Acupoint selection rules in acupuncture therapy for postoperative urinary retention after hemorrhoidectomy based on data mining technology

2021 ◽  
Author(s):  
Qi-jie LI ◽  
Meng-di ZHOU ◽  
Zheng-ting DUAN ◽  
Tai-wei HUANG ◽  
Xin DENG ◽  
...  
Keyword(s):  
Data Mining ◽  
Acupuncture Therapy ◽  
Urinary Retention ◽  
Mining Technology ◽  
Postoperative Urinary Retention ◽  
Selection Rules

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

Framework and performance analysis of college English testing system based on data mining technology

2021 ◽  
pp. 1-11
Author(s):  
Liu Narengerile ◽  
Li Di ◽  
Keyword(s):  
Data Mining ◽  
Test System ◽  
Test Time ◽  
Testing System ◽  
Test Results ◽  
System Software ◽  
Examination System ◽  
Mining Technology ◽  
College English ◽  
And Performance

At present, the college English testing system has become an indispensable system in many universities. However, the English test system is not highly humanized due to problems such as unreasonable framework structure. This paper combines data mining technology to build a college English test framework. The college English test system software based on data mining mainly realizes the computer program to automatically generate test papers, set the test time to automatically judge the test takers’ test results, and give out results on the spot. The test takers log in to complete the test through the test system software. The examination system software solves the functions of printing test papers, arranging invigilation classrooms, invigilating teachers, invigilating process, collecting test papers, scoring and analyzing test papers in traditional examinations. Finally, this paper analyzes the performance of this paper through experimental research. The research results show that the system constructed in this paper has certain practical effects.

scholarly journals Mechanical equipment fault detection applying data mining technology

2020 ◽  
Vol 1684 ◽  
pp. 012024
Author(s):  
Yiqun Liu ◽  
Xiaogang Wang ◽  
Xiaoyuan Gong ◽  
Hua Mu
Keyword(s):  
Data Mining ◽  
Fault Detection ◽  
Mechanical Equipment ◽  
Mining Technology

scholarly journals Postoperative Urinary Retention Following General Anesthesia for Endoscopic Nasal Surgery in Men Aged Older Than 60 Years: A Retrospective Study

2021 ◽  
pp. 014556132110331
Author(s):  
Yong Won Lee ◽  
Bum Sik Kim ◽  
Jihyun Chung
Keyword(s):  
General Anesthesia ◽  
Incidence Rate ◽  
Urinary Retention ◽  
Nasal Surgery ◽  
Prostate Hyperplasia ◽  
Postoperative Urinary Retention ◽  
Asa Classification ◽  
History Of ◽  
Male Patients ◽  
Endoscopic Nasal Surgery

Objectives: Postoperative urinary retention (POUR) is influenced by many factors, and its reported incidence rate varies widely. This study aimed to investigate the occurrence and risk factors for urinary retention following general anesthesia for endoscopic nasal surgery in male patients aged >60 years. Methods: A retrospective review of medical records between January 2015 and December 2019 identified 253 patients for inclusion in our study. Age, body mass index (BMI), a history of diabetes/hypertension, American Society of Anesthesiologists (ASA) classification, and urologic history were included as patient-related factors. Urologic history was subdivided into 3 groups according to history of benign prostate hyperplasia (BPH)/lower urinary tract symptoms (LUTS) and current medication. The following was analyzed as perioperative variables for POUR development: duration of anesthesia and surgery; amount of fluid administered; rate of fluid administration; intraoperative requirement for fentanyl, ephedrine, and dexamethasone; postoperative pain; and analgesic use. Preoperatively measured prostate size and uroflowmetry parameters of patients on medication for symptoms were compared according to the incidence of urinary retention. Results: Thirty-seven (15.7%) patients developed POUR. Age (71.4 vs 69.6 years), BMI (23.9 vs 24.9 kg/m2), a history of diabetes/hypertension, ASA classification, and perioperative variables were not significantly different between patients with and without POUR. Only urologic history was identified as a factor affecting the occurrence of POUR ( P = .03). The incidence rate among patients without urologic issues was 5.9%, whereas that among patients with BPH/LUTS history was 19.8%. Among patients taking medication for symptoms, the maximal and average velocity of urine flow were significantly lower in patients with POUR. Conclusions: General anesthesia for endoscopic nasal surgery may be a potent trigger for urinary retention in male patients aged >60 years. The patient’s urological history and urinary conditions appear to affect the occurrence of POUR.

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