scholarly journals Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yang Xiang ◽  
Lai Shujin ◽  
Chang Hongfang ◽  
Wen Yinping ◽  
Yu Dawei ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Fundus Photography ◽  
Diabetes Diagnosis ◽  
Medical Resources ◽  
New Approach

In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabetes mellitus can be accurately diagnosed using conventional methods, these methods require the collection of data in a clinical setting and are unlikely to be feasible in areas with few medical resources. This technique combines an analysis of fundus photography of the physical and physiological features of the patient, namely, the tongue and the pulse, which are used in Traditional Chinese Medicine. A random forest algorithm was used to analyze the data, and the accuracy, precision, recall, and F1 scores for the correct classification of diabetes were 0.85, 0.89, 0.67, and 0.76, respectively. The proposed technique for diabetes diagnosis offers a new approach to the diagnosis of diabetes, in that it may be convenient in regions that lack medical resources, where the early detection of diabetes is difficult to achieve.

The challenges of diagnosing diabetes in childhood

Diagnosis ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mairi Pucci ◽  
Marco Benati ◽  
Claudia Lo Cascio ◽  
Martina Montagnana ◽  
Giuseppe Lippi
Keyword(s):  
Diabetes Mellitus ◽  
Children And Young People ◽  
Narrative Literature ◽  
Diagnosis And Classification ◽  
Narrative Literature Review ◽  
Optimal Approach ◽  
Diagnostic Step

AbstractDiabetes is one of the most prevalent diseases worldwide, whereby type 1 diabetes mellitus (T1DM) alone involves nearly 15 million patients. Although T1DM and type 2 diabetes mellitus (T2DM) are the most common types, there are other forms of diabetes which may remain often under-diagnosed, or that can be misdiagnosed as being T1DM or T2DM. After an initial diagnostic step, the differential diagnosis among T1DM, T2DM, Maturity-Onset Diabetes of the Young (MODY) and others forms has important implication for both therapeutic and behavioral decisions. Although the criteria used for diagnosing diabetes mellitus are well defined by the guidelines of the American Diabetes Association (ADA), no clear indications are provided on the optimal approach to be followed for classifying diabetes, especially in children. In this circumstance, both routine and genetic blood test may play a pivotal role. Therefore, the purpose of this article is to provide, through a narrative literature review, some elements that may aid accurate diagnosis and classification of diabetes in children and young people.

scholarly journals Distribution of traditional Chinese medicine syndromes in type 2 diabetes mellitus with chronic heart failure

Medicine ◽  
2020 ◽  
Vol 99 (30) ◽  
pp. e21091
Author(s):  
Hui Wang ◽  
Jun Zhang ◽  
Chun-fang Shi ◽  
Jing Jia ◽  
Zhi-min Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Chronic Heart Failure ◽  
Traditional Chinese Medicine

The in vitro Anti-Herpes Simplex Virus Type-1 and Type-2 Activity of Long Dan Xie Gan Tan, a Prescription of Traditional Chinese Medicine

Chemotherapy ◽  
2008 ◽  
Vol 54 (2) ◽  
pp. 77-83 ◽  
Author(s):  
Hua-Yew Cheng ◽  
Hsin-Hsin Huang ◽  
Chien-Min Yang ◽  
Liang-Tzung Lin ◽  
Chun-Ching Lin
Keyword(s):  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Virus Type ◽  
Herpes Simplex Virus Type ◽  
Simplex Virus

scholarly journals Network Pharmacology Analysis of Traditional Chinese Medicine Formula Xiao Ke Yin Shui Treating Type 2 Diabetes Mellitus

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Jiewen Zhou ◽  
Qiuyan Wang ◽  
Zhinan Xiang ◽  
Qilin Tong ◽  
Jun Pan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Target Genes ◽  
Network Pharmacology ◽  
Ppi Networks ◽  
Chinese Medicine Formula ◽  
Herb Extracts

Xiao Ke Yin Shui (XKYS) formula is a traditional Chinese medicine formula treating type 2 diabetes mellitus (T2DM). XKYS formula consists of four herbs, i.e., Coptidis rhizoma, Liriopes radix, bitter melon, and Cassiae semen. Herein, the chemical profiles of four herb extracts were investigated, and further analysis of the underlying mechanism of XKYS formula treating T2DM was performed using network pharmacology. The main components were selected for our network-based research. Targets of XKYS formula were mainly collected from two databases, SwissTargetPrediction and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and the text-mining method was also implemented. T2DM relating genes and therapeutic targets were collected from five databases. Subsequently, STRING and Cytoscape were employed for the analysis of protein-protein interaction (PPI) networks. Functional annotation and pathway analysis were conducted to investigate the functions and relating pathways of target genes. The content of 12 compounds in the herb extracts was determined. With the analysis of PPI networks, a total of 76 genes were found to be important nodes and could be defined as the main target genes regulated by XKYS formula in the treatment of T2DM and its complications. Components in XKYS formula mainly regulate proteins including protein kinase B (Akt), phosphatidylinositol 3-kinase (PI3K), insulin receptor substrate (IRS), and tumor necrosis factor (TNF). XKYS formula exerts therapeutic effects in a synergetic manner and exhibits antidiabetic effect mainly via reducing insulin resistance. These findings could be guidelines in the further investigation of this formula.

Conceptual study of malnutrition related diabetes mellitus

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Dr.Pallavi Bhirud ◽  
Dr. Borase Jayaprakash Balasaheb
Keyword(s):  
Diabetes Mellitus ◽  
Juvenile Diabetes ◽  
Lifestyle Changes ◽  
Age Group ◽  
High Prevalence ◽  
Conceptual Study ◽  
Deficiency Type

The Diabetes mellitus (DM) is a metabolic disease characterized by absolute or relative insulin deficiency. Type 1 diabetes is commonly known as juvenile diabetes, because it typically strikes during childhood and sometimes adolescents, and young age group. Now in the whole world nearly about 24% of population is suffering from diseases. The first widely accepted classification of diabetes mellitus was published by WHO in 1980 named them as IDDM (type-1) and NIDDM (type-2) and Malnutrition related diabetes mellitus (MRDM) was introduced in 1985. In India Malnutrition has high prevalence rate Malnutrition during intrauterine and early childhood period may impair growth and development. This review provides an overview of Juvenile Diabetes in children with MRDM. The juvenile diabetes and MRDM is a palliative disease. It cannot be completely cured, but can be controlled by medication, food, Ayurvedic Chikitsa and Lifestyle Changes.

Classification of Type 1 and Type 2 Diabetes Mellitus from Studies of ICA, HLA and Insulin Secretory Capacity

1987 ◽  
Vol 29 (3) ◽  
pp. 340-344
Author(s):  
Nobuo Matsuura ◽  
Kenji Fujieda ◽  
Yuhei Mikami ◽  
Hiroko Fujita ◽  
Shohei Harada ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Insulin Secretory Capacity ◽  
Secretory Capacity

scholarly journals Integrated Analysis of the Mechanisms of Da-Chai-Hu Decoction in Type 2 Diabetes Mellitus by a Network Pharmacology Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-21 ◽  
Author(s):  
Beida Ren ◽  
Ling Tan ◽  
Yiliang Xiong ◽  
Wenting Ji ◽  
Jie Mu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Network Pharmacology ◽  
Integrated Analysis ◽  
Biological Processes ◽  
Active Components

Background. The incidence of type 2 diabetes mellitus (T2DM) has increased year by year, which not only seriously affects people’s quality of life, but also imposes a heavy economic burden on the family, society, and country. Currently, the pathogenesis, diagnosis, and treatment of T2DM are still unclear. Therefore, exploration of a precise multitarget treatment strategy is urgent. Here, we attempt to screen out the active components, effective targets, and functional pathways of therapeutic drugs through network pharmacology with taking advantages of traditional Chinese medicine (TCM) formulas for multitarget holistic treatment of diseases to clarify the potential therapeutic mechanism of TCM formulas and provide a systematic and clear thought for T2DM treatment. Methods. First, we screened the active components of Da-Chai-Hu Decoction (DCHD) by absorption, distribution, metabolism, excretion, and toxicity (ADME/T) calculation. Second, we predicted and screened the active components of DCHD and its therapeutic targets for T2DM relying on the Traditional Chinese Medicine Systems Pharmacology Analysis Platform (TCMSP database) and Text Mining Tool (GoPubMed database), while using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) to obtain T2DM targets. Third, we constructed a network of the active component-target, target-pathway of DCHD using Cytoscape software (http://cytoscape.org/,ver.3.5.1) and then analyzed gene function, related biological processes, and signal pathways through the DAVID database. Results. We screened 77 active components from 1278 DCHD components and 116 effective targets from 253 ones. After matching the targets of T2DM, we obtained 38 important targets and 7 core targets were selected through further analysis. Through enrichment analysis, we found that these important targets were mainly involved in many biological processes such as oxidative stress, inflammatory reaction, and apoptosis. After analyzing the relevant pathways, the synthetic pathway for the treatment of T2DM was obtained, which provided a diagnosis-treatment idea for DCHD in the treatment of T2DM. Conclusions. This article reveals the mechanism of DCHD in the treatment of T2DM related to inflammatory response and apoptosis through network pharmacology, which lays a foundation for further elucidation of drugs effective targets.

Sign in / Sign up

Export Citation Format

Share Document