The National Research Council released a report earlier this month that highlights the need for new systems to incorporate the health and disease-related information that continues to amass at an amazing rate, into a single resource that can help improve health outcomes.
Taxonomies are not limited to scientific or biomedical data. They may be used more often for that type of data, but online retailer Plumbworld, […]
One of the important components of many bioinformatic algorithms are semantic similarity searches in ontologies. There are, unfortunately, no algorithms for computing the exact distribution of semantic similarity scores.
We all know that behind the scenes in the health care industry many people are working towards one of the biggest changes to information systems in years. That is of course, the transition to the new ICD-10 medical coding classification system. For some, this is a business opportunity that could create growth and revenue.
The challenges of managing in-house data, connecting it with public data and annotations, and then interpreting what it all means in the context of the biology research, is something everyone involved in bioinformatics research can attest to. Data interpretation slows down the process.
Most healthcare organizations are focused on getting their electronic health records (EHR) systems running properly in preparation for the transition to meet ICD-10 compliance. The significant revision to reimbursement guidelines at the federal level has captured the attention of those concerned about cash flow and compliance.
I confess. I am a grammar snob. And it has gotten much worse since I joined Facebook. If I see one more “that is a great ideal”, or “their is a bird outside” status update, I will scream. Even Word corrected the wrong choice of word when I was writing this post. If Clippy knows better, why don’t educated professionals?
Though semantic technology has become much more common in and out of the IT world, it is still ones of those terms that can cause you to lose your audience very quickly. The Defense Department thought so too, so they created an explanation of semantic technology using a brief video to address ontologies, natural language processing, etc. Did I lose you again? Just watch this.
The National Initiative for Cybersecurity Education (NICE) has released a draft taxonomy of the cybersecurity workforce and it shows functions divided into seven broad categories of jobs - securely provision, operate and maintain, protect and defend, investigate, operate and collect, analyze, and support.