Literature DB >> 30334471

How far have decision tree models come for data mining in drug discovery?

Verena Schöning1, Felix Hammann1.   

Abstract

Keywords:  QSAR; decision forest; decision tree induction; deep learning; random forest

Mesh：

Year:  2018        PMID： 30334471     DOI： 10.1080/17460441.2018.1538208

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN： 1746-0441            Impact factor:   6.098


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  4 in total

1.  Ontological model of multi-agent Smart-system for predicting drug properties based on modified algorithms of artificial immune systems.

Authors:  Galina Samigulina; Zarina Samigulina
Journal:  Theor Biol Med Model       Date:  2020-07-20       Impact factor: 2.432

2.  Predicting subretinal fluid absorption with machine learning in patients with central serous chorioretinopathy.

Authors:  Fabao Xu; Yifan Xiang; Cheng Wan; Qijing You; Lijun Zhou; Cong Li; Songjian Gong; Yajun Gong; Longhui Li; Zhongwen Li; Li Zhang; Xiayin Zhang; Chong Guo; Kunbei Lai; Chuangxin Huang; Hongkun Zhao; Chenjin Jin; Haotian Lin
Journal:  Ann Transl Med       Date:  2021-02

3.  Predicting Central Serous Chorioretinopathy Recurrence Using Machine Learning.

Authors:  Fabao Xu; Cheng Wan; Lanqin Zhao; Qijing You; Yifan Xiang; Lijun Zhou; Zhongwen Li; Songjian Gong; Yi Zhu; Chuan Chen; Cong Li; Li Zhang; Chong Guo; Longhui Li; Yajun Gong; Xiayin Zhang; Kunbei Lai; Chuangxin Huang; Hongkun Zhao; Daniel Ting; Chenjin Jin; Haotian Lin
Journal:  Front Physiol       Date:  2021-11-25       Impact factor: 4.566

4.  Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.

Authors:  Robert Ancuceanu; Marilena Viorica Hovanet; Adriana Iuliana Anghel; Florentina Furtunescu; Monica Neagu; Carolina Constantin; Mihaela Dinu
Journal:  Int J Mol Sci       Date:  2020-03-19       Impact factor: 5.923
  4 in total

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