SVM Method for generating toxicity prediction model of metal nano-material using Support Vector Machine algorithm and apparatus therefor
A method and apparatus for generating a toxicity prediction model of metal nanomaterials using a support vector machine (SVM) technique is disclosed. A method for generating a toxicity prediction model of a metal nanomaterial according to an embodiment of the present invention comprises the steps of...
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Language | English Korean |
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08.05.2018
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Abstract | A method and apparatus for generating a toxicity prediction model of metal nanomaterials using a support vector machine (SVM) technique is disclosed. A method for generating a toxicity prediction model of a metal nanomaterial according to an embodiment of the present invention comprises the steps of collecting attribute data for metal nanomaterials; scoring attribute data for the metal nanomaterials based on the collected attribute data; and generating a toxicity prediction model for the metal nanomaterials through a predefined technique using the scored attribute data, wherein the step of generating the toxicity prediction model may generate a toxicity prediction model for the metal nanomaterials using an SVM technique.
SVM 기법을 이용한 금속 나노물질의 독성 예측 모델 생성 방법 및 장치가 개시된다. 본 발명의 일 실시예에 따른 금속 나노물질의 독성 예측 모델 생성 방법은 금속 나노 물질들에 대한 속성들 데이터를 수집하는 단계; 상기 수집된 속성들 데이터를 기반으로 상기 금속 나노 물질들에 대한 속성들 데이터를 점수화하는 단계; 및 상기 점수화된 속성들 데이터를 이용한 미리 정의된 기법을 통해 상기 금속 나노 물질들에 대한 독성 예측 모델을 생성하는 단계를 포함하고, 상기 독성 예측 모델을 생성하는 단계는 SVM(Support Vector Machine) 기법을 이용하여 상기 금속 나노 물질들에 대한 독성 예측 모델을 생성할 수 있다. |
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AbstractList | A method and apparatus for generating a toxicity prediction model of metal nanomaterials using a support vector machine (SVM) technique is disclosed. A method for generating a toxicity prediction model of a metal nanomaterial according to an embodiment of the present invention comprises the steps of collecting attribute data for metal nanomaterials; scoring attribute data for the metal nanomaterials based on the collected attribute data; and generating a toxicity prediction model for the metal nanomaterials through a predefined technique using the scored attribute data, wherein the step of generating the toxicity prediction model may generate a toxicity prediction model for the metal nanomaterials using an SVM technique.
SVM 기법을 이용한 금속 나노물질의 독성 예측 모델 생성 방법 및 장치가 개시된다. 본 발명의 일 실시예에 따른 금속 나노물질의 독성 예측 모델 생성 방법은 금속 나노 물질들에 대한 속성들 데이터를 수집하는 단계; 상기 수집된 속성들 데이터를 기반으로 상기 금속 나노 물질들에 대한 속성들 데이터를 점수화하는 단계; 및 상기 점수화된 속성들 데이터를 이용한 미리 정의된 기법을 통해 상기 금속 나노 물질들에 대한 독성 예측 모델을 생성하는 단계를 포함하고, 상기 독성 예측 모델을 생성하는 단계는 SVM(Support Vector Machine) 기법을 이용하여 상기 금속 나노 물질들에 대한 독성 예측 모델을 생성할 수 있다. |
Author | HA KIEU MY YOON, TAE HYUN KIM, JIN BAE TRINH XUAN TUNG |
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DocumentTitleAlternate | SVM 기법을 이용한 금속 나노물질의 독성 예측 모델 생성 방법 및 장치 |
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Snippet | A method and apparatus for generating a toxicity prediction model of metal nanomaterials using a support vector machine (SVM) technique is disclosed. A method... |
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Title | SVM Method for generating toxicity prediction model of metal nano-material using Support Vector Machine algorithm and apparatus therefor |
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