Innovative Development Measures of the Chinese Medicine Industry in Industrial Big Data with the Aid of AI in the Context of an Imperfectly Competitive Market Economy
The use of traditional Chinese medicine for healthcare has been on the rise in recent years, leading to the rapid development of the industry in China. However, the industry still faces several challenges, including the supply of raw materials, changing market demands, and competition from foreign c...
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| Published in | Applied artificial intelligence Vol. 37; no. 1 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Philadelphia
Taylor & Francis
31.12.2023
Taylor & Francis Ltd Taylor & Francis Group |
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| Abstract | The use of traditional Chinese medicine for healthcare has been on the rise in recent years, leading to the rapid development of the industry in China. However, the industry still faces several challenges, including the supply of raw materials, changing market demands, and competition from foreign competitors, especially during the current era of rampant epidemics. To address these challenges, advanced technologies such as artificial intelligence (AI) can play a significant role in enhancing the innovation and competitiveness of the Chinese medicine industry. One such technology is the Long Short-Term Memory (LSTM) algorithm, a recurrent neural network that has proven effective in processing and analyzing sequential data. By utilizing this algorithm, the Chinese medicine industry can harness the vast amounts of data generated during various stages of production, from raw material selection to clinical practice. This can optimize processes, improve product quality, and enhance treatment outcomes. |
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| AbstractList | The use of traditional Chinese medicine for healthcare has been on the rise in recent years, leading to the rapid development of the industry in China. However, the industry still faces several challenges, including the supply of raw materials, changing market demands, and competition from foreign competitors, especially during the current era of rampant epidemics. To address these challenges, advanced technologies such as artificial intelligence (AI) can play a significant role in enhancing the innovation and competitiveness of the Chinese medicine industry. One such technology is the Long Short-Term Memory (LSTM) algorithm, a recurrent neural network that has proven effective in processing and analyzing sequential data. By utilizing this algorithm, the Chinese medicine industry can harness the vast amounts of data generated during various stages of production, from raw material selection to clinical practice. This can optimize processes, improve product quality, and enhance treatment outcomes. |
| Author | Wang, Li |
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| Copyright | 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. 2023 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Title | Innovative Development Measures of the Chinese Medicine Industry in Industrial Big Data with the Aid of AI in the Context of an Imperfectly Competitive Market Economy |
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