Parallel Patient Karyotype Information System using Multi-threads
Human cytogenetic data are the typical laboratory results from hospitals. Karyogram is used to show the chromosome characteristics. The characteristics are written as karyotype strings. For a particular patient, there may be many records of karyotype strings due to several visits. These data for many patients are increasingly large and must be stored properly for further investigation and analysis. This research introduces the information system for the hospital for keeping the karyotypes of patients and applies the parallel method for searching required karyotypes, extracting related patient information. Particularly, we exploit the technology of Node.js with multithreads while splitting queries to search in parallel. The search method is integrated to the cytogenetic information system which is aimed to use for studying karyotypes of leukemia patients.