Senthil K. Nachimuthu

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To be broadly useful, biomedical terminologies need to capture the knowledge and expertise of multiple experts, research groups and end users. Consequently, the construction of such a terminology requires collaboration among multiple participants. This paper summarizes several terminology projects which employ a collaborative authoring mode in development,(More)
SNOMED CT was created by the merger of SNOMED RT (Reference Terminology) and Read Codes Version 3 (also known as Clinical Terms Version 3). SNOMED CT is considered to be among the most extensive and comprehensive biomedical vocabularies available today. It is considered for use as the Reference Terminology of various institutions. We review the adequacy of(More)
Sepsis is a systemic inflammatory state due to an infection, and is associated with very high mortality and morbidity. Early diagnosis and prompt antibiotic and supportive therapy is associated with improved outcomes. Our objective was to detect the presence of sepsis soon after the patient visits the emergency department. We used Dynamic Bayesian Networks,(More)
Adequate control of serum glucose in critically ill patients is a complex problem requiring continuous monitoring and intervention, which have a direct effect on clinical outcomes. Understanding temporal relationships can help to improve our knowledge of complex disease processes and their response to treatment. We discuss a Dynamic Bayesian Network (DBN)(More)
Several biomedical vocabularies are often used by clinical applications due to their different domain(s) of coverage, intended use, etc. Mapping them to a reference terminology is essential for inter-systems interoperability. Manual vocabulary mapping is labor-intensive and allows room for inconsistencies. It requires manual searching for synonyms,(More)
Hybrid text matching algorithms similar to those used for DNA sequencing were developed by 3M Health Information Systems to map a noisy legacy codeset to the 3M Healthcare Data Dictionary (3M HDD). Applying these techniques to map other biomedical vocabularies was briefly introduced in an earlier paper describing the algorithms. We now present results from(More)
A health care organization wanting to implement electronic capture and storage needs to implement several controlled and legacy terminologies. The organization has control over its legacy terminologies, its data format and update process. But it has to deal with various aspects of third-party controlled medical terminologies which are out of its control.(More)
Terminology servers provide access to various biomedical terminologies for authoring and maintenance, in addition to automated use by various clinical and administrative applications and interface engines. HL7 Common Terminology Services (CTS) intends to provide standard interfaces for accessing terminology services within and across organizations. However,(More)