Traditional Chinese Medicine Information Analysis Based on Multi-task Joint Learning Model

Hu, Chenyuan; Yan, Zhuangzhi; Jiang, Jiehui; Zhang, Shuoyan; Gu, Tianyu

doi:10.1007/978-981-16-6963-7_25

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Opened the door. In the 1980s, inspired convolutional NNs [14] and recurrent NNs [15] were successively proposed, and in the 1990s, LeNet [16] was applied to digit recognition and achieved good results. 2006 In 2009, due to the initial successful application of deep NN theory in machine learning, Hinton et al proposed the concept of deep learning [17], which attracted people's attention.…”

Section: Introductionmentioning

confidence: 99%

Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities

Ma¹

2023

3C Tecnología

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Curriculum ideology and politics is an inherent requirement to achieve the goal of "cultivating morality and cultivating people" in colleges and universities, and it is a beneficial exploration to realize the three-round education. The ideological and political construction of professional courses in colleges and universities not only teaches students knowledge and skills, but also helps students form correct values. Aiming at how to build ideological and political courses in colleges and universities, a design method based on multi-parameter fusion to gradually optimize deep NN is proposed. Firstly, the initial NN model without hidden layer is determined by analyzing the samples and categories, and then the hidden layer is gradually added on the basis of the initial NN to construct a deep NN with multi-parameter fusion optimization. Based on the TensorFlow framework, taking handwritten digit recognition as an example, a deep NN model is gradually designed. During the whole experiment, the network structure, activation function, loss function, optimizer, learning rate and sample batch size are continuously adjusted, and finally a multi-parameter design is designed. The fusion optimized deep NN model with high accuracy provides an effective idea for building a NN. As the learning rate increases, the performance of the NN gradually improves. In the training set and test set, the accuracy rate is almost the highest when the learning rate is 0.3, and the accuracy rate is 93.30% and 92.58% respectively when the number of iterations is 30, which shows that The NN optimized by multi-parameter fusion can be well applied to the ideological and political construction of professional courses in colleges and universities, and has strong application prospects.

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Section: Introductionmentioning

confidence: 99%

Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities

Ma¹

2023

3C Tecnología

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“…In recent years, with the widespread application of big data and artificial intelligence technology in many fields especially medical treatment and education, artificial intelligence technology has become a favorable tool for development of modern Chinese medicine. [3][4][5][6][7][8][9] With the help of information technology, many researchers carried out active exploration in the collection of clinical diagnosis and treatment data of veteran TCM doctors, the informatization of typical medical records, as well as the analysis and mining of common regularities, etc. The intersection of artificial intelligence with inheritance of the thought and experience of TCM doctors presented an underexplored yet promising research avenue.…”

mentioning

confidence: 99%

The intelligent experience inheritance system for Traditional Chinese Medicine

Ren¹,

Guo

Wang

et al. 2023

J Evidence Based Medicine

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The inheritance of knowledge and experience was crucial to the development of Traditional Chinese Medicine (TCM). However, the existing methods of inheriting the unique clinical experience of famous veteran TCM doctors still followed the outdated and inefficient Master‐Prentice schema. In addition, the inherited medical books and records were usually lack of standardization and systematization. In this article, a new method for inheriting the academic thoughts and clinical experience of famous veteran doctors with the help of artificial intelligence technology was explored. Due to the individualized treatment characteristics namely “same disease with different treatments, different diseases with the same treatment,” the intelligent inheritance of TCM faced many technical barriers. To tackle these problems, we proposed a prototype system framework for the intelligent inheritance of famous veteran doctors based on rules and deep learning models and performed a case study on the treatment of pediatric asthma. The architecture could not only make full use of the advantages of deep learning, but also integrate the valuable knowledge and experience analysis of famous veteran doctors from injected rules. Specifically, the study took pediatric asthma medical records as training and test samples and calculated the similarity between the generated prescriptions and the real‐world clinical prescriptions from the famous veteran doctors. Experimental results showed that the generated prescription could achieve a similarity of more than 90%. It proved that the proposed framework provided a feasible way for the intelligent inheritance and research of the academic thoughts and clinical experience of famous veteran TCM doctors.

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Prediction of Cognitive Progression Due to Alzheimer's Disease in Normal Participants Based on Individual Default Mode Network Metabolic Connectivity Strength

Zhang,

Li,

Wei

et al. 2024

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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Traditional Chinese Medicine Information Analysis Based on Multi-task Joint Learning Model

Cited by 3 publications

References 15 publications

Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities

Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities

The intelligent experience inheritance system for Traditional Chinese Medicine

Prediction of Cognitive Progression Due to Alzheimer's Disease in Normal Participants Based on Individual Default Mode Network Metabolic Connectivity Strength

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