scholarly journals Extracting hidden rules from Brucellosis patients data in Razavi Khorasan province using association rule mining technique

2017 ◽  
Vol 1 (4) ◽  
pp. 128-128
Author(s):  
Soheil Hashtarkhani
Keyword(s):  
Developing Countries ◽  
Expert Opinion ◽  
High Volume ◽  
Algorithm Analysis ◽  
Rule Mining ◽  
Use Of Data ◽  
Significant Relationships ◽  
The Em Algorithm ◽  
Hidden Patterns ◽  
Clinically Significant

Brucellosis is a transmissible disease between humans and animals through infected animals and their products. The disease exists in most parts of the world especially in developing countries. Because of the serious impact of the disease in public health and socio-economical status, controlling the disease is very important in developing countries. The purpose of this article is to identify hidden patterns and relations between brucellosis patients which can be beneficial for physicians in diagnosis process. This study is a retrospective study of data collected from brucellosis patients of Razavi Khorasan province recorded at the health center, have been used. Due to differences in format and number of features collected during different years, before processing operations carried out in several stages to the same data. Fields associated with different methods and with expert opinion was converted into discrete fields and fields lost was estimated using the EM algorithm. APPIORI algorithm analysis was performed using the hidden relationships between data found that significant relationships were infected with expert opinion. Among the 163 relationship with over 7.0 Confidence rate which Weka software was discovered, by the application in consultation with an infectious disease expert, 10 clinically significant relationships were reported. Diagnosing brucellosis is really difficult to physicians because of its vague nature and symptoms. Because many unknown relationships between risk factors and demographic characteristics of the patients, the use of data mining concepts, especially in the medical data is beneficial because usually high volume assumptions are available. Further studies can test the validity of these rules like Randomize Control Trial studies.

scholarly journals Detecting Hidden Patterns from Brucellosis Patients' Data in Khorasan Razavi Province Using Appriori Algorithm

2016 ◽  
Vol 5 ◽  
pp. 26
Author(s):  
Soheil Hashtarkhani ◽  
Ali Akbar Heidari ◽  
Kobra Etminani
Keyword(s):  
High Volume ◽  
Medical Data ◽  
Algorithm Analysis ◽  
Randomize Control Trial ◽  
Use Of Data ◽  
Significant Relationships ◽  
The Em Algorithm ◽  
The World ◽  
Hidden Patterns ◽  
Clinically Significant

Introduction: Brucellosis is a transmissible disease between humans and animals through infected animals and their products.The disease exist in most parts of the world especially in developing countries.because of the serious impact of the disease in public health and socio-economical status, controling the disease is very important in developing countries. The purpose of this article is to identify hidden patterns and relations between brucellosis patients which can be benefitial for physicians in diagnosis process.Material and Methods:  This study is a retrospective study of data collected from brucellosis Khorasan Razavi province recorded at the health center, have been used. Due to differences in format and number of features collected during different years, before processing operations carried out in several stages to the same data. Fields associated with different methods and with expert opinion was converted into discrete fields and fields lost was estimated using the EM algorithm. APPIORI algorithm analysis was performed using the hidden relationships between data found that significant relationships were infected with expert opinion.Results:  Among the 163 relationship with over 7.0 Conficence rate which Weka software was discovered, by the application in consultation with an infectious disease expert, 10 clinically significant relationship was reported.Conclusion: Diagnosig brucellosis is realy difficult to physicions because of its vagious nature and symptoms. Because many unknown relationships between risk factors and demographic characteristics of the patients, the use of data mining concepts, especially in the medical data is beneficial because usually high volume assumptions are available. further studies can test the validity of these rules like Randomize Control Trial studies.

scholarly journals Employee Compensation Strategy as Sustainable Competitive Advantage for HR Education Practitioners

2021 ◽  
Vol 13 (3) ◽  
pp. 1049
Author(s):  
Eungoo Kang ◽  
Hyoyoung Lee
Keyword(s):  
Manufacturing Industry ◽  
Pay For Performance ◽  
Sustainable Competitive Advantage ◽  
Alternative Compensation ◽  
Use Of Data ◽  
Significant Relationships ◽  
The Subject ◽  
Compensation Program ◽  
Employee Competencies ◽  
American Employees

By building on compensation literature, the current study explored and identified the ties between workers’ competencies, corporate cultures, and compensation schemes. These schemes were typically the subject of literature on the factors dealing with the implementation of incentive systems for pay for performance (PFP) or problems that can lead to a PFP system’s failure. Unfortunately, when it comes to research that HR education practitioners may do, the literature has been scarce. It shows which organizational elements might be necessary to examine when deciding whether a PFP or an alternative compensation program is acceptable. This study aimed to add insight into this gap in research. The findings of this study showed from the use of data from 385 American employees in the manufacturing industry that there are significant relationships statistically between employee competencies and organizational cultures and those findings can be corroborated with existing researches, suggesting compensation schemes were related to multiple types of competence organizations and different organization cultures, thus adding meaningfully to the current literature.

scholarly journals Evaluating the Safety and Efficacy of a Highly Viscous 33-mg/mL Hyaluronic Acid Volumizing Filler in the Treatment of Facial Wrinkles: An Open-Labeled, Clinical Trials

2019 ◽  
Vol 8 ◽  
pp. e1148
Author(s):  
Elnaz Razavian ◽  
Setareh Tehrani
Keyword(s):  
Hyaluronic Acid ◽  
High Volume ◽  
Soft Tissue Augmentation ◽  
Nodule Formation ◽  
Safety And Efficacy ◽  
Significant Correction ◽  
Clinically Significant ◽  
One Year ◽  
First Time

Background: The 33-mg/mL hyaluronic acid (HA) formulation is a highly concentrated, cross-linked, cohesive, smooth, and completely reversible volumizing filler approved by Conformité Européene. For the first time, we aimed to evaluate the long-term efficacy and safety of the 33-mg/mL HA filler for soft tissue augmentation in the treatment of facial wrinkles. Materials and Methods: After optimal wrinkle correction was achieved in the patients undergoing treatment by injecting the 33-mg/mL HA filler at the injection site plus one touch-up at a 2-week interval, the safety and efficacy of the filler were assessed on the 5-point Facial Volume Loss Scale through the 1-year study period. Patients were evaluated daily for 14 days and after 6 and 12 months post-treatment. Results: A total of 86 subjects were treated. The mean wrinkle scores of the patients were 3.95+0.79 (range of 3-5) before treatment, 2.3+0.94 (range 1-5) six months after treatment, and 2.93+1.29 (range of 1-5) one year after treatment. Clinically significant mean wrinkle correction (P=0.001) was still evident at>12 months of treatment through 33-mg/mL HA formulation. A clinically significant correction at>12 months after treatment was maintained by 79% of patients. Nodule formation and swelling were more frequent when the 33-mg/mL HA filler was used compared with the use of less concentrated HA fillers. One patient developed angioedema-like swelling and induration last few months. Conclusion: The 33-mg/mL HA filler can provide long-term correction lasting for one year or more. Adverse effects, especially swelling and nodule formation were more common in this filler compared with less concentrated HA fillers. The side effects were correlated with the volume of the injected filler. We recommend using this concentration with low volume or combining high volume with lower concentration. [GMJ.2019;8:e1148]

scholarly journals Centralisation of Oesophagogastric Cancer Services: Can Specialist Units Deliver?

2006 ◽  
Vol 88 (6) ◽  
pp. 566-570 ◽  
Author(s):  
MJ Forshaw ◽  
JA Gossage ◽  
J Stephens ◽  
D Strauss ◽  
AJ Botha ◽  
...  
Keyword(s):  
Postoperative Morbidity ◽  
Survival Rates ◽  
Length Of Hospital Stay ◽  
High Volume ◽  
Cardiovascular Complications ◽  
Pulmonary Complications ◽  
Minimal Impact ◽  
Cancer Services ◽  
Clinically Significant ◽  
Oesophagogastric Cancer

INTRODUCTION Oesophagogastric cancer surgery is increasingly being performed in only centralised units. The aim of the study was to examine surgical outcomes and service delivery within a specialist unit. PATIENTS AND METHODS The case notes of all patients undergoing attempted oesophagogastrectomy between January 2000 and May 2003 were identified from a prospective consultant database. RESULTS A total of 187 patients (median age, 63 years; range, 29–83 years; M:F ratio, 3.9:1) underwent attempted oesophagogastrectomy. Of these, 91% were seen within 2 weeks of referral and treatment was instituted after a mean of 31 days (range, 1–109 days). More patients underwent surgery (63%) than neoadjuvant therapy (56%) within 1 month of referral. The main indication for surgery was invasive malignancy in 166 patients (89%). The 30-day mortality was 0.5% (1 death) and in-hospital mortality was 1.1% (2 deaths). The median length of hospital stay was 14 days (range, 7–69 days). Significant postoperative morbidity included: pulmonary complications (36%), cardiovascular complications (16%), wound infection (13%) and clinically significant anastomotic leaks (7%). Of the study group, 28 patients (15%) were admitted to ICU with a median stay of 10 days (range, 1–44 days); this accounted for 0.9% of ICU bed availability. Twelve patients (6.4%) were returned to theatre, most commonly for bleeding. The 1-year survival rates were 78%. During 2002–2003, national waiting list targets for both hernia repair and cholecystectomy were achieved. CONCLUSIONS Despite recent increases in workload, high volume specialist units can deliver an efficient and timely service with both good treatment outcomes and minimal impact upon elective surgical waiting lists and ICU provision.

scholarly journals High-volume surgery in developing countries

Eye ◽  
2005 ◽  
Vol 19 (10) ◽  
pp. 1083-1089 ◽  
Author(s):  
D Yorston
Keyword(s):  
Developing Countries ◽  
High Volume

scholarly journals Mining interactions in immersive learning environments for real-time student feedback

2013 ◽  
Vol 29 (2) ◽  
Author(s):  
Gregor Kennedy ◽  
Ioanna Ioannou ◽  
Yun Zhou ◽  
James Bailey ◽  
Stephen O'Leary
Keyword(s):  
Real Time ◽  
Learning Environments ◽  
Learning Analytics ◽  
Learning Systems ◽  
Student Feedback ◽  
Formative Feedback ◽  
Digital Data ◽  
Online Interactions ◽  
Use Of Data ◽  
Hidden Patterns

<p>The analysis and use of data generated by students’ interactions with learning systems or programs – learning analytics – has recently gained widespread attention in the educational technology community. Part of the reason for this interest is based on the potential of learning analytic techniques such as data mining to find hidden patterns in students’ online interactions that can be meaningfully interpreted and then fed back to students in a way that supports their learning. In this paper we present an investigation of how the digital data records of students’ interactions within an immersive 3D environment can be mined, modeled and analysed, to provide real-time formative feedback to students as they complete simulated surgical tasks. The issues that emerged in this investigation as well as areas for further research and development are discussed.</p>

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