AIMC Topic: Medicine, Chinese Traditional
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TCMPR: TCM Prescription Recommendation Based on Subnetwork Term Mapping and Deep Learning.
BioMed research international
Feb 17, 2022
Traditional Chinese medicine (TCM) has played an indispensable role in clinical diagnosis and treatment. Based on a patient's symptom phenotypes, computation-based prescription recommendation methods can recommend personalized TCM prescription using ...
Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.
Computational and mathematical methods in medicine
Feb 12, 2022
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. There...
Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans.
Scientific reports
Jan 7, 2022
Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the characteristics of improper secretion of insulin in pancreas that results in high glucose level in blood. The disease is also associated with other c...
SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine.
Journal of healthcare engineering
Jan 4, 2022
Syndrome differentiation is the most basic diagnostic method in traditional Chinese medicine (TCM). The process of syndrome differentiation is difficult and challenging due to its complexity, diversity, and vagueness. Recently, artificial intelligent...
Application and Development of Intelligent Medicine in Traditional Chinese Medicine.
Current medical science
Dec 7, 2021
As modern science and technology constantly progresses, the fields of artificial intelligence, mixed reality technology, remote technology, etc. have rapidly developed. Meanwhile, these technologies have been gradually applied to the medical field, l...
Machine Learning Approaches in Traditional Chinese Medicine: A Systematic Review.
The American journal of Chinese medicine
Dec 2, 2021
Machine learning (ML), as a branch of artificial intelligence, acquires the potential and meaningful rules from the mass of data via diverse algorithms. Owing to all research of traditional Chinese medicine (TCM) belonging to the digitalization of cl...
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.
Neural networks : the official journal of the International Neural Network Society
Nov 16, 2021
Prescription of Traditional Chinese Medicine (TCM) is a precious treasure accumulated in the long-term development of TCM. Artificial intelligence (AI) technology is used to build herb recommendation models to deeply understand regularities in prescr...
Exploring the Underlying Mechanism of Shenyankangfu Tablet in the Treatment of Glomerulonephritis Through Network Pharmacology, Machine Learning, Molecular Docking, and Experimental Validation.
Drug design, development and therapy
Nov 9, 2021
PURPOSE: This study aimed to explore the underlying mechanisms of Shenyankangfu tablet (SYKFT) in the treatment of glomerulonephritis (GN) based on network pharmacology, machine learning, molecular docking, and experimental validation.
Multitask Interactive Attention Learning Model Based on Hand Images for Assisting Chinese Medicine in Predicting Myocardial Infarction.
Computational and mathematical methods in medicine
Oct 26, 2021
Acute myocardial infarction (AMI) is one of the most serious and dangerous cardiovascular diseases. In recent years, the number of patients around the world has been increasing significantly, among which people under the age of 45 have become the hig...
FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule.
Pharmacological research
Sep 2, 2021
Traditional Chinese medicine (TCM) formula is widely used for thousands of years in clinical practice. With the development of artificial intelligence, deep learning models may help doctors prescribe reasonable formulas. Meanwhile, current studies of...
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