scholarly journals Microbiological Monitoring of the Environment Using the “Association Rules” Approach and Disinfection Procedure Evaluation in a Hospital Center in Morocco

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Rachid Flouchi ◽  
Abderrahim Elmniai ◽  
Mohamed El Far ◽  
Ibrahim Touzani ◽  
Naoufal El Hachlafi ◽  
...  
Keyword(s):  
Association Rules ◽  
Medical Devices ◽  
Culture Media ◽  
Strong Association ◽  
Hospital Environment ◽  
Microbiological Monitoring ◽  
Disinfection Procedure ◽  
Physiological Tests ◽  
Rules Extraction ◽  
Extraction Model

Background. The hospital environment, especially surfaces and medical devices, is a source of contamination for patients. Objective. This study carried out, to the best of our knowledge, for the first time at Taza Hospital in Morocco aimed to assess the microbiological quality of surfaces and medical devices in surgical departments and to evaluate the disinfection procedure in time and space. Methods. Samples were taken by swabbing after cleaning the hospital surface or medical device, to isolate and identify germs which were inoculated on semiselective culture media then identified by standard biochemical and physiological tests, using the analytical profile index (API) galleries. Moreover, the association rules extraction model between sites on the one hand and germs on the other hand was used for sampling. Results. The study showed that 83% of the samples have been contaminated after biocleaning. The most contaminated services have been men’s and women’s surgeries. 62% of isolated germs have been identified as Gram-positive bacteria, 29% as Gram-negative bacteria, and 9% as fungi. Concerning the association rules extraction model, a strong association between some contaminated sites and the presence of germ has been found, such as the association between wall and nightstand and door cuff, meaning that the wall and nightstand contamination is systematically linked to that of the door cuff. The disinfection procedure efficacy evaluation has enabled suggesting renewing it each 4 h. Conclusion. Microbiological monitoring of surfaces is necessary at hospital level through the use of the association rule extraction model, which is very important to optimize the sampling, cleaning, and disinfection site scenarios of the most contaminated ones.

Appointment of Antimicrobial Medications in a Hospital Depending on the Results of Microbiological Monitoring of HAI

2020 ◽  
Vol 65 (9-10) ◽  
pp. 21-27
Author(s):  
S. D. Mitrokhin ◽  
O. E. Orlova ◽  
I. V. Gosteva ◽  
A. S. Shkoda
Keyword(s):  
Therapy Monitoring ◽  
Hospital Environment ◽  
Antimicrobial Drugs ◽  
Microbiological Monitoring ◽  
Medical Institutions ◽  
Extreme Drug Resistance ◽  
Microbiological Laboratory ◽  
The Russian Federation ◽  
Medical Programs ◽  
Epidemiological Situation

One of the tasks of the hospital-s clinical pharmacologists service is to continuously monitor the consumption of antimicrobial drugs (DDD analysis) depending on the microbiological and epidemiological situation in the hospital. This is necessary for the implementation of various medical programs and technologies aimed at reducing the selection pressure of antimicrobial drugs and reducing the risk of the emergence, accumulation, and spread of bacteria strains with multiple and/or extreme drug resistance to these drugs in the hospital environment. To date, some medical institutions, especially in the various regions of the Russian Federation, do not have a proper team of clinical pharmacologists and a modern, well-equipped and computerized microbiological laboratory. This does not allow full implementation of the above-mentioned programs in such hospitals, e. g. Antimicrobial therapy monitoring system — SСAT and technologies, e. g. «carbapenem-preserving technologies» and «microbiological monitoring».

scholarly journals Surface Immobilization of Nano-Silver on Polymeric Medical Devices to Prevent Bacterial Biofilm Formation

Pathogens ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 93 ◽  
Author(s):  
Riau ◽  
Aung ◽  
Setiawan ◽  
Yang ◽  
Yam ◽  
...  
Keyword(s):  
Medical Devices ◽  
Biofilm Formation ◽  
Culture Media ◽  
Silver Ions ◽  
Bacterial Biofilm ◽  
Surface Immobilization ◽  
Nano Silver ◽  
Gram Positive Bacteria ◽  
Tissue Microenvironment

: Bacterial biofilm on medical devices is difficult to eradicate. Many have capitalized the anti-infective capability of silver ions (Ag+) by incorporating nano-silver (nAg) in a biodegradable coating, which is then laid on polymeric medical devices. However, such coating can be subjected to premature dissolution, particularly in harsh diseased tissue microenvironment, leading to rapid nAg clearance. It stands to reason that impregnating nAg directly onto the device, at the surface, is a more ideal solution. We tested this concept for a corneal prosthesis by immobilizing nAg and nano-hydroxyapatite (nHAp) on poly(methyl methacrylate), and tested its biocompatibility with human stromal cells and antimicrobial performance against biofilm-forming pathogens, Pseudomonas aeruginosa and Staphylococcus aureus. Three different dual-functionalized substrates—high Ag (referred to as 75:25 HAp:Ag); intermediate Ag (95:5 HAp:Ag); and low Ag (99:1 HAp:Ag) were studied. The 75:25 HAp:Ag was effective in inhibiting biofilm formation, but was cytotoxic. The 95:5 HAp:Ag showed the best selectivity among the three substrates; it prevented biofilm formation of both pathogens and had excellent biocompatibility. The coating was also effective in eliminating non-adherent bacteria in the culture media. However, a 28-day incubation in artificial tear fluid revealed a ~40% reduction in Ag+ release, compared to freshly-coated substrates. The reduction affected the inhibition of S. aureus growth, but not the P. aeruginosa. Our findings suggest that Ag+ released from surface-immobilized nAg diminishes over time and becomes less effective in suppressing biofilm formation of Gram-positive bacteria, such as S. aureus. This advocates the coating, more as a protection against perioperative and early postoperative infections, and less as a long-term preventive solution.

Features of use in practical health care of the device «Multi-layer mat with an adhesive surface according to TA 32.50.50-009-21109965-2019, WITH ACCESSORIES»

2021 ◽  
pp. 70-75
Author(s):  
Viktor Yurievich Kozlov ◽  
Larisa Arkadyevna Karaseva
Keyword(s):  
Health Care ◽  
Healthcare Professional ◽  
Medical Devices ◽  
Health Needs ◽  
Hospital Environment ◽  
Healthcare Industry ◽  
Adhesive Surface

A safe hospital environment should fully provide the patient and healthcare professional with the comfort and safety conditions that effectively address vital health needs. To this end, medical devices are manufactured for the healthcare industry to ensure the safety of the hospital environment for patients and medical workers [2, 3].

Mining redundant industrial alarm occurrences with association rules extraction and complex networks modeling

2011 ◽  
Vol 11 (s1) ◽  
pp. S15-S28 ◽  
Author(s):  
Leandro Pfleger de Aguiar ◽  
Virgilio A. F. de Almeida ◽  
Wagner Meira, Jr.
Keyword(s):  
Complex Networks ◽  
Association Rules ◽  
Rules Extraction

Finding Persistent Strong Rules

2010 ◽  
pp. 85-107
Author(s):  
Anthony Scime ◽  
Karthik Rajasethupathy ◽  
Kulathur S. Rajasethupathy ◽  
Gregg R. Murray
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Strong Association ◽  
National Election ◽  
Data Sets ◽  
Rule Discovery ◽  
Discovery Process ◽  
Data Set ◽  
Rule Sets ◽  
Election Studies

Data mining is a collection of algorithms for finding interesting and unknown patterns or rules in data. However, different algorithms can result in different rules from the same data. The process presented here exploits these differences to find particularly robust, consistent, and noteworthy rules among much larger potential rule sets. More specifically, this research focuses on using association rules and classification mining to select the persistently strong association rules. Persistently strong association rules are association rules that are verifiable by classification mining the same data set. The process for finding persistent strong rules was executed against two data sets obtained from the American National Election Studies. Analysis of the first data set resulted in one persistent strong rule and one persistent rule, while analysis of the second data set resulted in 11 persistent strong rules and 10 persistent rules. The persistent strong rule discovery process suggests these rules are the most robust, consistent, and noteworthy among the much larger potential rule sets.

Association Rules Mining Based on Adaptive Fuzzy Clustering Algorithm

2014 ◽  
Vol 998-999 ◽  
pp. 842-845 ◽  
Author(s):  
Jia Mei Guo ◽  
Yin Xiang Pei
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Clustering Algorithm ◽  
Original Data ◽  
Data Set ◽  
Association Rules Mining ◽  
Fuzzy Association Rules ◽  
Redundant Data ◽  
Fuzzy Partitions ◽  
Rules Extraction

Association rules extraction is one of the important goals of data mining and analyzing. Aiming at the problem that information lose caused by crisp partition of numerical attribute , in this article, we put forward a fuzzy association rules mining method based on fuzzy logic. First, we use c-means clustering to generate fuzzy partitions and eliminate redundant data, and then map the original data set into fuzzy interval, in the end, we extract the fuzzy association rules on the fuzzy data set as providing the basis for proper decision-making. Results show that this method can effectively improve the efficiency of data mining and the semantic visualization and credibility of association rules.

Characterizing the 2.4 GHz Spectrum in a Hospital Environment: Modeling and Applicability to Coexistence Testing of Medical Devices

2017 ◽  
Vol 59 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Mohamad Omar Al Kalaa ◽  
Walid Balid ◽  
Hazem H. Refai ◽  
Nickolas J. LaSorte ◽  
Seth J. Seidman ◽  
...  
Keyword(s):  
Medical Devices ◽  
Hospital Environment ◽  
Environment Modeling

An object extraction model using association rules and dependence analysis

2001 ◽  
Vol 6 (1-2) ◽  
pp. 405-409
Author(s):  
Li Shen-zhi ◽  
Chen Zhen-qiang ◽  
Zhou Yu-ming ◽  
Xu Bao-wen
Keyword(s):  
Association Rules ◽  
Object Extraction ◽  
Dependence Analysis ◽  
Extraction Model

scholarly journals Association analysis in food sampling inspection data

2022 ◽  
Vol 355 ◽  
pp. 02033
Author(s):  
Tongqiang Jiang ◽  
Xin Chen ◽  
Huan Jiang
Keyword(s):  
Association Analysis ◽  
Association Rules ◽  
Strong Association ◽  
Apriori Algorithm ◽  
Work Efficiency ◽  
Food Category ◽  
Sampling Inspection ◽  
Inspection Data ◽  
The Cost

At present, China exists a problem that the cost of food sampling inspection is too high. This paper attempts to reduce the number of sampling inspection items in the same food category, reduce the cost of food sampling inspection, and improve the work efficiency through the association analysis of national sampling inspection data. And this paper applies Apriori algorithm to analyse the association rules, which is based on the unqualified pastry sampling inspection data in the 2019 national food sampling inspection database. Finally, we obtain 10 strong association rules through experiments. The results show that this association analysis can reduce the workload of food sampling inspection effectively.

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