Prediction and prenosological diagnosis of stomach diseases based on energy characteristics of acupuncture points and fuzzy logic

Korenevskiy, Nikolay; Alshamasin, Mahdi Salman; Al-Kasasbeh, Riad Taha; Anatolevich, Krupchatnikov Roman; Ionescu, Felicia

doi:10.1504/ijmic.2015.067715

Cited by 23 publications

(6 citation statements)

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“…There are a significant number of methods, techniques and technical means for determining the level of psychoemotional stress. Taking into account the experience gained by the authors in solving a similar class of problems in this study, three options for assessing the level of YP were selected: using a computer version of the Spielberger-Khanin test, according to indications characterizing attention, and according to the energy imbalance of biologically active points (BAP) "associated" with psychoemotional area [27][28][29][30] .…”

Section: Methodsmentioning

confidence: 99%

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Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Korenevskiy

Al-Kasasbeh

Rodionova

et al. 2023

Preprint

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Diagnosis, reporting and proper analysis of occupational diseases among railway workers and crew remain unsatisfactory so far. This paper focus on utilizing the concepts of human factors and ergonomics (HFE) for improving the quality of care provided to railway workers, in particular, railway transportation crews. The high level of morbidity in this category of workers makes it important to search for new methods and innovative approach for improve the quality of decision-making related to the risks of the development of occupational diseases in railway crews. The paper aims to develop a method for the prediction and diagnoses of occupational diseases of railway crew workers, this will allow gathering decision rules necessary for improving the quality of medical care provided to crew and preventive strategies based on best practices. The decision rules obtained in the work take into account various risk factors associated with the design and working conditions in the cab of a locomotive in combination with other factors that may increase the risk of the occurrence and development of occupational diseases for workers of locomotive crews that is caused by poor or inappropriate working conditions. The authors investigated the various risks causing occupational diseases, and extrapolate the relationships revealed to railway workers in order to forecast high risk of occupational diseases among railway crew.

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Section: Methodsmentioning

confidence: 99%

“…Where bi and bj have the same meaning as in the formula (3). The level of the current YP in terms of attention is determined using the device developed by the authors and is determined by the Equation 5[28, [30][31][32][33]:…”

Section: Methodsmentioning

confidence: 99%

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Korenevskiy

Al-Kasasbeh

Rodionova

et al. 2023

Preprint

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“…Pada jurnal penelitian kelimabelas fuzzy-context-awareness menghitung koefisien korelasi dan dukungan antara atribut kondisi dan atribut keputusan [16] . Pada jurnal penelitian keenambelas bahwa penggunaan metode fuzzy sintesis aturanaturan keputusan, masalah prediksi, diagnosis dan pencegahan berbagai penyakit [17] . Pada jurnal penelitian ketujuhbelas bahwa neurofuzzy system yang digunakan telah mencapai tingkat kesepakatan yang baik dengan pendapat dokter [18] .…”

Section: Pendahuluanunclassified

Perancangan Sistem Informasi Analisis Medik Menggunakan Logika Fuzzy Sugeno Berbasis Data Rekam Medik Pada Penyakit Hipertensi

Pradipta

Fauziah

Darusalam

2017

JIMI

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Number of patients with hypertension have increased from year to year. This is due to an unhealthy lifestyle, excessive stress and so forth. Patiens with hypertension are often unaware of the dangers that can be caused by disease. The medical diagnosis of hypertension is made when obtained blood pressure is obtained more than 140/90 mmHg. In this study, created a system of enforcement of hypertension using sugeno fuzzy logic. This application uses the parameters of age, body mass index, blod pressure(systole and diastole), family history (genetics), diabetes mellitus. From testing the fuzzy logic that has been done, can be obtained on the calculation of 60 patients who did not suffer from hypertension (normal) as much 3 people, who suffer from prehypertension as much 17 people, who suffer from hypertension grade 1 as much 25 people and who suffer from hypertension degrees 2 as much 15 people. With an average accuracy test rate 99.999989% for patients who did not suffer from hypertension, 99.999985% for patients who suffer from prehypertension, 100% who suffer from hypertension grade 1 and 99.999946% who suffer from hypertension degrees 2. With an average the level of error 0.00333% for patients who did not suffer from hypertension, 0.00471% for patients who suffer from prehypertension, 0% who suffer from hypertension grade 1 and 0.00733% who suffer from hypertension degrees 2. From the application made can provide clear, accurate information about hypertension disease.

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“…The parameterization of a human body is usually based on anthropometric or medical information: anthropometrical points [2], parameters of clothing industry [4], points of acupuncture [8], of spinal curvature [3] As a girth we see a perimeter of a minimal convex hull of additional section points. is calculated according to Graham algorithm.…”

Section: Description Of Solution Proceduresmentioning

confidence: 99%

“…The parameterization of a human body is usually based on anthropometric or medical information: rical points [2], parameters of clothing industry [4], points of acupuncture [8], ] and so on. The results of anthropometric research and standards of clothing try are referred to in paper [2], according to these data the main parameters of human body are height, chest, girth of hips and waist.…”

Section: Description Of Solution Proceduresmentioning

confidence: 99%

Parametric Modeling as a Technology of Rapid Prototyping in Light Industry

Tomilov

Grudinin

Frolovsky

et al. 2016

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The paper deals with the parametric modeling method of virtual mannequins for the purposes of design automation in clothing industry. The described approach includes the steps of generation of the basic model on the ground of the initial one (obtained in 3D-scanning process), its parameterization and deformation. The complex surfaces are presented by the wireframe model. The modeling results are evaluated with the set of similarity factors. Deformed models are compared with their virtual prototypes. The results of modeling are estimated by the standard deviation factor.

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Prediction and prenosological diagnosis of stomach diseases based on energy characteristics of acupuncture points and fuzzy logic

Cited by 23 publications

References 0 publications

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Predictive Modeling of Occupational Safety Risks Associated with Railway Workers Using Hybrid Fuzzy Modeling Approach

Perancangan Sistem Informasi Analisis Medik Menggunakan Logika Fuzzy Sugeno Berbasis Data Rekam Medik Pada Penyakit Hipertensi

Parametric Modeling as a Technology of Rapid Prototyping in Light Industry

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