• 제목/요약/키워드: predictive analysis

검색결과 2,073건 처리시간 0.027초

Predictive and Prognostic Biomarkers for Patients Treated with Anti-EGFR Agents in Lung Cancer: A Systemic Review and Meta-Analysis

  • Wang, Ying;Qu, Xiao;Shen, Hong-Chang;Wang, Kai;Liu, Qi;Du, Jia-Jun
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권11호
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    • pp.4759-4768
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    • 2015
  • Background: Several studies have investigated predictive and prognostic biomarkers for patients treated with anti-epidermal growth factor receptor (EGFR) agents in lung cancer. However, the conclusion is controversial. Materials and Methods: A meta-analysis was conducted to evaluate the associations of mutant K-ras, PIK3CA and PTEN deficiency with the efficacy of anti-EGFR agents in lung cancer. The primary endpoint was objective response rate (ORR). The secondary endpoints were overall survival (OS) and progression-free survival (PFS). Results: A total of 61 studies were included in the final meta-analysis. The result showed that K-ras mutation was a good predictor for ORR (RR=0.42, 95%CI, 0.33-0.55, p=0.000) and an effective prognostic marker for OS (HR=1.37, 95%CI, 1.15-1.65, p=0.001) and PFS (HR=1.33, 95%CI, 1.05-1.69, p=0.019). However, PTEN deficiency or PIK3CA mutation did not show any significance predictive value for ORR (PTEN, RR=0.82, 95%CI, 0.56-1.19, p=0.286; PIK3CA, RR=1.08, 95%CI, 0.17-6.66, P=0.938). And PTEN deficiency or expression of PIK3CA did not show significance prognostic value for OS (PTEN, HR=0.88, 95%CI, 0.31-2.46,P=0.805; PIK3CA, HR=0.79, 95%CI: 0.23-2.68, P=0.706). Conclusions: Our meta-analysis showed that K-ras mutation may be an effective predictor in lung cancer patients treated with anti-EGFR agents. Whereas, the predictive and prognostic value of PTEN deficiency and PIK3CA mutation need to be further investigated.

Predictive Factors for Supraclavicular Lymph Node Recurrence in N1 Breast Cancer Patients

  • Kong, Moonkyoo;Hong, Seong Eon
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권4호
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    • pp.2509-2514
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    • 2013
  • Background: The purpose of this study was to identify predictive factors for supraclavicular lymph node recurrence (SCLR) in N1 breast cancer patients and define a high-risk subgroup who might benefit from supraclavicular nodal radiotherapy (RT). Materials and Methods: From January 1995 to December 2009, 113 breast cancer patients with 1 to 3 positive axillary lymph nodes were enrolled in this study. All patients underwent breast-conserving surgery (BCS) or modified radical mastectomy (MRM). RT was given to all patients who received BCS. Among the patients given MRM, those with breast tumors >5 cm in size received RT. Regional nodal irradiation was not applied. Systemic chemotherapy was given to 105 patients (92.9%). Patient data were retrospectively reviewed and analyzed to identify predictive factors for SCLR. Results: The median follow-up duration was 6.5 years, with 5- and 10-year actuarial SCLR rates of 9.3% and 11.2%, respectively. Factors associated with SCLR on univariate analysis included histologic grade, number of dissected axillary lymph nodes, lymphovascular invasion, extracapsular extension (ECE), and adjuvant chemotherapy. On multivariate analysis, histologic grade and ECE remained significant. The patient group with grade 3 and ECE had a significantly higher rate of SCLR compared with the remainder (5-year SCLR rate; 71.4% vs. 4.0%, p<0.001). Conclusions: Histologic grade and ECE status are significant predictive factors for SCLR. Supraclavicular nodal RT is necessary in N1 breast cancer patients featuring histologic grade 3 and ECE.

사업 초기단계에서 공동주택 토목공사비의 예측에 관한 연구 (A Study on the Prediction of Civil Construction Cost on Apartment Housing Projects at the Early Stage)

  • 하규수;이진규
    • 한국산학기술학회논문지
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    • 제13권9호
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    • pp.4284-4293
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    • 2012
  • 건설사업 수행의 초기단계에서 가장 중요한 과제는 적정 예정공사비를 산정하는 일이다. 따라서 본 연구에서는 공동주택 건설사업 초기단계에서 합리적이고 정확한 토목공사비의 예측을 위하여 170개의 공사비자료를 활용한 회귀분석을 실시하였고, 종속변수인 토목공사비를 지역위치에 따른 전국, 부지조건에 따른 사유지, 조합부지, 공공부지로 구분하여 다양한 분석을 함으로써 예측모델의 이용의 편리성과 정확성을 높였다. 회귀식을 이용한 공동주택 토목공사비의 예측 결과 오차율은 전국 적용 예측모델 15.59%, 사유지 적용 예측모델 17.53%, 조합부지 적용 예측모델 21.86%, 공공부지 적용 예측모델 13.08%로 나타났다.

70mph 제한속도를 갖는 고속도로 연결로 접속부상에서의 속도추정모형에 관한 연구 (Construction of Speed Predictive Models on Freeway Ramp Junctions with 70mph Speed Limit.)

  • 김승길;김태곤
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1999년도 추계학술대회논문집
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    • pp.111-121
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    • 1999
  • From the traffic analyses, and model constructions and verifications for speed prediction on the freeway ramp junctions with 70mph speed limit, the following results obtained: ⅰ) The traffic flow distribution showed a big difference depending on the time periods. Especially, more traffic flows were concentrated on the freeway junctions in the morning peak period when compared with the afternoon peak period. ⅱ) The occupancy distribution was also shown to be varied by a big difference depending on the time periods. Especially, the occupancy in the morning peak period showed over 100% increase when compared with the 24hours average occupancy, and the occupancy in the afternoon peak period over 25% increase when compared with the same occupancy.ⅲ) The speed distribution was not shown to have a big difference depending on the time periods. Especially, the speed in the morning peak period shown 10mph decrease when compared with the 24hours' average speed, but the speed did not show a big difference in the afternoon peak period.ⅳ) The analyses of variance showed a high explanatory power between the speed predictive models(SPM) constructed and the variables used, especially the upstream speed. ⅴ) The analysis of correlation for verifying the speed predictive models(SPM) constructed on the ramp junctions were shown to have a high correlation between observed data and predicted data. Especially, the correlation coefficients showed over 0.95 excluding the unstable condition on the diverge sectionⅵ) Speed predictive models constructed were shown to have the better results than the HCM models, even if the speed limits on the freeway were different between the HCM models and speed predictive models constructed.

냉동 고등어 소비자가격 모형 간 예측력 비교 (A Comparison of Predictive Power among Forecasting Models of Monthly Frozen Mackerel Consumer Price Models)

  • 정민경;남종오
    • 수산경영론집
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    • 제52권4호
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    • pp.13-28
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    • 2021
  • The purpose of this study is to compare short-term price predictive power among ARMA ARMAX and VAR forecasting models based on the MDM test using monthly consumer price data of frozen mackerel. This study also aims to help policymakers and economic actors make reasonable choices in the market on monthly consumer price of frozen mackerel. To analyze this study, the frozen wholesale prices and new consumer prices were used as variables while the price time series data were used from December 2013 to July 2021. Through the unit root test, it was confirmed that the time series variables employed in the models were stable while the level variables were used for analysis. As a result of conducting information standards and Granger causality tests, it was found that the wholesale prices and fresh consumer prices from the previous month have affected the frozen consumer prices. Then, the model with the highest predictive power was selected by RMSE, RMSPE, MAE, MAPE, and Theil's inequality coefficient criteria where the predictive power was compared by the MDM test in order to examine which model is superior. As a result of the analysis, ARMAX(1,1) with the frozen wholesale, ARMAX(1,1) with the fresh consumer model and VAR model were selected. Through the five criteria and MDM tests, the VAR model was selected as the superior model in predicting the monthly consumer price of frozen mackerel.

Predictive Factors of First-Pass Effect in Patients Who Underwent Successful Endovascular Thrombectomy for Emergent Large Vessel Occlusion

  • In-Hyoung Lee;Jong-Il Choi;Sung-Kon Ha;Dong-Jun Lim
    • Journal of Korean Neurosurgical Society
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    • 제67권1호
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    • pp.14-21
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    • 2024
  • Objective : The primary treatment goal of current endovascular thrombectomy (EVT) for emergent large-vessel occlusion (ELVO) is complete recanalization after a single maneuver, referred to as the 'first-pass effect' (FPE). Hence, we aimed to identify the predictive factors of FPE and assess its effect on clinical outcomes in patients with ELVO of the anterior circulation. Methods : Among the 129 patients who participated, 110 eligible patients with proximal ELVO (intracranial internal carotid artery and proximal middle cerebral artery) who achieved successful recanalization after EVT were retrospectively reviewed. A comparative analysis between patients who achieved FPE and all others (defined as a non-FPE group) was performed regarding baseline characteristics, clinical variables, and clinical outcomes. Multivariate logistic regression analyses were subsequently conducted for potential predictive factors with p<0.10 in the univariate analysis to determine the independent predictive factors of FPE. Results : FPE was achieved in 31 of the 110 patients (28.2%). The FPE group had a significantly higher level of functional independence at 90 days than did the non-FPE group (80.6% vs. 50.6%, p=0.002). Pretreatment intravenous thrombolysis (IVT) (odds ratio [OR], 3.179; 95% confidence interval [CI], 1.025-9.861; p=0.045), door-to-puncture (DTP) interval (OR, 0.959; 95% CI, 0.932-0.987; p=0.004), and the use of balloon guiding catheter (BGC) (OR, 3.591; 95% CI, 1.231-10.469; p=0.019) were independent predictive factors of FPE. Conclusion : In conclusion, pretreatment IVT, use of BGC, and a shorter DTP interval were positively associated with FPE, increasing the chance of acquiring better clinical outcomes.

머신러닝을 이용한 경기도 화재위험요인 예측분석 (Predictive Analysis of Fire Risk Factors in Gyeonggi-do Using Machine Learning)

  • 서민송;에베르 엔리케 카스티요 오소리오;유환희
    • 한국측량학회지
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    • 제39권6호
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    • pp.351-361
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    • 2021
  • 화재는 막대한 재산과 인명피해를 초래하고 있으며 크고 작은 화재가 지속해서 발생하고 있다. 따라서 본 연구는 화재 유형별로 화재에 영향을 미치는 각종 위험요인을 예측하고자 한다. 전국에서 화재 발생 건수가 가장 많은 경기도를 대상으로 화재발생위험요인 예측분석을 실시하였다. 또한, 머신러닝 방법인 SVM, RF, GBRT를 활용하여 각 모형의 정확성을 MAE,RMSE를 통해 적합도가 높은 모형을 제시하였으며 이를 토대로 경기도 화재발생요인 예측분석을 실시하였다. 머신러닝 방법 3가지를 비교분석한 결과 RF가 MAE 1.517, RMSE 1.820으로 나타났으며 MAE, RMSE 검증데이터 및 시험데이터의 경우 MAE값 0.024, RMSE값 0.12의 차이로 매우 유사하게 나타나 가장 우수한 예측력으로 나타났다. RF기법을 적용하여 분석한 결과 공통적으로 발화장소가 화재발생에 가장 큰 영향을 주는 위험요인으로 나타났다. 이러한 연구 결과는 화재발생에 영향을 주는 요인들의 위험순서를 파악하여 화재안전관리의 유용한 자료로 활용될 것으로 예상된다.

호텔 식음료부서에서 조직지원, 조직몰입, 직무만족과 서비스품질의 인과관계 평가 (Evaluating the Causal Relationships among Organizational Support, Organizational Commitment, Job Satisfaction, and Service Quality in the Hotel F & B Department)

  • 강종헌
    • 한국식품조리과학회지
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    • 제19권2호
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    • pp.155-164
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    • 2003
  • The purpose of this study was to examine, in a service context, construct validity and generalizability of widely used and accepted measures of perceived organizational support, job satisfaction, organizational commitment, and service duality, and to test each measures' predictive utility in this context with path analysis. Of 350 subjects, 309 subjects participated in the analysis. Descriptive statistics (frequencies), exploratory factor analysis, reliability analysis, zero-order partial correlation analysis, and confirmatory factor analysis were used for this study. The findings from this study are as follows. First, perceived organizational support significantly influenced job satisfaction, organizational commitment. and service quality. Second, Job satisfaction had a directional impact upon organizational commitment and service quality. Third, organizational commitment showed to have a predictive impart on service quality. Finally, the results of the study provide some insight into the types of internal marketing strategies that can be applied successfully by operators of hotel F & B departments.

Is Transcranial Doppler Ultrasonography Old-fashioned?: One Institutional Validity Study

  • Han, Pan-Yeal;Kim, Jae-Hoon;Kang, Hee-In;Moon, Byung-Gwan;Lee, Seung-Jin;Kim, Joo-Seung
    • Journal of Korean Neurosurgical Society
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    • 제44권2호
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    • pp.63-66
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    • 2008
  • Objective : The purpose of this study is to investigate the correlation between various transcranial Doppler (TCD) ultrasonography parameters and clinical vasospasm after aneurysmal subarachnoid hemorrhage (SAH). Methods : This study enrolled 40 patients presented with aneurysmal SAH between September 2006 and August 2007. We measured differences of mean blood flow velocity (BFVm), highest systolic blood flow velocity (BFVh), and Lindegaard ratio (LR) in the middle cerebral artery on TCD examination. These parameters were evaluated for correlation with clinical vasospasm by univariate analysis and the receiver operating characteristic analysis. Results : Twelve patients (30%) developed clinical vasospasm. The best TCD parameters for the detection of clinical vasospasm were revealed to be differences of BFVm, BFVh, and LR values between $1^{st}$ TCD test and $3^{rd}$ TCD (7 cm/s. 11.5 cm/s, 0.45 respectively). The positive predictive value of anyone of three parameters was 60% and the negative predictive value was 100%. Conclusion : TCD is still considered a useful tool for screening clinical vasospasm. To confirm the predictive value of the above parameters. further prospective study will be needed.

차량용 휠 베어링의 결함 예측을 위한 센서 모듈 및 진단 연구 (A Study on Sensor Module and Diagnosis of Automobile Wheel Bearing Failure Prediction)

  • 황재용;설예인
    • 한국융합학회논문지
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    • 제11권11호
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    • pp.47-53
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    • 2020
  • 최근 모니터링 및 예측 시스템을 이용하여 사전에 결함을 발견하고 이를 경고하는 시스템이 활발히 연구되고 있다. 차량 안전 관리에 있어서도 예측 결함 분석 기술을 적용하여 자동차 휠 베어링의 고장 유무 및 고장 유형을 조기에 경고하는 시스템이 필요하다. 본 논문에서는 휠 베어링과 결합 된 센서 모듈과 각 센서 모듈에서 차량 가속 정보 및 진동 정보를 수집, 저장 및 분석하는 진단 시스템을 제시하였다. 제안된 센서 모듈은 저비용으로 차량의 휠 베어링 상태를 모니터링하며, 이렇게 수집된 데이터를 활용하여 진단 및 고장 예측 기능을 수행하는 방안을 연구하였다. 개발된 센서 모듈과 예측 분석 시스템은 가진 테스트 장비 및 실제 차량을 이용하여 테스트하고 그 유효성을 평가하였다.