scholarly journals Penerapan Algoritma Neural Network Untuk Klasifikasi Kardiotokografi

2018 ◽  
Vol 5 (1) ◽  
pp. 43-49
Author(s):  
Yudi Ramdhani ◽  
Sari Susanti ◽  
Miftah Farid Adiwisastra ◽  
Salman Topiq

Abstrak Kardiotokografi adalah metode investigasi yang paling disukai, dalam pemerhati penggunaan kesejahteraan janin yang praktis. Informasi yang diperoleh dari kardiotokografi, digunakan untuk mengidentifikasi awal keadaan patologis (gangguan pada janin, perkembangan penyakit pada janin atau hipoksia dan lain-lain). Organisasi Kesehatan Dunia atau WHO (World Health Organization) memperkirakan sekitar 15% dari seluruh wanita hamil akan berkembang menjadi komplikasi yang berkaitan dengan kehamilannya dan dapat mengakibatkan kematian ibu dan janin. Teknologi data mining merupakan salah satu alat bantu untuk mengoptimalkan data pada basis data yang berukuran besar, Data mining medis memiliki potensi besar untuk dipelajari pola-pola yang tersembunyi dalam kumpulan data utama medis. Dataset Kardiotokografi memiliki fitur/atribut sebanyak 36 dan diklasifikasikan menjadi 3 kelas yaitu : kelas Normal, kelas Suspect, dan kelas Pathologic dengan record sebanyak 2126. Metode Neural network dapat mengklasifikasi kardiotokografi dengan baik dibuktikan dengan nilai akurasi yang tinggi yaitu sebesar 99,15%, serta dapat membantu user untuk mengambil keputusan selanjutnya pada Karditokografi tersebut. Kata kunci: Kardiotokografi, Data Mining, Neural network Absract Kardiotokografi is the most preferred method of investigation, in the use of fetal well being observers. Information obtained from kardiotokografi, used to identify the initial state of the pathological (disorders of the fetus, the development of fetal disease or hypoxia and others). World Health Organization estimates approximately 15% of all pregnant women will develop into complications related to her pregnancy and can lead to the death of the mother and the fetus. The technology of data mining is one of the tools for optimizing the data in the data base of large-sized medical. Data mining, has great potential to learn the patterns that are hidden in the main medical data sets. Kardiotokografi DataSet features/attributes as much as 36 and are classified into three classes as follows: Normal class, class Suspect and Pathologic class with the record as much as 2126. Neural network method of classifying kardiotokografi can properly evidenced by high accuracy value of 99,15%, and can help the user to take decisions on the Karditokografi. Keywords: Kardiotokografi, Data Mining, Neural network

2018 ◽  
Vol 7 ◽  
Author(s):  
Christine Peta

In 2016, the World Health Organization, through the Global Cooperation on Assistive Technology Initiative, issued the Priority Assistive Products List which is meant to be a guide to member states of the 50 assistive products needed for a basic health care and/or social welfare system; it is also a model from which nations can develop their national priority assistive products lists. The aim of this opinion paper is to share my views about the Priority Assistive Products List on the grounds that it makes no distinct mention of sexual assistive devices, yet research has indicated that sexuality is an area of great concern for persons with disabilities. In any case, sexuality forms a core part of being human, and it impacts on both the physical and mental well-being of all human beings. I conclude in part that, in its present format, the list perpetuates the myth that persons with disabilities are asexual beings who are innocent of sexual thoughts, feelings and experiences. The list also propagates the stereotype that sexuality is a sacred, private, bedroom matter that should be kept out of the public domain, to the detriment of the health and well-being of persons with disabilities.


2019 ◽  
Vol 11 (2) ◽  
pp. 76-83
Author(s):  
Jesmin Sultana ◽  
Muhammad Rabiul Hossain ◽  
Nurun Nahar Fatema Begum ◽  
Nure Ishrat Nazme

 Breastfeeding has been accepted as the most vital intervention for reducing infant mortality and ensuring optimal growth and development of children. Breastfeeding is also considered as the most economical and easily accessible complete nutrition for every new born child1. Poor breastfeeding practices are widespread. It is estimated that sub-optimal breastfeeding, especially non-exclusive breastfeeding in the first 6 months of life, results in 1.4 million deaths and 10% of the disease burden in children younger than 5 years of age2. Reviews of studies from developing countries showed that infants who were not breast fed were 6 to 10 times more likely to die in the first months of life than infants who are breast fed3. The World Health Organization has stated that in 2000, only 16% of mothers in Pakistan exclusively breast feed for a period of three months, as compared to other developing countries where the ratio is higher like Bangladesh (46%), India (37%), and Sri Lanka (84%)4. More than 15% of 24 lakh child deaths could be averted in India by optimal breastfeeding practices5. The key to successful breastfeeding is Information, Education and Communication (IEC) strategies aimed at behavior change6. The World Health Organization (WHO) and United Nations Children’s Fund (UNICEF) strongly recommends exclusive breastfeeding (EBF) for the first six months of life7. Variables that may influence breastfeeding include race, maternal age, maternal employment, level of education of parents, socio-economic status, insufficient milk supply, infant health problems, method of delivery, maternal interest and other related related factors8,9. Over the last decade, overwhelming scientific evidence supporting the integral role of breastfeeding in the survival, growth and development of a child, as well as the health and well-being of a mother has come to light10. Different studies were designed at national and international level to explore the knowledge, attitude and practices (kap) towards breastfeeding among postnatal mothers and factors that determine them1. Journal of Armed Forces Medical College Bangladesh Vol.11(2) 2015: 76-83


2012 ◽  
Vol 127 (4) ◽  
pp. 331-331 ◽  
Author(s):  
C.-H. Lin ◽  
S.-M. Lee ◽  
B.-J. Wu ◽  
L.-S. Huang ◽  
H.-J. Sun ◽  
...  

2020 ◽  
Vol 73 (suppl 1) ◽  
Author(s):  
Patricia Dias Francisquini ◽  
Marcos Hirata Soares ◽  
Fernanda Pamela Machado ◽  
Margarita Antonia Villar Luis ◽  
Julia Trevisan Martins

ABSTRACT Objective: To measure and correlate the degree of psychological well-being, quality of life, and dispositional hope in family caregivers of schizophrenic people. Methods: Descriptive cross-sectional study conducted with 117 relatives of schizophrenic people. We applied a questionnaire of sociodemographic variables was applied, and the instruments World Health Organization 5-Item Well-Being (WHO-5), World Health Organization Quality of Life Abbreviated (WHOQOL-Bref), and Dispositional Hope Scale. We used The Kruskal Wallis, Jonckheere-Terpstra, and Spearman correlation tests at the level α <0.05. Results: It was possible to observe statistical significance when comparing schooling and age with Disposal Hope; and when comparing the scales used. Conclusion: The study considered that well-being, quality of life, and hope are variables that negatively influence caregiver burden, suggesting schooling as an inverse correlation variable with Dispositional Hope.


2021 ◽  
Vol 22 (1) ◽  
pp. 103-120
Author(s):  
Zsidó N. András ◽  
Arató Nikolett ◽  
Inhóf Orsolya ◽  
Budai Timea ◽  
Stecina T. Diána ◽  
...  

Bevezetés: A bizonytalanságintolerancia egy egyén alapvető képtelenségét jelenti a negatív események előfordulásának, valamint az ilyen események be nem jósolhatóságának elvi­ selésére. Az ebből fakadó állandósult stressz és túlzott aggodalom súlyos fizikai és men­ tális problémákhoz vezethet. Korábbi tanulmányok eredményei szerint a jelenség a szo­ rongásos és a depresszív pszichiátriai zavarok alapja lehet. Célkitűzés: A jelen tanulmány célja a Bizonytalanságintolerancia Skála rövidített változatának pszichometriai elemzése egy megfelelően nagy és az életkor szempontjából diverz magyar anyanyelvű mintán. Módszer: A keresztmetszeti kutatás keretében összesen 1297 fő (300 férfi és 993 nő, 4 fő nem válaszolt) töltötte ki a kérdőívcsomagot. A résztvevők átlagéletkora 44,6 év (SD = 22,44 év; terjedelem: 18–83 év). A rövidített Bizonytalanságintolerancia Skála mellett a résztve­ vők kitöltötték a World Health Organization Jól-lét Indexet, valamint a Beck Depresszió Leltár és a Spielberger-féle Vonásszorongás Skála rövidített változatát. A Bizonytalanság­ intolerancia Skála pszichometriai mutatóit klasszikus és modern tesztelméleti mód­ szerekkel is ellenőriztük. Eredmények: A Bizonytalanságintolerancia Skála megfelelő pszichometriai mutatókkal rendelkezik a vizsgált magyar mintán (McDonald­ω = 0,82 és 0,84). A kérdőív tételei jól diszkriminálnak a látens változó különböző szintjeivel rendel­ kező kitöltők között, és a kérdőív összességében megbízhatóan mér meglehetősen nagy szórástartományban (±2 szórás); tehát a bizonytalanságtűrés képességéről a populáció hozzávetőlegesen 95%-án képes információt szolgáltatni. A kérdőív skálái és összpontszáma az elvártak szerint összefüggést mutatnak rokon konstruktumokkal, mint pl. szorongás (r = 0,22–0,36; p < 0,001) és depresszió (r = 0,26–0,40; p < 0,001). Következtetések: Összességében a Bizonytalanságintolerancia Skála rövid változata magyar mintán is megbízható és érvényes kérdőív. Alkalmazható lehet a mentális egészség fejlesztése, a szorongás és a depresszió prevenciójára, valamint terápiás hatékonyságvizsgálat so­ rán is.Introduction: Intolerance of uncertainty refers to an individual’s fundamental inability to tolerate the occurrence of negative events as well as the unpredictability of such events. The resulting constant stress and excessive worry can lead to severe physical and mental problems. Previous studies suggest that it can serve as the root of anxiety and depression related psychiatric disorders. Aim: The aim of the present study was to present the psychometric properties of the short version of the Intolerance of Uncertainty Scale in a sufficiently large and age­diverse Hungarian sample. Method: A total of 1297 respondents (300 men and 993 women, 4 chose not to answer) completed the survey. The mean age of the participants was 44.63 years (SD = 22.44 years; range = 18–83 years). In addition to the Intolerance of Uncertainty Scale, participants completed the World Health Organization Well-Being Index, and the short versions of the Beck Depression Inventory, and the Spielberger Trait Anxiety Scale. The psychometric properties of the shortened Intolerance of Uncertainty Scale were tested using classical and modern test theory methods. Results: The shortened Intolerance of Uncertainty Scale has appropriate psychometric indicators on a Hungarian sample (McDonald’s ω = 0.82 and 0.84). The items of the questionnaire discriminated well between respondents with different levels of the latent variable, and the questionnaire measured well over a large deviation of scores (±2 SD); thus, it is able to provide information on the ability to tolerate uncertainty in approximately 95% of the population. The subscales and total score of the questionnaire correlated with related constructs as we previously expected, for instance anxiety (r = 0.22–0.36, p < 0.001) and depression (r = 0.26–0.40, p < 0.001). Conclusions: Overall, the short version of the Intolerance of Uncertainty Scale is also a reliable and valid questionnaire for the Hungarian sample. It can be used for efficacy testing of mental health promotion, anxiety and depression prevention, or therapeutic intervention.


2021 ◽  
Author(s):  
Rafał Gerymski ◽  
Ezgi Nur Güvem

Sexual well-being is often mistakenly operationalized simply as sexual satisfaction. The concept of sexual well-being has been often used as an umbrella term for positive aspects of sexuality, apart from its negative spheres. A new concept of sexual well-being was proposed in line with the World Health Organization (WHO) definition of sexual health. The definition tried to enrich the concept of sexual well-being, but it did not solve the problem of its operationalization. Two separate studies were conducted for the psychometric validation of the Short Sexual Well-Being Scale. Short Sexual Well-Being Scales shows good psychometric properties in its original version. These properties are yet unknown for the its Turkish translation.


2021 ◽  
Vol 5 (3) ◽  
pp. 576-583
Author(s):  
Purnama Nyoman ◽  
Putu Kusuma Negara

Masks are an important part of preventing Covid19 disease.The World Health Organization (WHO) have also recommended  the community use masks when doing activities in public areas. There are many types of masks that are used to cover the nose and mouth.  In general, there are about 3 types of masks that are commonly used by the public today, namely medical masks, N95 and cloth masks. This study aims to detect the type of mask used by the community. So that it can make easier for the government to apply discipline in COVID-19 health protocol. The detection method used in this study is a convolutional neural network (CNN). The first step is acquisition of knowledge, which first collects the types of masks on the market, followed by the representation of that knowledge before being modeled into a mathematical calculation formula, which will then be processed using the Convolutional Neural Network method. The system will be carried out by analyzing the recall value, its precision and accuracy.Testing process is carried out on an Android-based device  and the mobilenetV2 framework. In this study, the accuracy value is 90% using ADAM Optimization and 80 % using Gradient descent optimization.


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