Journal of Artificial Intelligence for Medical Sciences

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5 articles
Research Article

Extraction of Characteristics of Time in “Tree Hole” Data

Xiaomin Jing, Shaofu Lin, Zhisheng Huang
Statistics show that 15 percent of depressed people died by suicide, and more than 50 percent of depressed people are thinking about suicide. Worldwide, depression has become the second leading cause of death among people aged 15–29. This paper focus on the “tree hole” message data on microblog, and...
Research Article

Exploring the Microbiota-Gut-Brain Axis for Mental Disorders with Knowledge Graphs

Ting Liu, Xueli Pan, Xu Wang, K. Anton Feenstra, Jaap Heringa, Zhisheng Huang
Gut microbiota has a significant influence on brain-related diseases through the communication routes of the gut-brain axis. Many species of gut microbiota produce a variety of neurotransmitters. In essence, the neurotransmitters are chemicals that influence mood, cognition, and behavior of the host....
Review Article

Influence of Gut Microbiota on Mental Health via Neurotransmitters: A Review

Ting Liu, K. Anton Feenstra, Jaap Heringa, Zhisheng Huang
Pages: 1 - 14
Mental disorders related to the imbalance of neurotransmitters, which are substantially affected by gut microbiota. Gut microbiota impacts on mental health by regulating the level of neurotransmitters in the host. To understand the influence of gut microbiota on mental health via neurotransmitters, we...
Research Article

Research on Construction of Knowledge Graph of Intestinal Cells

Fengfeng He, Ling Zhang, Wei Qu, Chong Teng, Dan Xie
Pages: 15 - 22
Intestinal cells play a significant role in human physiological metabolism, immune protection, and development and control of nervous system diseases. With the flourishing development of artificial intelligence technology and arrival of intestinal cellular research enthusiasm, how to obtain knowledge...
Review Article

Application of Deep Learning in Microbiome

Qiang Zhu, Ban Huo, Han Sun, Bojing Li, Xingpeng Jiang
Pages: 23 - 29
With the rapid development of high-throughput sequencing technology, massive microbial data has been accumulated. The understanding of the microbial data could help us to find the relationships between microbes and diseases. However, due to the high dimensionality, sparseness, and complexity of the data,...