Machine learning is rapidly becoming an important approach across biomedical discovery, clinical research and precision medicine. These tools can uncover new possibilities for researchers, physicians and patients, allowing them to make more informed decisions and achieve better outcomes. EurekAlert! brought this topic to us in their article, “Practical machine learning and multi-criteria decision-making in healthcare.“
When deployed in healthcare settings, these approaches have the potential to enhance efficiency and effectiveness of the health research and care ecosystem, and ultimately improve quality of patient care.
As machine learning and artificial intelligence (AI) become ubiquitous in healthcare, there is much interest about their potential impacts. Deep learning is also increasingly used for speech recognition and, as such, is a form of natural language processing (NLP).
To make the most of that technology, content needs to be findable and, that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, AI suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
