Design and implementation of medication recommending system for chronic hepatitis B / 医疗卫生装备

Objective To design and implement a medication recommending system for chronic hepatitis B (CHB) in order to predict CHB inpatient clinical medication.Methods The system was designed and realized with improved ML-KNN algorithm,training the multi-label data set extracted from HIS database,Java framework technology as well as MyEclipse9.0 platform.Results The system could predict the clinical medication of the CHB inpatient,and enhanced the CHB inpatient satisfaction greatly.Conclusion The system is of practical value for the the clinical medication of the CHB inpatient,and thus is worthy promoting practically.

Design and implementation of medication recommending system for chronic hepatitis B / 医疗卫生装备

Objective To design and implement a medication recommending system for chronic hepatitis B (CHB) in order to predict CHB inpatient clinical medication.Methods The system was designed and realized with improved ML-KNN algorithm,training the multi-label data set extracted from HIS database,Java framework technology as well as MyEclipse9.0 platform.Results The system could predict the clinical medication of the CHB inpatient,and enhanced the CHB inpatient satisfaction greatly.Conclusion The system is of practical value for the the clinical medication of the CHB inpatient,and thus is worthy promoting practically.

Reformation and exploration of selective courses optimization in computer class for medical colleges based on Java language / 中华医学教育探索杂志

Computer selective courses in medical colleges based on C language are facing many problems. First, C language lacks continuity with follow-up courses and well combines with professional courses, which result in loss of interest of students and few students would like choose this selective course. Second, the computer selective courses are miscellaneous and discontinuous, which occupies much time and therefore necessitate integration and optimization. The reformations and implementation schemes are proposed to optimize computer selective courses based on Java language. On the one land, different computer selective courses are optimized, credit hours are compressed, and selective interests of the students are improved. In addition, the practicability and scalability of computer selective courses are enhanced combining the characteristics of medical science specialty.