• Title/Summary/Keyword: Progression Index

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The Macroscopic Model for Signalized Intersections to Consider Progression in relation to Delay (지체시간과 연동성을 동시에 고려하는 신호교차로 시뮬레이션 모형의 개발)

  • Han, Yohee;Kim, Youngchan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.6
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    • pp.15-22
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    • 2012
  • A performance index of singalized intersections is a standard to optimize signal control variables and to manage traffic flow. Traffic delays is generally used to minimize the average delay time on intersections or networks, progression efficiency is used to improve travel speed of main cooridors or to provide transit signal priority. We manage traffic flows with only selecting one index between delays and progression according to the objective of traffic management and field characteristics. In real field, the driver's satisfaction is high in any performance criteria when the waiting time is shorter and the unnecessary stop in front of traffic is smaller. This paper aims to develop simulation model to represent real progression with concurrently considering delays and progression. In order to reflect an effect of level of traffic volumes and residual queues which don't be considered in prior progression model, we apply shockwave model with flow-density diagram. We derive Cell Transmission Model of Daganzo in order to develop the delay index and the progression index for the macroscopic simulation model. In order to validate the effect, we analysis traffic delays and progression efficiency with comparing this model to Transyt-7F and PASSER V.

Relationship of Body Mass Index with Prognosis in Breast Cancer Patients Treated with Adjuvant Radiotherapy and Chemotherapy

  • Cihan, Yasemin Benderli
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.10
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    • pp.4233-4238
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    • 2014
  • Background: The aim of this study was to investigate the relationship of body mass index with overall and progression-free survival as well as other prognostic factors of breast cancer in patients with non-metastatic breast cancer. Materials and Methods: We retrospectively reviewed 456 patients diagnosed with breast cancer in the Radiation Oncology department of Kayseri Teaching Hospital between 2005 and 2013. We investigated relationship of body mass index with prognosis and other prognostic factors. Results: The study included 456 patients (447 women and 9 men). Mean age at presentation was 55.6 years. Of the cases, 96.9% underwent modified radical mastectomy and 95.0% received chemotherapy, while 82.4% received radiotherapy and 60.0% were given hormone therapy. Body mass index was >25 mg/kg2 in 343 cases. Five- and 10-years overall survival rates were 77% and 58% whereas progression-free survival rates were 65% and 49%, respectively. In univariate analyses, factors including stage (p=0.046), tumor diameter (p=0.001), lymph node metastasis (p=0.006) and body mass index (p=0.030) were found to be significantly associated with overall survival, while perinodal involvement was found to be significantly associated with progression-free survival (p=0.018). In multivariate analysis, stage (p=0.032; OR: 3.8; 95% CI: 1.1-13), tumor diameter (p<0.000; OR: 0.0; 95% CI: 0.0-0.3), lymph node metastasis (p=0.005; OR: 0.0; 95% CI: 0.0-0.5) and BMI (p=0.027; OR: 0.02; 95% CI: 0.0-0.8) remained as significantly associated with OS. Conclusions: In our study, it was seen that overall survival time was shorter in underweight and obese patients when compared to normal weight patients.

Clinical Predictors of Survival in Idiopathic Pulmonary Fibrosis

  • Kim, Ji Hye;Lee, Jin Hwa;Ryu, Yon Ju;Chang, Jung Hyun
    • Tuberculosis and Respiratory Diseases
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    • v.73 no.3
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    • pp.162-168
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    • 2012
  • Background: Idiopathic pulmonary fibrosis (IPF) is a progressive disease. Effective treatment is not currently available and the prognosis is poor. The aim of our study was to identify clinical predictors of survival in patients with IPF. Methods: By using medical record database of a university hospital, we reviewed the records of patients who had been diagnosed as having IPF from January 1996 through December 2007. Results: Among 89 patients considered as having interstitial lung disease (ILD) on computed tomography (CT) of the chest, 22 were excluded because of the diagnosis of other ILDs or connective tissue disease, and finally, 67 met the criteria of IPF. The mean age at the diagnosis of IPF was 70 years (range, 41~87 years) and 43 (64%) were male. The mean survival time following the diagnosis of IPF was 40 months (range, 0~179 months). Among them, 28 cases were diagnosed as the progressive state of IPF on the follow-up CT examination, and the mean duration between diagnosis of IPF and progression was 31 months. Multivariate analysis using Cox regression model revealed that body mass index (BMI) less than 18.5 $kg/m^2$ (p=0.030; hazard ratio [HR], 12.085; 95% confidence interval [CI], 1.277~114.331) and CT progression before 36 months from the diagnosis of IPF (p=0.042; HR, 13.564; 95% CI, 1.101~167.166) were independently associated with mortality. Conclusion: Since low BMI at the diagnosis of IPF and progression on follow-up CT were associated with poor prognosis, IPF patients with low BMI and/or progression before 36 months following the diagnosis should be closely monitored.

Developing an Biomechanical Functional Performance Index for Parkinson's Disease Patients (한국형 파킨슨 환자의 역학적 기능수행지수 개발)

  • Shin, Sunghoon;Han, Byungin;Chung, Chulmin;Lee, Yungon
    • Korean Journal of Applied Biomechanics
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    • v.30 no.1
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    • pp.83-91
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    • 2020
  • Objective: The study aimed to develop a functional performance index that evaluates the functional performance of Parkinson's patients, i.e., to integrate biomechanical measurements of walking, balance, muscle strength and tremor, and to use multiple linear regression with stepwise methods to identify the most suitable predictors for the progression of disease. Method: A total of 60 subjects were tested for sub-variables of four factors: walking, balance, isometric strength and hand tremors. Potential independet variables were extracted through correlation analysis of the sub-variables and dependent variables, Hoehn & Yahr scale. And then, a stepwise multiple regression analysis using the potential independent variables was performed to identify predictor of Hoehn & Yahr scale. Results: First, the results of the study showed that physical composition and gait had a relatively more correlated with the progression of the disease, compared to balance and hand tremor. Second, Parkinson's functional performance is characterized by dynamic pattern of walking, such as foot clearance and turning angle (TA) of walking, and a high-explained regression model is completed. Conclusion: The study emphasized the importance of walking variables and body composition in minor pathological features compared to Parkinson's patient's balancing ability and hand tremor. Specifically, it revealed that dynamic walking patterns functionally characterize patients. The results are worth considering when assessing functional performance related to the progression of the disease at the site.

Usefulness of Shock Index to Predict Outcomes of Trauma Patient: A Retrospective Cohort Study

  • Kim, Myoung Jun;Park, Jung Yun;Kim, Mi Kyoung;Lee, Jae Gil
    • Journal of Trauma and Injury
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    • v.32 no.1
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    • pp.17-25
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    • 2019
  • Purpose: We investigated how prehospital, emergency room (ER), and delta shock indices (SI) correlate with outcomes including mortality in patients with polytrauma. Methods: We retrospectively reviewed the medical records of 1,275 patients who visited the emergency department from January 2015 to April 2018. A total of 628 patients were enrolled in the study. Patients were divided into survivor and non-survivor groups, and logistic regression analysis was used to investigate independent risk factors for death. Pearson coefficient analysis and chi-square test were used to examine the significant relationship between SI and clinical progression markers. Results: Of 628 enrolled patients, 608 survived and 27 died. Multivariate logistic regression analysis reveals "age" (p<0.001; OR, 1.068), "pre-hospital SI >0.9" (p<0.001; OR, 11.629), and "delta SI ${\geq}0.3$" (p<0.001; OR, 12.869) as independent risk factors for mortality. Prehospital and ER SIs showed a significant correlation with hospital and intensive care unit length of stay and transfusion amount. Higher prehospital and ER SIs (>0.9) were associated with poor clinical progression. Conclusions: SI and delta SI are significant predictors of mortality in patients with polytrauma. Moreover, both prehospital and ER SIs can be used as predictive markers of clinical progression in these patients.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

  • Subhanik Purkayastha;Yanhe Xiao;Zhicheng Jiao;Rujapa Thepumnoeysuk;Kasey Halsey;Jing Wu;Thi My Linh Tran;Ben Hsieh;Ji Whae Choi;Dongcui Wang;Martin Vallieres;Robin Wang;Scott Collins;Xue Feng;Michael Feldman;Paul J. Zhang;Michael Atalay;Ronnie Sebro;Li Yang;Yong Fan;Wei-hua Liao;Harrison X. Bai
    • Korean Journal of Radiology
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    • v.22 no.7
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    • pp.1213-1224
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    • 2021
  • Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

A Study on Sensitivity Analysis by PDF in T7F Model (T7F Model에서 차량군분산계수변화에 따른 민감도분석에 관한 연구)

  • Hwang, Eui-Jin
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.1 s.35
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    • pp.57-63
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    • 2006
  • The purpose of this study is to correct data on 3 intersection ranging from Kwangchun INT. to Nongsung INT. by the means of VTR recording and site survey and to measure the responsiveness of performance index by diversifying the platoon dispersion factor in signal progression simulation. The results are as follows : 1. The value of platoon dispersion factor was 0.28-0.33. The value in up stream is lower than that of in down stream even on the same intersection. 2. The platoon index showed big changes, though performance index didn't according to platoon dispersion factor. Therefore the value of platoon dispersion factor which is inner variable in T7F can be fixed for 0.34. 3. There was only little divergence in performance index changes according to platoon dispersion factor in designing the progression or T7F model.

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Prognostic Factors and Therapeutic Outcomes in 22 Patients with Pleomorphic Xanthoastrocytoma

  • Lim, Sungryong;Kim, Jeong Hoon;Kim, Sun A;Park, Eun Suk;Ra, Young Shin;Kim, Chang Jin
    • Journal of Korean Neurosurgical Society
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    • v.53 no.5
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    • pp.281-287
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    • 2013
  • Objective : Pleomorphic xanthoastrocytoma (PXA) is a rare primary low-grade astrocytic tumor classified as WHO II. It is generally benign, but disease progression and malignant transformation have been reported. Prognostic factors for PXA and optimal therapies are not well known. Methods : The study period was January 2000 to March 2012. Data on MR findings, histology, surgical extents and adjuvant therapies were reviewed in twenty-two patients diagnosed with PXA. Results : The frequent symptoms of PXA included seizures, headaches and neurologic deficits. Tumors were most common in the temporal lobe followed by frontal, parietal and occipital lobes. One patient who died from immediate post-operative complications was excluded from the statistical analysis. Of the remaining 21 patients, 3 (14%) died and 7 (33%) showed disease progression. Atypical tumor location (p<0.001), peritumoral edema (p=0.022) and large tumor size (p=0.048) were correlated with disease progression, however, Ki-67 index and necrosis were not statistically significant. Disease progression occurred in three (21%) of 14 patients who underwent GTR, compared with 4 (57%) of 7 patients who did not undergo GTR, however, it was not statistically significant. Ten patients received adjuvant radiotherapy and the tumors were controlled in 5 of these patients. Conclusion : The prognosis for PXA is good; in our patients overall survival was 84%, and event-free survival was 59% at 3 years. Atypical tumor location, peritumoral edema and large tumor size are significantly correlated with disease progression. GTR may provide prolonged disease control, and adjuvant radiotherapy may be beneficial, but further study is needed.

A 2-Year Longitudinal Study of Untreated Periodontal Disease in Young Adults (20대의 치주염 진행에 대한 2년간의 종적연구)

  • Um, Heung-Sik
    • Journal of Periodontal and Implant Science
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    • v.28 no.3
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    • pp.523-531
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    • 1998
  • The purpose of this investigation was to examine the pattern of progression of periodontitis and the change in the extent and severity of the periodontal condition in young adults. Fourteen subjects with periodontitis, 11 males and 3 females in the age range 22-26, participated in the study. Following a baseline examination, the subjects were monitored for gingival index, probing pocket depth, gingival recession, probing attachment level and radiogrphic crestal bone height for 24 months without therapy. Re-examination were performed after 12 and 24 months. Gingival index, probing pocket depth, gingival recession and probing attachment level were assesed at 6 locations per tooth, and crestal bone height was assessed by subtraction radiography. The results from the follow-up examination revealed that the subjects underwent minor changes with respect to a series of different clinical parameters. The mean values of gingival index was improved, however, the mean values of probing pocket depth, gingival recession, probing attchment level and crestal bone height showed no significant change between baseline and the re-examination after 1 and 2 years.

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One Case of Atopic Dematitis Treated by Horminis Placenta External Wet Therapy (자하거(紫河車) 습포요법(濕布療法)을 이용한 아토피 환자 치험 1 례)

  • Park, Eun-Seong;Lee, Jin-Young
    • The Journal of Pediatrics of Korean Medicine
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    • v.24 no.1
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    • pp.46-56
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    • 2010
  • Objectives The purpose of this study is to report a Atopic dematitis patient treated by Horminis Placenta external wet therapy. Methods The patient was treated by acupuncture, herb medicine, especially Horminis Placenta external therapy. Kunz type, SCORAD index and Vas scale were used to measure the progression. Results and Conclusions We had evaluated the score during admission. SCORAD index include the extent, the intensity, pruritus, sleeping loss had increased from 52.88 score to 21.26 score. And the symptoms had improved with treatment.