scholarly journals Method for Mid-Long-Term Prediction of Landslides Movements Based on Optimized Apriori Algorithm

2019 ◽  
Vol 9 (18) ◽  
pp. 3819 ◽  
Author(s):  
Wenhao Guo ◽  
Xiaoqing Zuo ◽  
Jianwei Yu ◽  
Baoding Zhou
Keyword(s):  
Prediction Model ◽  
Early Warning ◽  
Computational Efficiency ◽  
Prevention And Control ◽  
Apriori Algorithm ◽  
Mapreduce Framework ◽  
Frequent Item ◽  
And Control ◽  
Frequent Item Sets

In the study of the mid-long-term early warning of landslide, the computational efficiency of the prediction model is critical to the timeliness of landslide prevention and control. Accordingly, enhancing the computational efficiency of the prediction model is of practical implication to the mid-long-term prevention and control of landslides. When the Apriori algorithm is adopted to analyze landslide data based on the MapReduce framework, numerous frequent item-sets will be generated, adversely affecting the computational efficiency. To enhance the computational efficiency of the prediction model, the IAprioriMR algorithm is proposed in this paper to enhance the efficiency of the Apriori algorithm based on the MapReduce framework by simplifying operations of the frequent item-sets. The computational efficiencies of the IAprioriMR algorithm and the original AprioriMR algorithm were compared and analyzed in the case of different data quantities and nodes, and then the efficiency of IAprioriMR algorithm was verified to be enhanced to some extent in processing large-scale data. To verify the feasibility of the proposed algorithm, the algorithm was employed in the mid-long-term early warning study of landslides in the Three Parallel Rivers. Under the same conditions, IAprioriMR algorithm of the same rule exhibited higher confidence than FP-Growth algorithm, which implied that IAprioriMR can achieve more accurate landslide prediction. This method is capable of technically supporting the prevention and control of landslides.

Strengthening of occupational health promotion by the German Prevention Health Care Act

2019 ◽  
pp. 188-190
Author(s):  
Diana Hart
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Promotion ◽  
Primary Prevention ◽  
Occupational Health ◽  
Life Expectancy ◽  
Prevention And Control ◽  
Occupational Health Promotion ◽  
And Control

All countries are faced with the problem of the prevention and control of non-communicable diseases (NCD): implement prevention strategies eff ectively, keep up the momentum with long term benefi ts at the individual and the population level, at the same time tackling hea lth inequalities. Th e aff ordability of therapy and care including innovative therapies is going to be one of the key public health priorities in the years to come. Germany has taken in the prevention and control of NCDs. Germany’s health system has a long history of guaranteeing access to high-quality treatment through universal health care coverage. Th r ough their membership people are entitled to prevention and care services maintaining and restoring their health as well as long term follow-up. Like in many other countries general life expectancy has been increasing steadily in Germany. Currently, the average life expectancy is 83 and 79 years in women and men, respectively. Th e other side of the coin is that population aging is strongly associated with a growing burden of disease from NCDs. Already over 70 percent of all deaths in Germany are caused by four disease entities: cardiovascular disease, cancer, chronic respiratory disease and diabetes. Th ese diseases all share four common risk factors: smoking, alcohol abuse, lack of physical activity and overweight. At the same time, more and more people become long term survivors of disease due to improved therapy and care. Th e German Government and public health decision makers are aware of the need for action and have responded by initiating and implementing a wide spectrum of activities. One instrument by strengthening primary prevention is the Prevention Health Care Act. Its overarching aim is to prevent NCDs before they can manifest themselves by strengthening primary prevention and health promotion in diff erent sett ings. One of the main emphasis of the Prevention Health Care Act is the occupational health promotion at the workplace.

The Research of Improved Apriori Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2179-2184 ◽  
Author(s):  
Zhen Yun Liao ◽  
Xiu Fen Fu ◽  
Ya Guang Wang
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Apriori Algorithm ◽  
Rule Mining ◽  
Frequent Item ◽  
Mining Algorithm ◽  
The Times ◽  
Frequent Item Sets ◽  
Candidate Item ◽  
Improved Algorithm

The first step of the association rule mining algorithm Apriori generate a lot of candidate item sets which are not frequent item sets, and all of these item sets cost a lot of system spending. To solve this problem，this paper presents an improved algorithm based on Apriori algorithm to improve the Apriori pruning step. Using this method, the large number of useless candidate item sets can be reduced effectively and it can also reduce the times of judge whether the item sets are frequent item sets. Experimental results show that the improved algorithm has better efficiency than classic Apriori algorithm.

AFARTICA

2019 ◽  
Vol 30 (3) ◽  
pp. 71-93
Author(s):  
Saubhik Paladhi ◽  
Sankhadeep Chatterjee ◽  
Takaaki Goto ◽  
Soumya Sen
Keyword(s):  
Threshold Value ◽  
Search Space ◽  
Apriori Algorithm ◽  
The Novel ◽  
Novel Technique ◽  
Frequent Item ◽  
Artificial Cell ◽  
Typical Item ◽  
Support Threshold ◽  
Frequent Item Sets

Frequent item-set mining has been exhaustively studied in the last decade. Several successful approaches have been made to identify the maximal frequent item-sets from a set of typical item-sets. The present work has introduced a novel pruning mechanism which has proved itself to be significant time efficient. The novel technique is based on the Artificial Cell Division (ACD) algorithm which has been found to be highly successful in solving tasks that involve a multi-way search of the search space. The necessity conditions of the ACD process have been modified accordingly to tackle the pruning procedure. The proposed algorithm has been compared with the apriori algorithm implemented in WEKA. Accurate experimental evaluation has been conducted and the experimental results have proved the superiority of AFARTICA over apriori algorithm. The results have also indicated that the proposed algorithm can lead to better performance when the support threshold value is more for the same set of item-sets.

scholarly journals Frequently Identified Infection Control Gaps Related to Hand Hygiene in Long-Term Care Facilities

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S407-S407
Author(s):  
Kate Tyner ◽  
Regina Nailon ◽  
Sue Beach ◽  
Margaret Drake ◽  
Teresa Fitzgerald ◽  
...  
Keyword(s):  
Hand Hygiene ◽  
Infection Control ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Long Term Care ◽  
Infection Prevention And Control ◽  
Term Care ◽  
Care Facilities ◽  
And Control

Abstract Background Little is known about hand hygiene (HH) policies and practices in long-term care facilities (LTCF). Hence, we decided to study the frequency of HH-related infection control (IC) gaps and the factors associated with it. Methods The Nebraska (NE) Infection Control Assessment and Promotion Program (ICAP) in collaboration with NE Department of Health and Human Services conducted in-person surveys and on-site observations to assess infection prevention and control programs (IPCP) in 30 LTCF from 11/2015 to 3/2017. The Centers for Disease Control and Prevention (CDC) Infection Prevention and Control Assessment tool for LTCF was used for on-site interviews and the Centers for Medicare and Medicaid (CMS) Hospital IC Worksheet was used for observations. Gap frequencies were calculated for questions (6 on CDC survey and 8 on CMS worksheet) representing best practice recommendations (BPR). The factors studied for the association with the gaps included LTCF bed size (BS), hospital affiliation (HA), having trained infection preventionists (IP), and weekly hours (WH)/ 100 bed spent by IP on IPCP. Fisher’s exact test and Mann Whitney test were used for statistical analyses. Results HH-related IC gap frequencies from on-site interviews are displayed in Figure 1. Only 6 (20%) LTCF reported having all 6 BPR in place and 10 (33%) having 5 BPR. LTCF with fewer gaps (5 to 6 BPR in place) appear more likely to have HA as compared with the LTCF with more gaps but the difference didn’t reach statistical significance (37.5% vs. 7.1%, P = 0.09). When analyzed separately for each gap, it was found that LTCF with HA are more likely to have a policy on preferential use of alcohol based hand rubs than the ones without HA. (85.7%, vs. 26.1% P = 0.008). Several IC gaps were also identified during observations (Figure 2) with one of them being overall HH compliance of <80%. LTCF that have over 90% HH compliance are more likely to have higher median IP WH/100 beds dedicated towards IPCP as compared with the LTCFs with less than 90% compliance (16.4 vs. 4.4, P < 0.05). Conclusion Many HH-related IC gaps still exist in LTCF and require mitigation. Mitigation strategies may include encouraging LTCF to collaborate with IP at local acute care hospitals for guidance on IC activities and to increase dedicated IP times towards IPCP in LTCF. Disclosures All authors: No reported disclosures.

Stroke prevention and control system in China: CSPPC-Stroke Program

2020 ◽  
pp. 174749302091355
Author(s):  
Bao-Hua Chao ◽  
Feng Yan ◽  
Yang Hua ◽  
Jian-Min Liu ◽  
Yi Yang ◽  
...  
Keyword(s):  
Stroke Prevention ◽  
Prevention And Control ◽  
Mainland China ◽  
Stroke Care ◽  
Prevention Project ◽  
Hospital Transfer ◽  
Stroke Center ◽  
And Control

In China, stroke is a major cause of mortality, and long-term physical and cognitive impairment. To meet this challenge, the Ministry of Health China Stroke Prevention Project Committee (CSPPC) was established in April 2011. This committee actively promotes stroke prevention and control in China. With government financial support of 838.4 million CNY, 8.352 million people from 536 screening points in 31 provinces have received stroke screening and follow-up over the last seven years (2012–2018). In 2016, the CSPPC issued a plan to establish stroke centers. To shorten the pre-hospital period, the CSPPC established a stroke center network, stroke map, and stroke “Green Channel” to create three 1-h gold rescue circles, abbreviated as “1-1-1” (onset to call time <1 h; pre-hospital transfer time < 1 h, and door-to-needle time < 1 h). From 2017 to 2018, the median door-to-needle time dropped by 4.0% (95% confidence interval (CI), 1.4–9.4) from 50 min to 48 min, and the median onset-to-needle time dropped by 2.8% (95% CI, 0.4–5.2) from 180 min to 175 min. As of 31 December 2018, the CSPPC has established 380 stroke centers in mainland China. From 1 November 2018, the CSPPC has monitored the quality of stroke care in stroke center hospitals through the China Stroke Data Center Data Reporting Platform. The CSPPC Stroke program has led to a significant improvement in stroke care. This program needs to be further promoted nationwide.

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