• 제목/요약/키워드: Nomogram

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Mix Design Nomogram을 이용한 콘크리트 파괴에너지 예측 (Prediction of Concrete Fracture Energy using Mix Design Nomogram)

  • 강성후;박선준;정철오
    • 한국구조물진단유지관리공학회 논문집
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    • 제10권3호
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    • pp.133-142
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    • 2006
  • 본 연구에서는 레미콘 제품에 Mix Design Nomogram을 적용하여 배합변수에 따른 파괴에너지 예측뿐만 아니라 파괴에너지에 따른 배합변수 예측을 가능하도록 하는데 그 목적이 있다. Mix Design Nomogram 작성을 위한 실험은 레미콘 생산회사의 실제 시방배합표를 사용하였으며, RILEM 50-FMC 위원회에서 제안한 3점 휨 실험을 실시하였다. 그 결과, 레미콘 제품에 파괴에너지가 예측 가능한 Mix Design Nomogram의 적용 가능성을 확인하였으며, 이를 이용한 프로그램 개발로 레미콘 배합설계 자동화를 위한 가능성을 확인하였다.

치의학 연구에서 노모그램을 이용한 표본수 계산 (Sample size estimation using nomogram in dental research)

  • 김기열
    • 대한치과의사협회지
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    • 제54권8호
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    • pp.630-638
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    • 2016
  • The appropriate sample size calculation in dental research is important to achieve the study purpose at the first step in study design. However, it cannot be easy to calculate sample size using standard formulas, because the several factors must be considered for calculation. This study introduced the graphic method for sample size calculation, which is called nomogram. The purpose of this study is to show the effectiveness of the nomogram using examples, expecting the researchers can easily use nomogram for sample size determination.

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Identification of risk factors and development of the nomogram for delirium

  • Shin, Min-Seok;Jang, Ji-Eun;Lee, Jea-Young
    • Communications for Statistical Applications and Methods
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    • 제28권4호
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    • pp.339-350
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    • 2021
  • In medical research, the risk factors associated with human diseases need to be identified to predict the incidence rate and determine the treatment plan. Logistic regression analysis is primarily used in order to select risk factors. However, individuals who are unfamiliar with statistics outcomes have trouble using these methods. In this study, we develop a nomogram that graphically represents the numerical association between the disease and risk factors in order to identify the risk factors for delirium and to interpret and use the results more effectively. By using the logistic regression model, we identify risk factors related to delirium, construct a nomogram and predict incidence rates. Additionally, we verify the developed nomogram using a receiver operation characteristics (ROC) curve and calibration plot. Nursing home, stroke/epilepsy, metabolic abnormality, hemodynamic instability, and analgesics were selected as risk factors. The validation results of the nomogram, built with the factors of training set and the test set of the AUC showed a statistically significant determination of 0.893 and 0.717, respectively. As a result of drawing the calibration plot, the coefficient of determination was 0.820. By using the nomogram developed in this paper, health professionals can easily predict the incidence rate of delirium for individual patients. Based on this information, the nomogram could be used as a useful tool to establish an individual's treatment plan.

앱기반 진화 의료 노모그램 서비스 시스템 (An App-based Evolving Medical Nomogram Service System)

  • 이건명;황경순;김원재
    • 한국엔터테인먼트산업학회논문지
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    • 제4권4호
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    • pp.72-76
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    • 2010
  • 의료 노모그램은 환자에 대한 임상정보를 축적하고 분석하여 만든 수식적인 임상 의료예측 지식을 그래픽으로 표현한 것을 말한다. 의료 노모그램이 환자 진료에 기여하기 위해서는 가능하면 많은 임상 사례들이 추적되어 이들로부터 의료예측 지식을 추출하는 것이 필요하다. 또한 가용한 사례 데이터들로부터 정확도가 높은 예측 모델을 생성하여 노모그램으로 제공해야 한다. 이러한 노모그램은 환자진료 시점에서 쉽게 활용할 수 있도록 제공하는 것이 바람직하다. 이 논문에서는 이러한 요구조건들을 고려하여 제안한 노모그램 서비스 시스템을 소개한다. 제안한 시스템에서는 가능하면 많은 사례를 활용할 수 있도록 하기 위해 웹기반의 사례정보 데이터베이스 시스템을 포함하고, 임상 사례 데이터들을 활용하여 주기적으로 노모그램을 자동으로 갱신하도록 한다. 그 결과를 임상현장에서 바로 사용할 수 있도록 하기 위하여 앱 프로그램 통하여 스마트 단말기를 활용하도록 한다. 이 앱은 노모그램 서버에 직접 접근하여 가장 최근의 노모그램에 근거한 예측 결과를 제공한다. 끝으로 제안된 서비스 시스템 구조를 적용하여 개발된 방광암 환자의 재발율 및 생존율에 대한 노모그램 서비스 시스템을 소개한다.

Nomogram for Predicting Survival for Oral Squamous Cell Carcinoma

  • Kim, Ki-Yeol;Li, Sheng-Jin;Cha, In-Ho
    • Genomics & Informatics
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    • 제8권4호
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    • pp.212-218
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    • 2010
  • An accurate system for predicting the survival of patients with oral squamous cell carcinoma (OSCC) will be useful for selecting appropriate therapies. A nomogram for predicting survival was constructed from 96 patients with primary OSCC who underwent surgical resection between January 1994 and June 2003 at the Yonsei Dental Hospital in Seoul, Korea. We performed univariate and multivariate Cox regression to identify survival prognostic factors. For the early stage patients group, the nomogram was able to predict the 5 and 10 year survival from OSCC with a concordance index of 0.72. The total point assigned by the nomogram was a significant factor for predicting survival. This nomogram was able to accurately predict the survival after treatment of an individual patient with OSCC and may have practical utility for deciding adjuvant treatment.

Nomogram plot for predicting chronic otitis media in Korean adults

  • Kang, Eun Jin;Lee, Jea Young
    • Journal of the Korean Data and Information Science Society
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    • 제28권4호
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    • pp.899-910
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    • 2017
  • Nomogram is useful for predicting the prevalence of each patient through the scoring system without a complex formula. Because there are few studies on chronic otitis media (COM) in adults, this study aims to identify the relevant risk factors for COM in Korean adults and to build a nomogram for the risk factors. The Health Interview Survey data subset, derived from the Sixth Korean National Health and Nutrition Examination Survey (KNHANES VI), was used to evaluate the participants. Of the participants, the weighted prevalence of COM was 5.3%. Residence, earphone use, atopic dermatitis, allergic rhinitis, chronic rhinosinusitis, and subjective hearing status were identified as risk factors for COM. Using 6 risk factors, we propose a nomogram for COM, and use AUC to verify the discrimination of the nomogram.

Nomogram for screening the risk of developing metabolic syndrome using naïve Bayesian classifier

  • Minseok Shin;Jeayoung Lee
    • Communications for Statistical Applications and Methods
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    • 제30권1호
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    • pp.21-35
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    • 2023
  • Metabolic syndrome is a serious disease that can eventually lead to various complications, such as stroke and cardiovascular disease. In this study, we aimed to identify the risk factors related to metabolic syndrome for its prevention and recognition and propose a nomogram that visualizes and predicts the probability of the incidence of metabolic syndrome. We conducted an analysis using data from the Korea National Health and Nutrition Survey (KNHANES VII) and identified 10 risk factors affecting metabolic syndrome by using the Rao-Scott chi-squared test, considering the characteristics of the complex sample. A naïve Bayesian classifier was used to build a nomogram for metabolic syndrome. We then predicted the incidence of metabolic syndrome using the nomogram. Finally, we verified the nomogram using a receiver operating characteristic curve and a calibration plot.

External Validation of a Gastric Cancer Nomogram Derived from a Large-volume Center Using Dataset from a Medium-volume Center

  • Kim, Pyeong Su;Lee, Kyung-Muk;Han, Dong-Seok;Yoo, Moon-Won;Han, Hye Seung;Yang, Han-Kwang;Bang, Ho Yoon
    • Journal of Gastric Cancer
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    • 제17권3호
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    • pp.204-211
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    • 2017
  • Purpose: Recently, a nomogram predicting overall survival after gastric resection was developed and externally validated in Korea and Japan. However, this gastric cancer nomogram is derived from large-volume centers, and the applicability of the nomogram in smaller centers must be proven. The purpose of this study is to externally validate the gastric cancer nomogram using a dataset from a medium-volume center in Korea. Materials and Methods: We retrospectively analyzed 610 patients who underwent radical gastrectomy for gastric cancer from August 1, 2005 to December 31, 2011. Age, sex, number of metastatic lymph nodes (LNs), number of examined LNs, depth of invasion, and location of the tumor were investigated as variables for validation of the nomogram. Both discrimination and calibration of the nomogram were evaluated. Results: The discrimination was evaluated using Harrell's C-index. The Harrell's C-index was 0.83 and the discrimination of the gastric cancer nomogram was appropriate. Regarding calibration, the 95% confidence interval of predicted survival appeared to be on the ideal reference line except in the poorest survival group. However, we observed a tendency for actual survival to be constantly higher than predicted survival in this cohort. Conclusions: Although the discrimination power was good, actual survival was slightly higher than that predicted by the nomogram. This phenomenon might be explained by elongated life span in the recent patient cohort due to advances in adjuvant chemotherapy and improved nutritional status. Future gastric cancer nomograms should consider elongated life span with the passage of time.

가스 교환비(R)를 구하는 노모그람 (Gas Exchange Ratio (R) Nomogram)

  • 황기준
    • The Korean Journal of Physiology
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    • 제1권1호
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    • pp.73-76
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    • 1967
  • A nomogram of gas exchange ratio (R) in air breathing subjects ,was porposed which enables a simple and rapid determination of R value using the fractional concentrations of nitrogen and carbon dioxide in the expired or alveolar gas. The readable limit of R value seems less than 1/100 of R unit and the average difference between the values from the nomogram and the actually calculated values is less than 0.005 of R unit. The usefulness of this nomogram for rapid and frequent determinations of the oxygen uptake is also suggested.

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한국성인환자의 임상약동학 자료를 이용한 반코마이신 용량설정표 (nomogram)의 개발 (Development of Vancomycin Dosing Nomogram Based on Clinical Pharmacokinetic Data of Korean Adult Patients)

  • 배성미;김상일;강문원;조혜경
    • 약학회지
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    • 제45권2호
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    • pp.153-160
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    • 2001
  • This research developed an intravenous (IV) vancomycin dosing nomogram based on the clinical pharmacokinetic data of Korean adult patients. Total 99 pairs of steady-state peak and trough serum concentrations of vancomycin were obtained from 73 adult patients in a tertiary general hospital. Serum vancomycin concentrations were determined to assess the appropriateness of initial vancomycin dosing. Only 47.2% of the cases were within therapeutic range. To characterize the clinical pharmacokinetics (PK) of vancomycin, PK parameters including elimination rate constant ( $K_{e}$) half-life( $T_{1}$2/), clearance (C $l_{van}$), volume of distribution ( $V_{d}$) were calculated by using one-compartment, first order pharmacokinetic equations. PK parameters were evaluated based on the differences of patients'renal function and age. Regression analysis showed a significant correlation between C $l_{van}$ and $C_{cr}$ (C $l_{van}$ = -1.89+0.914 $C_{cr}$ , r=0.763) and between $K_{e}$ and $C_{cr}$ , ( $K_{e}$=-0.0037+0.00139 $C_{cr}$ =0.724). The relationship between $K_{e}$ and $C_{cr}$ , and the mean $V_{d}$ were utilized for developing the nomogram to individualize the initial dosing regimen of vancomycin for the patients with various degrees of renal functions. The nomogram may be used as an efficient tool to determine safe and effective doses of vancomycin for the Korean adult patients.nts.nts.nts.s.nts.

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