[Primary application of identification-aided system for diagnosis and differential diagnosis of emerging infectious diseases].
OBJECTIVE
To verify the rate of diagnostic fitting between the clinic and the indentification-aided for diagnosis and differential diagnosis system, for emerging infections diseases (EID) established.


METHODS
314 cases of 49 kinds of contagious diseases diagnosed and another 186 patients with fever who not diagnosed were tested by the system.


RESULTS
Preliminary verification was made in 314 cases diagnosed which classified to 49 kinds of contagious diseases of infectious diseases and the results showed that the coincidence rate of clinical diagnosis and first diagnosis of this system was 61.9%; the suggestive rate of first three diagnoses was 78.1%, and that of first five diagnoses was 86.6%. The diagnosis of another 186 patients with fever were diagnosed by the system and the results showed that the coincidence rate of clinical diagnosis and first diagnosis was 59.7%; the suggestive rate of first three diagnoses was 77.9%, and that of first five diagnoses was 85.4%.


CONCLUSIONS
The system can accurately suggest impossible diagnosis and differential diagnosis, and be useful for our medical work.
Wang
Ye-dong
YD
The No. 302 Hospital of the Chinese People's Liberation Army, Beijing 100039, China.
You
Shao-li
SL
Li
Bao-sen
BS
Zhao
Jun
J
He
Jing
J
Rong
Yi-hui
YH
Chen
Li-ming
LM
Chang
Bin-xia
BX
Tian
Jia-he
JH
Zhou
Xian-zhi
XZ
Xin
Shao-jie
SJ
D019411:Clinical Laboratory Techniques; D021821:Communicable Diseases, Emerging / Q000175:diagnosis*; D003937:Diagnosis, Differential; D005069:Evaluation Studies as Topic; D005334:Fever; D006801:Humans; D012984:Software