trials. The article was published in the Journal of Clinical and Diagnostic Research and you can access it here.

Friday, July 12, 2013

Machine Learning in MRI-enabled Breast Cancer Screening

I've just had another research study published, this time in the Journal of Digital Imaging and has just been published online ahead of the print edition. The article presents a mathematical formulation to the supervised learning problem and demonstrates its application in the computer-aided diagnosis of breast cancer from MRI screening examinations of high-risk women. The article is copyrighted by Springer, the journal's publisher, so I can't reproduce it on Spotlight-on-Science, however, you can access it from their website here.

Sunday, June 2, 2013

Mortality Among Women Enrolled in MRI enabled Breast Cancer Screening

I've just had an article published in the journal Radiology focusing on the mortality/survivorship results of MRI-enabled breast cancer screening. It takes a very long time to acquire mortality/survivorship data in a breast cancer screening study. Typically a population is followed for a long time (often more than 10 years) in order to establish what percentage of women who develop breast cancer go on to survive the disease many years after a diagnosis from the screening method being tested.
 

Sunday, March 17, 2013

The Significance of Statistical Significance

The other year I authored a paper that takes unique approaches to demonstrating that the commonly used term for statistical significance (p < .05) is obtainable from data that is not 'significant'. The paper was invited for publication in a new journal, but at the time I was too busy focusing on other endeavours to develop the paper and take advantage of the publication invitation.

Friday, February 8, 2013

Clinical Computer-Aided Detection in Breast Cancer Screening

I've authored a meta-analysis on the clinical use of computer-aided detection technologies in x-ray mammographic breast cancer screening. A meta-analysis is a type of study where the scientist analyzes the literature on a particular subject. I am a young researcher and meta-analyses are typically authored by well established and senior scientists. Furthermore, the subject matter of the study is both clinical and technical making an appropriate place for its publication somewhat elusive.

Tuesday, January 29, 2013

Overfitting in Computer Aided Diagnosis

I've just had the honour of having one of my journal papers published by invitation. The paper is on overfitting, a scourge of a problem for pattern recognition researchers. Overfitting is a problem that occurs when a learning machine is overly tuned to the data it was provided to learn on. Overfitting is a particularly problematic phenomenon as an overfitted classifier (or supervised learning algorithm) may yield extremely promising results on the data set being evaluated while simultaneously providing an unreliable test on new datasets that it has not yet been exposed to.