In some other countries, medical device databases have been established to provide both doctors and patients with more data about how competing products differ.
We explain how to apply this artificial neural network to extract relevant information from microprocessor device databases, showing some case studies as an illustration.
By connecting information from these devices, database companies that collect information can know a lot more about individuals than previously thought possible, including, for instance, their physical location and the identity of family members, friends and colleagues.
In the Netherlands, information systems, such as digital diagnostic devices, databases and shared electronic patient records have been introduced to re-organize eye care [ 5, 6], and to share tasks between ophthalmologists and optometrists.
As a way of protecting the link between iPods, iPhones and the iTunes music store databases stored on those devices, Apple began employing a hashing algorithm late last year which masked transactions between a device's database and the music store.
There are three key managers that make up the core WinCC functionality: event, device, and database managers.
The Manufacturer and User Facility Device Experience database may be useful for clinicians using a Food and Drug Administration approved medical device to identify the occurrence of adverse events and complications.
To manage these problems, this study proposes a context-aware ubiquitous learning system (CAULS) based on radio-frequency identification (RFID), wireless network, embedded handheld device, and database technologies to detect and examine real-world learning behaviors of students.
During routine surveillance of returned product analyses (RPAs) in the Food and Drug Administration's Manufacturers and User Facility Device Experience database, we found a number of conductor fractures in small diameter implantable cardioverter-defibrillator leads manufactured by St Jude Medical , Inc SJM, Sylmar, CA).
For the three cases from the U.S., the author referred to the FDA's Manufacturer and User Facility Device Experience Database (MAUDE), which contains voluntary, user facility, distributor, and manufacturer reports of adverse events involving medical devices.
We conducted a review of the Food and Drug Administration's Manufacturer and User Facility Device Experience database and medical literature for adverse events (AEs) associated with falsely elevated glucose readings with GDH-PQQ test strips in the presence of interfering sugars.
