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Diabetes is one of the most prevalent diseases worldwide, and hundreds of millions of patients are suffering from diabetes and its serious complications. Early detection and early treatment are urgent needed for clinical diagnosis of diabetics. In this work, we establish a gene coexpression network framework to identify biomarkers of transcripts with highly different gene coexpression patterns in...
Objective: Exploring the regular pattern in combination characteristics of tongue, complexion and pulse in Traditional Chinese Medicine (TCM) and further discussing the standardization of syndrome differentiation of Chronic Gastritis. Methods: Based on 919 Chronic Gastritis cases collected, we combined the algorithms of SM spectral clustering with modularity to identifying sign groups for the involved...
The objectiveness of Traditional Chinese Medicine (TCM) limits its further development and generalization. Big data provide the golden opportunity for TCM quantization. The main purpose of this paper is to build a bridge between data analysis and clinical experience and provide experimental support for TCM experience. Taking the Hepatitis B disease data as experimental subject, we propose a framework...
Multi-label learning task is using to solve problems of syndrome diagnosis for patients may simultaneously have more than one syndrome in traditional Chinese medicine (TCM). The two goals of multi-label learning are label prediction loss and relevance ordering loss. Most Multi-label learning algorithms focus on only one of the goals and neglect the other one. However, there is a multi-label learning...
In traditional medical diagnosis, the aim of using classification learning models is for high diagnosis accuracy. However, accurate class probability estimate is more desirable than prediction accuracy in practical medical diagnosis application. Although several probability estimation models based on decision trees have been adopted in many other areas, they both have an obstacle to achieving accurate...
Purpose: The analysis of syndrome distribution and the association between syndrome-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diagnosis and treatment of CG. Method: This paper applies the investigation method of clinical epidemiology, adopts probability statistics method and comes up with the concept of associated density...
In this study, we collected cases by means of uniform Information- Collection Scale of Inquiry Diagnosis for Cardiovascular Diseases in TCM. The diagnostic criteria were established, and each case was interpreted by associate chief physician or senior doctor. The value “1 or 0” was assigned to “with or without” information. By using Epidate 3.1, the information collected was entered by two persons...
Coronary heart disease (CHD) is a common cardiovascular disease in the elderly, which causes high death rate and low cure rate. Therefore, the TCM diagnosis objectification is important. This paper proposes the Relative Associated Density (RAD) method to analyze the data set. RAD results of the symptoms to syndromes are used in performing feature selection, and the prediction results with different...
There is growing evidence that traditional Chinese medicine (TCM) plays an important role in the diagnosis and therapy of diseases. However, it is difficult to be analyzed and understood by modern science, which seriously block its development. So there is an urgent need to explore an automatic diagnosis system of traditional Chinese medicine. This paper analyzes the proper of traditional Chinese...
A simulation of an influenza pandemic is analyzed for the greater Ann Arbor, Michigan region. Focus is placed on a Pandemic Urgent Care center (PUC), where patients of mild and moderate severity are treated. The number of registration assistants, doctors, and nurses to staff as well as the amount of capacity to add to the PUC and adjoining infusion clinic is analyzed for different attack rates. Focus...
Alzheimer's disease usually causes dementia in the old people and the symptom progression of the disease phenotype displays certain patterns. One possible reason is that the nerve cells in the brains of the patients degenerate at different stages. Here, we analyze the dynamics of disease progression based on its biomolecular network. We develop a novel computational method to integrate an ensemble...
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