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Diagnosis of Breast Hyperplasia and Evaluation of RuXian-I Based on Metabolomics Deep Belief Networks
- Source :
- International Journal of Molecular Sciences, Volume 20, Issue 11, International Journal of Molecular Sciences, Vol 20, Iss 11, p 2620 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- Breast cancer is estimated to be the leading cancer type among new cases in American women. Core biopsy data have shown a close association between breast hyperplasia and breast cancer. The early diagnosis and treatment of breast hyperplasia are extremely important to prevent breast cancer. The Mongolian medicine RuXian-I is a traditional drug that has achieved a high level of efficacy and a low incidence of side effects in its clinical use. However, for detecting the efficacy of RuXian-I, a rapid and accurate evaluation method based on metabolomic data is still lacking. Therefore, we proposed a framework, named the metabolomics deep belief network (MDBN), to analyze breast hyperplasia metabolomic data. We obtained 168 samples of metabolomic data from an animal model experiment of RuXian-I, which were averaged from control groups, treatment groups, and model groups. In the process of training, unlabelled data were used to pretrain the Deep Belief Networks models, and then labelled data were used to complete fine-tuning based on a limited-memory Broyden Fletcher Goldfarb Shanno (L-BFGS) algorithm. To prevent overfitting, a dropout method was added to the pretraining and fine-tuning procedures. The experimental results showed that the proposed model is superior to other classical classification methods that are based on positive and negative spectra data. Further, the proposed model can be used as an extension of the classification method for metabolomic data. For the high accuracy of classification of the three groups, the model indicates obvious differences and boundaries between the three groups. It can be inferred that the animal model of RuXian-I is well established, which can lay a foundation for subsequent related experiments. This also shows that metabolomic data can be used as a means to verify the effectiveness of RuXian-I in the treatment of breast hyperplasia.
- Subjects :
- 0301 basic medicine
Oncology
medicine.medical_specialty
Breast Hyperplasia
Breast Neoplasms
Overfitting
Article
Catalysis
lcsh:Chemistry
Inorganic Chemistry
03 medical and health sciences
Deep belief network
0302 clinical medicine
Metabolomics
Breast cancer
breast cancer
Internal medicine
Evaluation methods
medicine
Humans
Computer Simulation
Physical and Theoretical Chemistry
Mammary Glands, Human
lcsh:QH301-705.5
Molecular Biology
Spectroscopy
Dropout (neural networks)
Hyperplasia
business.industry
Organic Chemistry
Cancer type
deep belief networks
General Medicine
Models, Theoretical
metabolomic data
medicine.disease
Computer Science Applications
030104 developmental biology
lcsh:Biology (General)
lcsh:QD1-999
030220 oncology & carcinogenesis
Female
business
Mongolian medicine
Subjects
Details
- Language :
- English
- ISSN :
- 14220067
- Database :
- OpenAIRE
- Journal :
- International Journal of Molecular Sciences
- Accession number :
- edsair.doi.dedup.....b2fe55556c19c44ec8ffe26c2bc19e05
- Full Text :
- https://doi.org/10.3390/ijms20112620