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1.
Herald of Medicine ; (12): 661-666,后插1, 2024.
Article in Chinese | WPRIM | ID: wpr-1023764

ABSTRACT

Objective To develop an accurate deep learning prediction model of YOLO-V5 capable of accurately iden-tifying medication packaging boxes in outpatient and emergency pharmacies,aiming to assist pharmacists in achieving"zero dis-pensing error".Methods A total of 2 560 images of packaging boxes from 136 different drugs were collected and labeled to form the deep learning dataset.The dataset was split into training and validation sets at a ratio of 4∶1.YOLO-V5 deep-learning algorithm was employed for training the data using images from our dataset(train epochs:500,batch size:4,learning rate:0.01).The values of the precision(Pr)and mean average precision(mAP)were used as measures for model performance evaluation.Results The Pr of the four sub-models of YOLO-V5 in the training set all reached 1.00.The mAP_0.5 of YOLO-V5x was 0.95,which was higher than those of YOLO-V5s(0.94),YOLO-V5l(0.94),and YOLO-V5m(0.94).The mAP_0.5:0.95 of YOLO-V5l and YOLO-V5x were 0.85 which were higher than those of YOLO-V5s(0.84)and YOLO-V5m(0.84).Training time and model size were 82.56 hours and 166.00MB for YOLO-V5x which were the highest among the four models.The speed of detection in one im-age was 11ms for YOLO-V5s which was the fastest among the four models.Conclusion YOLO-V5 can accurately identify the packaging of drugs in outpatient and emergency pharmacies.Implementing an artificial-intelligence-assisted drug dispensation sys-tem is feasible for pharmacists to achieve"zero dispensing error".

2.
Chinese Journal of Nursing ; (12): 318-320, 2018.
Article in Chinese | WPRIM | ID: wpr-708740

ABSTRACT

Objective To compare drying methods for dental handpiece,and to provide references and guidance for choosing appropriate handpiece drying methods.Methods Four groups were established according to different methods of drying:vacuum drying,compressed air dryer drying,entire automatic hot cleaner drying,and sterilizing machine drying.Four types (with 50 in each type)of handpieces with the same brand were selected:low-speed straight (EX-6C),low-speed bender (NAC-EC),high speed turbine fast handset,and high speed turbine four hole handset.After cleaning and disinfection,each handpiece was subjected to the aforementioned four drying methods,and the mass was recorded before and after drying.SPSS software was used to calculate and compare the drying rate among these drying methods by analysis of variance.Results There were significant differences in the drying rate among four drying methods(P<0.01).The drying efficiency with vacuum drying was higher than the other three methods.The mean drying efficiency for four types of dentistry handset with vacuum drying method were as follows:low-speed straight(EX-6C)69.93%,low-speed bender(NAC-EC)93.21%,high speed turbine fast handset 92.70%,and high speed turbine four hole handset 94.27%.Conclusion The drying efficiency of vacuum drying method for handset is superior to the other three drying methods.

3.
Article in Chinese | WPRIM | ID: wpr-518583

ABSTRACT

As the patient of hepatitis B and E overlapping infection of liver and gallbladder damp - heat type compared with the patient of simple hepatitis E of liver and gallbladder damp-heat type, attack was very rapid, jaundice exacerbated progressively and hepatic function damaged severely. Aftertreatment the state of illness restored more slowly and the duration of illness was obviously prolonged. At the same time, it was found that the biochemical indexes (hyaluronic acid, total bile acid) increased significantly at acute stage, and the indexes in the patient of overlapping infection in the time for recovering normality at restoration stage was longer than that in the patient of simple hepatitis E, with a significantly difference between the two groups. It is indicated that lesion of the liver in the patient of overlapping infection of hepatitis B and E was more severe than the simple hepatitis E, with no good prognosis.

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