Prediction of the eight common acute poisoning agents based on clinical features using Deep Neural Network (DNN) derived from the National Poison Data System (NPDS)

被引：0

作者：

Mehrpour, Omid ^{[1
]}

Hoyte, Christopher ^{[2
]}

Al Masud, Abdullah ^{[3
]}

Biswas, Ashish ^{[4
]}

Schimmel, Jonathan ^{[5
]}

Nakhaee, Samaneh ^{[6
]}

Nasr, Mohammad Sadegh ^{[7
]}

Delva-Clark, Heather ^{[8
]}

Goss, Foster ^{[2
]}

机构：

[1] Wayne State Univ, Michigan Poison & Drug Informat Ctr, Sch Med, Detroit, MI USA

[2] Univ Colorado, Dept Emergency Med, Sch Med, Aurora, CO USA

[3] Hiperdyne Corp, Tokyo, Japan

[4] Univ Colorado Denver, Dept Comp Sci & Engn, Denver, CO USA

[5] Mt Sinai Hosp, Dept Emergency Med, Div Med Toxicol, Icahn Sch, New York, NY USA

[6] Birjand Univ Med Sci, Med Toxicol & Drug Abuse Res Ctr MTDRC, Birjand, Iran

[7] Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX USA

[8] CPC Clin Res, Aurora, CO USA

来源：

关键词：

Poisoning; PyTorch; Keras;

D O I：

暂无

中图分类号：

R99 [毒物学（毒理学）];

学科分类号：

100405 ;

摘要：

287

引用

页码：140 / 140

页数：1