Research on Computerization of Auxiliary Diagnostic System for Neurocritical Care
XU Tong-liang · Clinical Medical Engineering · 2009
Objective To discuss the computerization of auxiliary diagnostic system for neurocritical care (CADSNC) based on Case-based Reasoning (CBR) and its possible use in neuro intensive care unit. Methods Diagnostic factors and retrieval algorithm are the focus of the CADSNC,and they determine the speed and accuracy of the whole system. Firstly,based on knowledge of neurological clinic experts and authoritative textbook,diagnostic factors and their weight were established from six aspects,including semiology,anamnesis,check-up,medical imaging,electrophysiology and clinical laboratory medicine. Secondly,the better algorithm was looked for from related retrieval algorithms. Thirdly,case-based database was founded by picking up the electronic medical records (EMR) in hospital information system. Finally,CADSNC was developed with Borland dephi 7 and Microsoft SQLServer 2000. Results Diagnostic factors and their weight were confirmed for each neurological disease.Nearest-neighbor match was selected as the retrieval algorithm of CADSNC. Neurological case-based database was establihed. CADSNC was established and was made an attempt to applied in clinic practice. Conclusions CBR is a successful technique for CADSNC in neuro intensive care unit.