scholarly journals Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever

2019 ◽  
Vol 6 (1) ◽  
pp. 1-11
Author(s):  
Muhamad Nasrul Fata ◽  
Riza Arifudin ◽  
Budi Prasetiyo
Keyword(s):  
Genetic Algorithms ◽  
Typhoid Fever ◽  
Optimization Problem ◽  
Fuzzy Optimization ◽  
Medical Record Data ◽  
A Value ◽  
Neuro Fuzzy ◽  
Number Of Patients ◽  
Record Data ◽  
The Subject

Neuro Fuzzy is one method in the field of information technology used in diagnosing an disease. The application of Neuro Fuzzy is to identify disease. Genetic algorithms can be used to find solutions without paying attention to the subject matter specifically, one of which is an optimization problem. Typhoid or typhoid fever is a disease caused by Salmonella enterica bacteria, especially its derivatives. The diagnosis of typhoid fever is not an easy thing to do. This is because some of the indications experienced by patients also appear in other diseases. The number of patients with typhoid fever that requires accuracy in diagnosing typhoid fever based on indications caused. Based on this background this study aims to assist in the diagnosis of typhoid fever with 11 indication variables. This study uses medical record data for typhoid fever in 2017 Tidar Magelang Hospital. The method used is Neuro Fuzzy which optimizes the value of the degree of membership with genetic Algorithms. Then the value of the degree of neuro fuzzy membership is more optimal. The results of this optimization are the diagnosis of typhoid fever based on the variable of indications entered. From the research results obtained from the neuro fuzzy method get an 80% accuracy value and neuro fuzzy optimization results with genetic algorithms with a value of pc 0.5, pm 0.2 and max generation 25 the value of accuracy increases to 90%. Suggestions from this study, need to add more specific indication variables.

GA-Based Multi-Objective Fuzzy Matter-Element Optimization

2002 ◽  
Author(s):  
Yanwei Zhao ◽  
Ertian Hua ◽  
Guoxian Zhang ◽  
Fangshun Jin
Keyword(s):  
Genetic Algorithms ◽  
Optimization Problem ◽  
Fuzzy Optimization ◽  
Optimization Methods ◽  
Optimization Criterion ◽  
Multi Objective ◽  
Simple Genetic Algorithms ◽  
Solving Strategy ◽  
Crossover And Mutation ◽  
Better Than

The solving strategy of GA-Based Multi-objective Fuzzy Matter-Element optimization is put forward in this paper to the kind of characters of product optimization such as multi-objective, fuzzy nature, indeterminacy, etc. Firstly, the model of multi-objective fuzzy matter-element optimization is created in this paper, and then it defines the matter-element weightily and changes solving multi-objective optimization into solving dependent function K(x) of the single objective optimization according to the optimization criterion. In addition, modified adaptive macro genetic algorithms (MAMGA) are adopted to solve the optimization problem. It emphatically modifies crossover and mutation operator. By the comparing MAMGA with adaptive macro genetic algorithms (AMGA), not only the optimization is a little better than the latter, but also it reaches the extent to which the effective iteration generation is 62.2% of simple genetic algorithms (SGA). Lastly, three optimization methods, namely fuzzy matter-element optimization, linearity weighted method and fuzzy optimization, are also compared. It certifies that this method is feasible and valid.

Influential Factors in The Law Enforcement Process of Sexual Violence Cases in Children in The City of Semarang

SOEPRA ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 4
Author(s):  
Liya Suwarni
Keyword(s):  
Law Enforcement ◽  
Sexual Violence ◽  
Medical Record ◽  
Child Protection ◽  
Influential Factors ◽  
Medical Record Data ◽  
Violence Against Children ◽  
Record Data ◽  
The Law ◽  
The City

Background. Cases of sexual violence increase every year, victims ranging from adolescents, children to toddlers. Based on data from the Indonesian Child Protection Commission, abuse and violence against children in Indonesia in 2013 were 23 cases, in 2014 there were 53 cases, in 2015 there were 133 cases, 2017 reached 1,337 cases, and as of July 2018 there were 424 cases. Purpose. Knowing the factors that influence the law enforcement process of sexy violence cases in Semarang City. Method This study uses descriptive analytical methods for cases of violence against children, based on medical record data in hospitals, documents in Mapolrestabes, the District Attorney's Office and the Semarang City Court for the period of January 2015 to December 2018. Results. Based on research results obtained 213 experimental cases section from medical record data in hospitals in the city of Semarang. Most cases of child abuse occurred in 2018 with 72 cases. Most victims are 12-14 years old age group, female. Most types of cases are cases of intercourse. The majority of violations are persons known as victims, perpetrators not working, and most of the places of occurrence are in the defendant's house. At the time of prosecution and trial, the number of cases was significantly reduced to only 8 cases. Factors related to this include lack of evidence, difficulty in obtaining information from victims, convoluted statements of coverage, lack of election, and obtaining diversion rates. Conclusion Cases of sexual violence have increased from year to year. The process of law enforcement on this problem still has many difficulties in each manufacturing process which is still difficult to overcome.

scholarly journals Gap between real-world data and clinical research within hospitals in China: a qualitative study

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e038375
Author(s):  
Feifei Jin ◽  
Chen Yao ◽  
Xiaoyan Yan ◽  
Chongya Dong ◽  
Junkai Lai ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Clinical Research ◽  
Real World ◽  
Data Standards ◽  
Medical Record Data ◽  
Real World Data ◽  
World Data ◽  
Electronic Medical Record Data ◽  
Research Platform ◽  
Record Data

ObjectiveTo investigate the gap between real-world data and clinical research initiated by doctors in China, explore the potential reasons for this gap and collect different stakeholders’ suggestions.DesignThis qualitative study involved three types of hospital personnel based on three interview outlines. The data analysis was performed using the constructivist grounded theory analysis process.SettingSix tertiary hospitals (three general hospitals and three specialised hospitals) in Beijing, China, were included.ParticipantsIn total, 42 doctors from 12 departments, 5 information technology managers and 4 clinical managers were interviewed through stratified purposive sampling.ResultsElectronic medical record data cannot be directly downloaded into clinical research files, which is a major problem in China. The lack of data interoperability, unstructured electronic medical record data and concerns regarding data security create a gap between real-world data and research data. Updating hospital information systems, promoting data standards and establishing an independent clinical research platform may be feasible suggestions for solving the current problems.ConclusionsDetermining the causes of gaps and targeted solutions could contribute to the development of clinical research in China. This research suggests that updating the hospital information system, promoting data standards and establishing a clinical research platform could promote the use of real-world data in the future.

Intradermal reaction with typhoid fever

1927 ◽  
Vol 23 (12) ◽  
pp. 1288-1288
Keyword(s):  
Typhoid Fever ◽  
Intradermal Test ◽  
Number Of Patients ◽  
Technical Simplicity ◽  
Typhoid Toxin

Having applied an intradermal test with typhoid toxin in a significant number of patients suffering from both typhoid fever and other acute febrile illnesses, Alisov and Morozkin came to the conclusion that this reaction is diagnostically equivalent to Widala's reaction, surpassing the latter in the speed of detection and greater technical simplicity.

scholarly journals Performance analysis of AES-Blowfish hybrid algorithm for security of patient medical record data

2018 ◽  
Vol 1007 ◽  
pp. 012018 ◽  
Author(s):  
Amir Mahmud H ◽  
Bayu Angga W ◽  
Tommy ◽  
Andi Marwan E ◽  
Rosyidah Siregar
Keyword(s):  
Performance Analysis ◽  
Medical Record ◽  
Hybrid Algorithm ◽  
Medical Record Data ◽  
Patient Medical Record ◽  
Record Data
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