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Objective: To propose a method for clinical terminology extraction of traditional Chinese medicine (TCM). Methods: Conditional probability was used to measure the internal aggregation of terminologies while information entropy measuring the boundary degree of freedom (DOF), so as to establish a method to extract the clinical terminologies of TCM. Different model thresholds were set up to analyze the...
Cancer is the one of the hazardous disease in the world. Cancer spreads in lungs, liver, breast, bones etc. Liver cancer is the most dangerous and it will continue lifelong. The symptoms of liver cancer are Jaundice, loss of weight, yellow colored urine, vomiting, pain in the upper right abdomen, sweats, fever and enlarged liver. The liver cancer which begins in the liver apart from moving from other...
Liver segmentation in abdominal CT images is vital prior to liver disease diagnosis and computer-aided diagnosis. Since an abdominal CT image is some complex in which the pixels of the liver region and some other adjacent parts often distribute in the same value range, commonly used value-based segmentation methods have difficulty in dealing with this situation. In order to overcome this shortcoming,...
Gene expression microarray has become a major source for producing high-throughput experiment data. Data mining has been widely applied to dissect the genetic basis of complex diseases. Mining raw, probe-level data leads to a comprehensive understanding of the overall data set, which is especially useful when the goals of the research are different from the original data producer or contributor. Starting...
Medical Data Mining is one of the most challenging fields of Data Mining. The greatest challenge lies in classifying the diseases with high classification accuracy. In this research work, image processing techniques have been used on the advanced version of our Adaptive Classifier, to generate categories for the attributes of sample medical datasets. The advanced version of our Adaptive Classifier...
Improvement of classification accuracy is importance in data analysis problems. Enhancement of techniques have been proposed previously to address the problems as regard to classification performance, however, the issues of misclassification and noise elimination in the early stage of processing have been ignored by many researchers. If these problems were addressed, the performance of the classification...
Cancer diagnosis and treatment has a great significance due to the prevalent episodes of the diseases, high death rate and reappearance after treatment. On the world scale, cancer stands in the fifth position which causes death. Among the various cancers, liver cancer stands in the third position. Liver cancer is generally diagnosed by three different test like blood test, image test and biopsy. To...
The nucleotide sequence of biological databases is growing long terms of quantity, memory and complexity, managing these databases is becoming very complex. In this paper focuses Hidden Markov Model (HMM), has increased on the Pattern recognition domain primarily because of its strong mathematical basis and the ability to adapt to unknown of nucleotide sequence of normal and cancer affected liver...
Insomnia was the most common sleep problem among about one half of elder adults. Throughout centuries of clinical practice, treatment of this disease with traditional Chinese medicine (TCM) was being increasingly demonstrated advantage. Nevertheless, there are few documents concerning the composition rules of Chinese herbs according to pattern differentiation for treating insomnia. This present study...
Through several thousands years of clinical research and theoretical thoughts, traditional Chinese medicine (TCM) has accumulated rich experience on hypertension. However, the usage of Chinese herbal medicines (CHMs) in formulae is flexible in TCM clinical practice according to pattern differentiation. So, it is important to get the composition rules of Chinese herbal medicines through literatures...
Objective: Analysis and Data Mining the treatment laws of Coronary Heart Disease by famous old TCM doctor Wang Xing-kuan. Explore the methods of famous old TCM doctor's experience. Method: To collect 143 effective cases and 267 diagnoses, and establish Coronary Heart Disease clinic database, the study investigated the inherent laws of Treating Coronary Heart Disease by Prof. Wang. Result : In the...
Objective: We evaluated patients who had accepted peritoneal dialysis for more than 1 months, aimed at making the preliminary exploration and summarizing the syndrome distribution and evolution law of peritoneal dialysis patients, for the next step of traditional Chinese medicine compound intervention to lay a theoretical and practical basis. Methods: We adopted observational study method, interviewed...
In traditional Chinese medicine (TCM), it is frequently found that more than one syndrome of a patient are recognized in clinical practice, which has its own symptoms and signs. While, most algorithms are used to solve issues of syndrome diagnosis that only focus on one syndrome. Therefore, we proposed a hybrid intelligent syndrome diagnosis (HISD) model. Methods. The HTSD model combined feature selection...
The five-year survival rate of liver cancer is low, 14% according to the Surveillance, Epidemiology, and End Results (SEER) Program database of the National Cancer Institute from 2003 to 2007 [3]. Since in the early stages of liver cancer, patients usually do not show signs or symptoms, improving early diagnosis is essential in order to reduce morbidity and mortality rates.
The shared emerging patterns (SEPs) is a special form of emerging patterns(EPs). In the field of data mining, EPs represents the knowledge of strong characters in one dataset and it is very important for building classifier. However, SEPs represents the shared knowledge of strong characters in two or more datasets and it has great potential for applying in analogy and transfer learning. When the training...
Traditional Chinese Medicine (TCM) has been widely used to treat various diseases like infectious diseases. Treatment Based on Syndrome Differentiation (TBSD) is the main principle in TCM clinical practice. So exploring the relationships between diagnoses and treatments from successful cases is important and valuable for better treating hepatitis diseases, which is a decision support problem based...
In order to solve the problems that how to mine and express classification knowledge and rules in compatibility of prescription, this paper introduces a new theory of formal concept analysis (FCA), and realizes the compatibility of prescription knowledge mining. Meanwhile, the prescription drugs of reverting yin disease treatment in Treatise on febrile diseases are selected to apply the FCA theory...
Sharing data provides great benefit to the research community. But disclosing identifiable, sensitive information such as medical records can cause irreparable damage. A number of methods have been proposed to anon Mize sensitive information. With some approaches, term relationships in the data may help to re-identify the original data given the de-identified data. This papers studies the significance...
Successful liver surgery requires a clear understanding of the differences in liver shapes and vessel distribution in different individuals. Furthermore, in clinical medicine, there is a high demand for surgical assistance systems for individual patients. Therefore, we aim to segment the liver on the basis of the CT volume data, semi-automatically extract the vessels from the segmented livers and...
Extraction of meaningful information from large experimental data sets is a key element in bioinformatics research. One of the challenges is to identify genomic markers in Hepatitis B Virus (HBV) that are associated with HCC (liver cancer) development by comparing the complete genomic sequences of HBV among patients with HCC and those without HCC. In this study, a data mining framework, which includes...
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