[HTML][HTML] Utilization of electronic medical records and biomedical literature to support the diagnosis of rare diseases using data fusion and collaborative filtering …
Background: In the United States, a rare disease is characterized as the one affecting no
more than 200,000 patients at a certain period. Patients suffering from rare diseases are
often either misdiagnosed or left undiagnosed, possibly due to insufficient knowledge or
experience with the rare disease on the part of clinical practitioners. With an exponentially
growing volume of electronically accessible medical data, a large volume of information on
thousands of rare diseases and their potentially associated diagnostic information is buried …
more than 200,000 patients at a certain period. Patients suffering from rare diseases are
often either misdiagnosed or left undiagnosed, possibly due to insufficient knowledge or
experience with the rare disease on the part of clinical practitioners. With an exponentially
growing volume of electronically accessible medical data, a large volume of information on
thousands of rare diseases and their potentially associated diagnostic information is buried …
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