scholarly journals An Evaluation Based on Diabetic Retinopathy

2021 ◽  
Author(s):  
Simran Kaur ◽  
Barjinder Singh Saini
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Glucose Level ◽  
High Glucose ◽  
Diabetic Patients ◽  
High Glucose Level

Diabetic retinopathy is a globally rising disease and needs to be taken in concern. It is the problem with vision of diabetic patients due to a disease in the retina of diabetic patients.Diabetic patients have high glucose level in the blood.Our major concern is to predict the disease at early stages.The studies focusses on the modern techniques used in image processing digitally.It also puts a stress on patches classification used for the examination and prediction of diabetic retinopathy and judge the accuracy,senstivity of dataset.

Green Light Emitting Diode Irradiation Enhances Fibroblast Growth Impaired by High Glucose Level

2005 ◽  
Vol 23 (2) ◽  
pp. 167-171 ◽  
Author(s):  
Elke M. Vinck ◽  
Barbara J. Cagnie ◽  
Maria J. Cornelissen ◽  
Heidi A. Declercq ◽  
Dirk C. Cambier
Keyword(s):  
Glucose Level ◽  
High Glucose ◽  
Light Emitting Diode ◽  
Green Light ◽  
Fibroblast Growth ◽  
Light Emitting ◽  
High Glucose Level

scholarly journals Is there any Effect of Blood Glucose Level on Finger Biting?

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Hira Naeem Qureshi
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
High Glucose ◽  
Normal Glucose ◽  
Normal Glucose Level ◽  
Low Glucose ◽  
Glucose Meter ◽  
High Glucose Level

To interact glucose level of blood with finger biting was the goal of present research. 130 subjects took part in present research, where their glucose level of blood calculated. The normal glucose level in blood is in between 100 to 140mg/dl. The hyperglycemia is known as high glucose level while hypoglycemia is known as low glucose level. The biting of fingers in the mouth with teeth is known as finger biting. It also refer as onychophagia. There were 130 students take part in this research and they measured their sugar level by using glucose meter. Then they correlate the glucose level with finger biting. It was concluded from the present study that glucose level of blood has no impact on finger biting.

A diterpene derivative enhanced insulin signaling induced by high glucose level in HepG2 cells

2020 ◽  
Vol 74 (2) ◽  
pp. 434-440
Author(s):  
Peilei Hou ◽  
Yanbo Qu ◽  
Zhixin Liao ◽  
Shifeng Zhao ◽  
Yan Feng ◽  
...  
Keyword(s):  
Glucose Level ◽  
Insulin Signaling ◽  
High Glucose ◽  
Hepg2 Cells ◽  
High Glucose Level

scholarly journals Detection of Diabetic Retinopathy by Retinal Screening using Image Processing Techniques

2020 ◽  
pp. 447-457
Author(s):  
Shaziya Banu S ◽  
Ravindra S
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Nearest Neighbor ◽  
Extreme Condition ◽  
Diabetic Patients ◽  
K Nearest Neighbor ◽  
Image Processing Techniques ◽  
Primary Driver ◽  
Processing Techniques

<p>Diabetic Retinopathy (DR) is a related malady with diabetes and primary driver of sightlessness in diabetic patients. Epidemiological overview categorizes DR among four significant reasons for sight impedance. DR is a microvascular entanglement in which meager retinal veins may blast, bringing about vision misfortune. In this condition veins in retina swells and may blast in severe extreme condition. Operative medication is timely discovery by steady screenings that is by emphasizing the determination of retinal images using appropriate image processing techniques such as, Preprocessing of retinal image, image segmentation using sobel edge detector, local features extraction like mean, standard deviation, variance, Entropy, histogram values and so on. For classification of retina, system uses K-Nearest Neighbor (KNN) classifier. By adopting this approach, The classification of normal and abnormal images of retina is easy and will reduce the number of reviews for the ophthalmologists. Developing a method to automate functionality of retinal examination helps doctor to identify patient’s condition on disease. So that they can medicate the disease accordingly.</p>

scholarly journals Diabetic Retinopathy Diagnosing using Fuzzy Image Processing

2020 ◽  
Vol 8 (6) ◽  
pp. 4210-4215
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Diabetic Retinopathy ◽  
Expert System ◽  
Diagnostic System ◽  
Diabetic Patients ◽  
Input Output ◽  
Fuzzy Image ◽  
Retina Images ◽  
Oct Image

Aim: To design diagnostic expert system using fuzzy image processing for diabetic retinopathy, measures diabetic eye morbidity. Method: From this research paper, diagnosing diabetic retinopathy using fuzzy image processing for diabetic patients. Firstly collection of OCT images of the patient who has diabetic retinopathy. Author’s proposed method finds out the edge detection of the OCT image. Then fuzzy logic is applied on that result of image processing. Design a fuzzy rules and input- output parameter. This method gives accurate diagnosing the diabetic retinopathy from the image of the patient’s retina images. Result: This diagnostic system gives patient’s eye morbidity, vision threatening of the diabetic patients. In the result, edges of the retina images, and from that retinal ruptures, thickness of the proliferative in the retina. From these result, diagnostic of diabetic retinopathy conditions such as PDR, NPDR, and NORMAL, and CSME in the diabetic patients. Conclusion: author has design diagnostic system for endocrinologist and ophthalmology to diagnosed diabetic retinopathy in the patients. From this system doctors don’t need patients for diagnosing purposed.

scholarly journals Gambaran Faktor Risiko dan Tipe Stroke pada Pasien Rawat Inap di Bagian Penyakit Dalam RSUD Kabupaten Solok Selatan Periode 1 Januari 2010 - 31 Juni 2012

2013 ◽  
Vol 2 (2) ◽  
pp. 57
Author(s):  
Cintya Agreayu Dinata ◽  
Yuliarni Safrita Safrita ◽  
Susila Sastri
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Glucose Level ◽  
High Glucose ◽  
Hemorrhagic Stroke ◽  
Secondary Data ◽  
Modifiable Risk Factors ◽  
Stroke Patients ◽  
High Glucose Level

AbstrakStroke merupakan penyakit akibat gangguan peredaran darah otak yang dipengaruhi oleh banyak faktor risiko terdiri dari yang tidak dapat diubah berupa usia dan jenis kelamin dan yang dapat diubah seperti hipertensi, peningkatan kadar gula darah, dislipidemia, dan pekerjaan. Penelitian ini bertujuan untuk mengetahui distribusi tipe stroke dan faktor risiko yang berpengaruh pada pasien stroke rawat inap di RSUD Kabupaten Solok Selatan. Metode penelitian: Penelitian ini adalah penelitian deskriptif dengan menggunakan data skunder pasien stroke yang dirawat di RSUD Solok Selatan. Data yang diambil meliputi usia, jenis kelamin, tekanan darah, kadar gula darah, profil lipid saat pertama pasien masuk rumah sakit, dan pekerjaan. Sampel penelitian adalah seluruh pasien stroke yang pernah dirawat di Bagian Penyakit Dalam RSUD Kabupaten Solok Selatan pada periode 1 Januari 2010 – 31 Juni 2012 yang memenuhi kriteria inklusi. Hasil penelitian: Hasil penelitian menunjukkan proporsi stroke terbanyak adalah stroke ischemic (61,46%), perempuan (54,17%) yang berusia >50 tahun (81,25%) yang bekerja sebagai ibu rumah tangga (43,75%). Faktor risiko yang dapat diubah tertinggi adalah hipertensi (82,30%) diikuti kolesterol total meningkat (69,79%). Faktor risiko tertinggi pada stroke ischemic adalah gula darah meningkat (47,89%) dan pada stroke hemorrhagic adalah hipertensi (100,00%). Faktor risiko tertinggi pada seluruh pasien adalah hipertensi (82,30%). Kesimpulan: Berdasarkan hasil penelitian ini disimpulkan bahwa stroke tipe ischemic lebih banyak dari tipe hemorrhagic dengan faktor risiko utama hipertensi, sedangkan stroke ischemic terutama dipengaruhi oleh peningkatan gula darah.Kata kunci: stroke ischemic, stroke hemorrhagic, faktor risiko strokeAbstractStroke is a disease caused by disorder of brain blood circulation with many risk factors that contribute in this disease, consist of non modifiable risk factor including age and sex and modifiable risk factors example hypertension, high glucose level, dyslipidemia, and jobs. This study aimed to determine the distribution of the type of stroke and the risk factors that affect to stroke patients who were treat in South Solok hospital.Methods: This research is descriptive research using secondary data, including the patient’s medical record. The data including age, gender, blood pressure, glucose level, lipid profile when the first patient in the hospital, and jobs. The samples were all stroke patients who had been treat in the Department of Internal Medicine of South Solok hospital in the period from January 1st 2010 until June 31th 2012 that meet the inclusion criteria.The results: The results showed the highest proportion of strokes were ischemic stroke (61.46%), women (54.17%) aged> 50 years (81.25%) who work as housewives (43.75%). The highest of modifiable risk factors are hypertension (82.30%) followed by increases in total cholesterol (69.79%). The highest risk factors for ischemic stroke is high glucose level (47.89%) and for hemorrhagic stroke is hypertension (100.00%). The highest risk in both ischemic stroke and hemorrhagic is hypertension (82.30%).Conclusion: Based on the end result, we can concluded that the insidence of ischemic stroke disease is greater than hemorrhagic stroke, and as the main risk factor is hypertension, mean while ischemic stroke is most affected by high glucose level.Keywords: stroke ischemic, stroke hemorrhagic, faktor risiko stroke

scholarly journals 492: Effect of high glucose level on the function of human 3D cardiac micro-tissues derived from induced pluripotent stem cells

2017 ◽  
Vol 216 (1) ◽  
pp. S290-S291
Author(s):  
Michael Balistreri ◽  
Justin A. Davis ◽  
Andre Monteiro da Rocha ◽  
Katherine F. Campbell ◽  
Marjorie C. Treadwell ◽  
...  
Keyword(s):  
Stem Cells ◽  
Induced Pluripotent Stem Cells ◽  
Glucose Level ◽  
Pluripotent Stem Cells ◽  
High Glucose ◽  
High Glucose Level ◽  
Induced Pluripotent

Differential responses of bone to angiotensin II and angiotensin(1-7): beneficial effects of ANG(1-7) on bone with exposure to high glucose

2021 ◽  
Vol 320 (1) ◽  
pp. E55-E70
Author(s):  
Nan-Nan Sha ◽  
Jia-Li Zhang ◽  
Christina Chui-Wa Poon ◽  
Wen-Xiong Li ◽  
Yue Li ◽  
...  
Keyword(s):  
Angiotensin Ii ◽  
Glucose Level ◽  
High Glucose ◽  
Raw 264.7 Cells ◽  
Raw 264.7 ◽  
Ang Ii ◽  
Mineral Density ◽  
High Glucose Condition ◽  
High Glucose Level ◽  
Glucose Condition

Osteoporosis, diabetes, and hypertension are common concurrent chronic disorders. This study aimed to explore the respective effects of angiotensin II (ANG II) and angiotensin(1-7) [ANG(1-7)], active peptides in the renin-angiotensin system, on osteoblasts and osteoclasts under high-glucose level, as well as to investigate the osteo-preservative effects of ANG II type 1 receptor (AT1R) blocker and ANG(1-7) in diabetic spontaneously hypertensive rats (SHR). ANG II and ANG(1-7), respectively, decreased and increased the formation of calcified nodules and alkaline phosphatase activity in MC3T3-E1 cells under high-glucose level, and respectively stimulated and inhibited the number of matured osteoclasts and pit resorptive area in RANKL-induced bone marrow macrophages. Olmesartan and Mas receptor antagonist A779 could abolish those effects. ANG II and ANG(1-7), respectively, downregulated and upregulated the expressions of osteogenesis factors in MC3T3-E1 cells. ANG II promoted the expressions of cathepsin K and MMP9 in RAW 264.7 cells, whereas ANG(1-7) repressed these osteoclastogenesis factors. ANG II rapidly increased the phosphorylation of Akt and p38 in RAW 264.7 cells, whereas ANG(1-7) markedly reduced the phosphorylation of p38 and ERK under high-glucose condition. After treatments of diabetic SHR with valsartan and ANG(1-7), a significant increase in trabecular bone area, bone mineral density, and mechanical strength was only found in the ANG(1-7)-treated group. Treatment with ANG(1-7) significantly suppressed the increase in renin expression and ANG II content in the bone of SHR. Taken together, ANG II/AT1R and ANG(1-7)/Mas distinctly regulated the differentiation and functions of osteoblasts and osteoclasts upon exposure to high-glucose condition. ANG(1-7) could protect SHR from diabetes-induced osteoporosis.

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