• 제목/요약/키워드: Weight Prediction

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한의 체중 조절 프로그램에 참여한 과체중, 비만 환자에서의 머신러닝 기법을 적용한 체중 감량 예측 연구 (Application of Machine Learning to Predict Weight Loss in Overweight, and Obese Patients on Korean Medicine Weight Management Program)

  • 김은주;박영배;최가혜;임영우;옥지명;노은영;송태민;강지훈;이향숙;김서영
    • 대한한의학회지
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    • 제41권2호
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    • pp.58-79
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    • 2020
  • Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1st to 2nd and 3rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1st (54.69%), 2nd (73.52%), and 3rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1st (0.640), 2nd (0.816), and 3rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.

준설매립지반의 압밀침하에 대한 쌍곡선 침하예측기법의 적용성 연구 (A Study on the Applicability of Hyperbolic Settlement Prediction Method to Consolidation Settlement in the Dredged and Reclaimed Ground)

  • 유남재;전상현;전진용
    • 산업기술연구
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    • 제28권A호
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    • pp.11-17
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    • 2008
  • Applicability of hyperbolic settlement prediction method to consolidation settlement in the dredged and reclaimed ground was assessed by analyzing results of centrifuge tests modelling self-weight consolidation of soft marine clay. From literature review about self-weight consolidation of soft marine clays located in southern coast in Korea, constitutive relationships of void ratio - effective stress - permeability and typical self-weight consolidation curves with time were obtained by analyzing centrifuge model experiments. For the condition of surcharge loading, exact solution of consolidation settlement curve obtained by using Terzaghi's consolidation theory was compared with results predicted by the hyperbolic method. It was found to have its own inherent error to predict final consolidation settlement. From results of analyzing thc self-weight consolidation with time by using this method, it predicted relatively well in error range of 0.04~18% for the case of showing the linearity in the relationship between T vs T/S in the stage of consolidation degree of 60~90 %. However, it overestimated the final settlement with large errors if those relation curves were nonlinear.

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연결강도분석접근법에 의한 부도예측용 인공신경망 모형의 입력노드 선정에 관한 연구 (Selection of Input Nodes in Artificial Neural Network for Bankruptcy Prediction by Link Weight Analysis Approach)

  • 이응규;손동우
    • 지능정보연구
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    • 제7권2호
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    • pp.19-33
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    • 2001
  • 본 연구에서는 부도예측용 인공신경망의 입력노드 선정을 위한 휴리스틱으로 연결강도분석접근법을 제안한다. 연결강도분석은 학습이 끝난 인공신경망에서 입력노드와 은닉노드를 연결하는 연결가중치의 절대값 즉, 연결강도를 분석하여 입력변수를 선정하는 접근법으로, 선정기준에 따라 약체연결뉴론제거법과 강체연결뉴론선택법을 들 수 있다. 본 연구에서는 약체연결뉴론제거법, 강체연결뉴론선택법 그리고 이 두 기법을 통합한 통합 연결강도 모형을 제안하여 각각 의사결정트리 및 다변량판별분석에 의해 선정된 입력변수를 이용한 인공신경망 모형과 예측율을 비교한다. 실험 결과 본 연구에서 제안하고 있는 방법론이 의사결정트리나 다변량판별분석 기법보다 높은 예측율을 보여주었다. 특히 두 기법의 통합연결강도 모형의 경우에는 다른 단일 기법보다 높은 예측율을 보이고 있다.

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A PREDICTION OF BODY WATER COMPARTMENTS OF GROWING CATTLE IN VIVO

  • Sekine, J.;Fujita, K.;Asahida, Y.
    • Asian-Australasian Journal of Animal Sciences
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    • 제5권1호
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    • pp.7-11
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    • 1992
  • Body water compartments in vivo were determined in Holstein cattle with age ranging from 5 to 521 days to obtain an equation to estimate volumes of body water. Live weight ranged from 47 to 480 kg. Compartments were determined as antipyrine space for total body water (TBW), thiocyanate space for extracellular water (ECW) and Evans blue dye space for plasma water (PW). Body water compartments expressed as a percentage of live weight decreased as age in days increased and significantly correlated with age in days. Regression analyses revealed that prediction equations had low accuracy. Regression equations of body water compartments on live weight (WT, kg) were useful for the prediction of body fluid with a high accuracy. Live weight significantly regressed on age in days (Day), which was inferred to be utilized for estimation of standardized live weight in case animals were emaciated by certain causes such as severe diarrhea or dehydration. In conclusion, following equations were presented to estimate body water compartments of cattle in vivo : TBW in liters = $0.556({\pm}0.007)WT+10$, r = 0.993, $SE{\pm}0.7$ ECW in liters = $0.321({\pm}0.008)WT+10$, r = 0.978, $SE{\pm}0.8$ PW in liters = $0.0502({\pm}0.0012)WT+1.6$, r = 0.0983, $SE{\pm}0.1$ WT (kg) = $0.772({\pm}0.018)Day+24$, r = 0.982, $SE{\pm}2.3$.

가스 파이프라인의 차량진동 응답 예측 (A Response Estimation for Vehicle Vibration of Gas Pipeline)

  • 박선준;박연수;강성후
    • 한국소음진동공학회논문집
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    • 제14권1호
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    • pp.40-49
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    • 2004
  • In this paper, vibration response of aerial gas pipeline due to vehicle loads was quantitatively estimated through experiment and analysis in open cut construction site. The vehicle vibration of various construction machines causes serious effect to the aerial gas pipeline. The new vibration prediction equations presented in this study can estimate the vibration velocity response of the aerial gas pipeline. In the nitration prediction equations, the vehicle′s weight and traveling velocity, which are the sources of vibration, are combined into the term called, "scaled weight" Methods to reduce vibration were proposed in case the vibration velocity response of the gas pipeline exceeded the vibration criterion, using the vibration prediction equations presented in this study. One was to limit the vehicle′s traveling velocity and the other to install the isolation equipment. Both methods can be estimated quantitatively.

무선 통신망에서 Handoff QoS 보장을 위한 이동성 예측 기법에 관한 연구 (A Study on the Scheme of the Mobility Prediction for Guaranting Handoff QoS in Wireless Networks)

  • 이현욱;권태욱
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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    • pp.447-453
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    • 2008
  • It is decidedly important to ensure QoS(Quality of Service) in order to make it possible a variety of multi-media services and realtime contents services in Wireless networks. One of methods to offer these services is the advanced prediction of Handoff through terminal's directional. In this paper, it is applied that the AP weight for the ground information of peripheral cell and the weight value of history table for the cell frequently visited. Also, it is expected that will be guarant QoS of substantial data in the case of Handoff through exact directional prediction of the next cell by using Kalman Filter algorithm applied GPS coordinates value.

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A TBM tunnel collapse risk prediction model based on AHP and normal cloud model

  • Wang, Peng;Xue, Yiguo;Su, Maoxin;Qiu, Daohong;Li, Guangkun
    • Geomechanics and Engineering
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    • 제30권5호
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    • pp.413-422
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    • 2022
  • TBM is widely used in the construction of various underground projects in the current world, and has the unique advantages that cannot be compared with traditional excavation methods. However, due to the high cost of TBM, the damage is even greater when geological disasters such as collapse occur during excavation. At present, there is still a shortage of research on various types of risk prediction of TBM tunnel, and accurate and reliable risk prediction model is an important theoretical basis for timely risk avoidance during construction. In this paper, a prediction model is proposed to evaluate the risk level of tunnel collapse by establishing a reasonable risk index system, using analytic hierarchy process to determine the index weight, and using the normal cloud model theory. At the same time, the traditional analytic hierarchy process is improved and optimized to ensure the objectivity of the weight values of the indicators in the prediction process, and the qualitative indicators are quantified so that they can directly participate in the process of risk prediction calculation. Through the practical engineering application, the feasibility and accuracy of the method are verified, and further optimization can be analyzed and discussed.

협력적 추천시스템에서 유사도 가중치의 임계치 설정에 따른 선호도 예측 정확도 향상에 관한 연구 (A Study on the Improvement of Prediction Accuracy of Collaborative Recommender System under the Effect of Similarity Weight Threshold)

  • 이석준
    • 산학경영연구
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    • 제20권1호
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    • pp.145-168
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    • 2007
  • 전자상거래에서 거래되는 상품들에 대한 고객의 선호도를 사전에 파악하여 고객이 자신의 취향에 적합한 상품을 쉽게 찾도록 도와주고 전자상거래에 업체에 있어서는 목표고객의 설정을 자동적으로 처리할 수 있는 시스템이 추천시스템이다. 추천시스템은 고객과 업체 모두에게 이득을 가져올 수 있는 시스템으로 현재 많은 전자상거래 업체들이 적용 중에 있다. 본 연구는 전자상거래에서 널리 이용되고 있는 협력적 추천기법을 이용하여 고객 선호도 예측의 정확도를 향상시키기 위하여 고객들간의 선호도 유사 정도를 나타내는 유사도 가중치에 일정 범위의 임계치를 설정하였다. 임계치의 설정에 따라 선호도 예측의 정확도가 향상되었으나 임계치의 설정 범위에 따라 고객 선호도를 예측할 수 있는 비율이 감소함을 알 수 있었으며 이에 따라 추천을 할 수 없는 고객이 발생할 수 있음을 알 수 있었다. 결과를 바탕으로 고객에 대한 추천과 예측의 정확도를 동시에 고려하는 임계치 설정에 대하여 더 많은 연구가 필요하다는 것을 알 수 있었다.

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사각판 사출성형품의 최종무게 예측에 관한 연구 (A Study on the Prediction of the Final Weight for the Injection Molded Rectangular Plates)

  • 이창훈;윤경환
    • 한국정밀공학회지
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    • 제13권9호
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    • pp.130-137
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    • 1996
  • In the present paper the effect of various process conditions on the final weight of injection molded rectangular plates has been investigated in detail. The main parameters involved in the simulations were melt temperature, mold temperature, injection speed and packing pressure. The dimensions of the plate used were 100mm long, 2mm of width and polystyrene was used as a molding material. The shear viscosity of the polymeric material was treated as a function of shear rate, temperature and pressure through the whole processes including packing and cooling stages. By increasing a packing pressure the final weight of sample increased linearly. Furthermore, as the melt temperature, the mold temperature and the injection speed increased, the final weight of the injection molded plate decreased within the molding window.

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신체계측방법에 의한 거동이 제한된 노인들의 신장과 체중추정 (Estimating Stature and Weight from Anthropometry for the Elderly Who are Limited in Mobility)

  • 한경희
    • Journal of Nutrition and Health
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    • 제28권1호
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    • pp.71-83
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    • 1995
  • The purpose of the study was to develop generalized equations for estimating stature and weight for the nonambulatory elderly persons. Height weight recumbent knee height total ann length, midarm, waist and calf circumferences, triceps and subscapular skinfolds were measured from over 60 years old 315 ambulatory elderly. The equations to predict stature and weight were derived from participants in the validation sample and were applied to the participants in the cross-validation to test the accuracy and validity of equations. Stature and weight were significantly and negatively associated with age of women and similar patterns observed in men but associated to a slight degree. Knee height and total arm length were highly correlated with stature but the majority of the variances in stature was accounted for by knee height for both the men and women. In men, waist circumference was the most significantly correlated with weight and am, calf circumferences and so forth. But in women arm circumference was the highest then waist and calf circumference in order. The possible predictor variables to estimate of stature were knee height total arm length and age for both elderly men and women. Predictor variables to estimate of weight were recumbent measures of waist am, calf circumferences and knee height for both sexes. Inclusion of skinfold thickness measurements did not improve the prediction power of estimation for weight. When both equations developed from the present study and Chumlea's study were applied to cross-valida-tions samples, the equations derived from present study showed better accuracy and validity. The presentation of prediction equations using two, three, or four recommended measurements allows the selection of an equation based upon the measurements that are possible to collect on an individual basis.

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