Early Stages Of Diabetes Research Articles

Differential remodelling of mitochondrial subpopulations and mitochondrial dysfunction are a feature of early stage diabetes

Mitochondrial dysfunction is a feature of type I and type II diabetes, but there is a lack of consistency between reports and links to disease development. We aimed to investigate if mitochondrial structure–function remodelling occurs in the early stages of diabetes by employing a mouse model (GENA348) of Maturity Onset Diabetes in the Young, exhibiting hyperglycemia, but not hyperinsulinemia, with mild left ventricular dysfunction. Employing 3-D electron microscopy (SBF-SEM) we determined that compared to wild-type, WT, the GENA348 subsarcolemma mitochondria (SSM) are ~ 2-fold larger, consistent with up-regulation of fusion proteins Mfn1, Mfn2 and Opa1. Further, in comparison, GENA348 mitochondria are more irregular in shape, have more tubular projections with SSM projections being longer and wider. Mitochondrial density is also increased in the GENA348 myocardium consistent with up-regulation of PGC1-α and stalled mitophagy (down-regulation of PINK1, Parkin and Miro1). GENA348 mitochondria have more irregular cristae arrangements but cristae dimensions and density are similar to WT. GENA348 Complex activity (I, II, IV, V) activity is decreased but the OCR is increased, potentially linked to a shift towards fatty acid oxidation due to impaired glycolysis. These novel data reveal that dysregulated mitochondrial morphology, dynamics and function develop in the early stages of diabetes.

Порушення фізіологічних функцій нейронів верхнього шийного ганглія при цукровому діабеті

A large number of extra- and intramural ganglia in humans and animals exist. All pathways of central regulation of vegetative functions and peripheral reflex pathways pass through them, providing coordinated automatic activity of many organs and tissues. It is well known that sympathetic and sensory neurons are affected in the early stages of diabetes. Patients with diabetes often have autonomic neuropathies. They suffer from disorders of the cardiovascular system and vessels functions, from disorders of the thermoregulatory and pupilomotor functions. These disorders may be the result of the superior cervical ganglion neurons functional defects. This ganglion involves in homeostasis, innervates pineal gland, thyroid, vascular plexus, vestibular system, pupillary, carotid bodies, salivary and lacrimal glands, innervates vessels of the skull and brain. The superior cervical ganglion’s postganglionic axons also innervate the heart. However, disorders of the synaptic transmission in superior cervical ganglion neurons in diabetes remain insufficiently studied to date. Therefore, this article is about the physiological properties of the superior cervical ganglion neurons and their pathological changes in diabetes mellitus. The works about synaptic neurotransmission disorders in superior cervical ganglion neurons of animals with experimental diabetes mellitus are analyzed.

Guar gum: Properties and its Role in Pre-diabetes and Cholesterol – A Review

The guar bean (Cyamopsis tetragonoloba) is an erect annual legume and its grows about 2’–9’ high. The buds of these plants start out white and change into a light pink as the flower opens. These flowers then turn deep purple and are followed by fleshy seed pods, which are allowed to ripe and are harvested in summer. The gum extracted from the guar beans forms a gel in water, commonly referred to as guar gum. Guar is extremely draught resistant. The guar seeds used in making medicine are useful in pre-diabetic conditions and the early stages of late-onset diabetes. This review is incorporated with the uses of guar gum and its role in conditions such as pre-diabetes and cholesterol.

Early Risk Prediction of Diabetes Based on GA-Stacking

Early risk prediction of diabetes could help doctors and patients to pay attention to the disease and intervene as soon as possible, which can effectively reduce the risk of complications. In this paper, a GA-stacking ensemble learning model is proposed to improve the accuracy of diabetes risk prediction. Firstly, genetic algorithms (GA) based on Decision Tree (DT) is used to select individuals with high adaptability, that is, a subset of attributes suitable for diabetes risk prediction. Secondly, the optimized convolutional neural network (CNN) and support vector machine (SVM) are used as the primary learners of stacking to learn attribute subsets, respectively. Then, the output of CNN and SVM is used as the input of the mate learner, the fully connected layer, for classification. Qingdao desensitization physical examination data from 1 January 2017 to 31 December 2019 is used, which includes body temperature, BMI, waist circumference, and other indicators that may be related to early diabetes. We compared the performance of GA-stacking with K-nearest neighbor (KNN), SVM, logistic regression (LR), Naive Bayes (NB), and CNN before and after adding GA through the average prediction time, accuracy, precision, sensitivity, specificity, and F1-score. Results show that prediction efficiency can be improved by adding GA. GA-stacking has higher prediction accuracy. Moreover, the strong generalization ability and high prediction efficiency of GA-stacking have also been verified on the early-stage diabetes risk prediction dataset published by UCI.

Effectiveness of a Hydrophilic Curcumin-Based Formulation in Coadjuvating the Therapeutic Effect of Intravitreal Dexamethasone in Subjects With Diabetic Macular Edema.

Purpose: This study evaluates if the addition of a curcumin formulation with a polyvinylpyrrolidone-hydrophilic carrier (CHC; Diabec®, Alfa Intes, Italy) to intravitreal injections of dexamethasone (DEX-IVT) can affect the morphological retinal characteristics, extending the steroid re-treatment period in patients with diabetic macular edema (DME). Methods: A randomized controlled clinical trial was carried out in DME patients, randomly assigned to receive DEX-IVT or DEX-IVT and a CHC. The evaluation of the mean difference of central retinal thickness (CRT) was the primary aim. Secondary aims were the evaluations of best-corrected visual acuity, differences in the predetermined retinal layer thickness, the number/time of re-treatment, and the assessment of safety. Results: A total of 73 DME patients were included (35 in the control group and 38 in the combined therapy group). In both the control and combined therapy groups, the mean CRT change from T0 to the 6 months’ evaluation was significant (p = 0.00). The mean CRT result was significantly different at month 4 (p = 0.01) between the control and combined therapy groups, with a greater reduction in the combined therapy group, in particular, in patients with ≤10 years of diabetes. A trend of CRT reduction in the combined therapy group has been observed also considering patients with subfoveal neuroretinal detachment. In addition, we observed that the reduction of inner retinal layer thickness was greater in the combination group, in comparison with controls. Conclusion: The combination of a CHC to DEX-IVT is a promising therapeutic option in case of DME, in particular, for patients with early-stage diabetes and with an inflammatory phenotype. Further studies will be necessary to confirm these findings.

Effect of dietary chia supplementation on glucose metabolism and adipose tissue function markers in non-alcoholic fatty liver disease subjects.

Background: adipose tissue dysfunction is a key factor for diabetes and non-alcoholic fatty liver disease (NAFLD) development. Chia (Salvia hispanica) is an abundant source of omega-3 fatty acids, antioxidants, and fiber which could improve adipose tissue functionality. Aim: to analyze the effect of an isocaloric chia-supplemented diet on glucose metabolism, adipose tissue inflammation, and endothelial function markers in patients with NAFLD and early stages of diabetes. Methods: in 32 patients with previous NAFLD diagnosis, without known diabetes, the effect of a diet supplemented with ground chia (25 g/day/8 weeks) was evaluated. Visceral (VAF) and liver fat, plasma lipids, fatty acids, and cytokine profiles, oral glucose tolerance test (OGTT), insulinogenic index (IGI30), insulin disposition index (DIO), and endothelial progenitor cells (EPC) were analyzed. Before and after eight weeks of diet supplementation. Results: chia supplementation promoted increases in plasma alpha-linolenic acid (75 %) and fiber consumption (55 %), and a higher number of EPC (+126 %). Basal OGTT showed that nine patients had normal OGTT, 17 pre-diabetes, and six newly diagnosed diabetes. In patients with diabetes, chia favored a healthier adipose tissue (VAF -7 %, NAFLD -100 %, adiponectin +47 %, resistin -30 %, IL-6 -44 %, IL-1β -22 %) and upturn glucose metabolism through the improvement of beta-cell function (IGI30 +50 %, DIO +66 %). Conclusions: dietary supplementation with 25 g/day of ground chia may promote a healthier adipose tissue and improve pancreatic β-cell and endothelial function. Among patients with early metabolic abnormalities, phytochemical properties of chia may retard diabetes progression and advanced stages of liver damage.

Defibrinogenation Ameliorates Retinal Microgliosis and Inflammation in A CX3CR1-Independent Manner.

Microglia-mediated inflammation plays a significant role in neuronal and vascular damage in diabetic retinopathy (DR), but the mechanism linking inflammation, neurodegeneration, and impaired vascular integrity is still unclear. Previous studies from diabetic mouse models showed accumulation of fibrinogen at vessel lesions surrounded by perivascular microglial clusters. The purpose of this study was to evaluate whether the pathological hallmarks of gliosis and vascular aberrations characterized in diabetic animal models are consistent with those in diabetic human retinas, and to assess the effects of the defibrinogenating agent ancrod in retinal pathology and visual acuity in a two-hit inflammatory diabetic mouse model. Post-mortem human eyes were assessed for retinal and inflammatory gene expression by quantitative PCR. Immunohistochemical analyses in human and murine retinas were performed using markers of gliosis, vascular integrity, and fibrinogen deposition. An inflammatory microenvironment, with microgliosis and microaneurysms, was found in the diabetic human eye. Microglial activation, fibrinogen deposition, and axonal loss were also observed in the diabetic murine retina. Ancrod treatment correlated with reduced microgliosis, less fibrinogen deposition, and reduced pro-inflammatory cytokine levels in diseased retinal tissues. Together, these data suggest that fibrinogen contributes to microglia-mediated inflammation in the diabetic retina. Since retinal microgliosis, vascular pathology, and vision deficits manifest in diabetic mice irrespective of CX3CR1 genotype, our results indicate that defibrinogenation can dampen systemic neuroinflammation and vascular insults, thereby improving vision at early stages of diabetes.Summary StatementDiabetic human and murine retinas revealed pronounced microglial morphological activation and vascular abnormalities associated with inflammation. Pharmacological fibrinogen depletion using ancrod dampened microglial morphology alterations, resolved fibrinogen accumulation, rescued axonal integrity, and reduced inflammation in the diabetic murine retina.

The Effects of Early Diabetes on Duodenal Alterations in the Rats

Diabetes mellitus (DM) mainly affects functional changes in the duodenum, which plays an important role in the digestion and absorption of food. The impairment of duodenal function contributes to malnutrition, abdominal bloating and pain in diabetic patients. Thus, this study aimed to investigate the histological alterations and quantitative measurements of duodenal structures in the early stage of streptozotocin (STZ)-induced diabetic rats. Eight male Sprague-Dawley rats were divided into three control and five diabetic rats. Diabetes was induced by a single intraperitoneal dose of 60 mg/kg STZ. After four weeks of diabetic induction, the duodenum was prepared for histological study and morphometric analysis. In diabetic rats, there were deformed villi with disrupted surface epithelium and mildly distorted shapes of crypts, together with an increase in villus height and crypt depth. The epithelial cells detached from their underlying basement membrane. The goblet cells decreased in number, whereas an increased number of Cellula panethensis (Paneth cells) with pale-stained eosinophilic granules occurred in the DM group. A diabetic thickened submucosal layer was observed as enhanced duodenal glands (Brunner’s glands) hypertrophy and collagen accumulation. These findings indicated that histopathologic lesions of the duodenum developed in the early stage of diabetes. The destruction of villi, crypts, and epithelium may affect digestion and absorption. The structural changes in goblet and Cellula panethensis and duodenal glands may be associated with malfunction to protect duodenal mucosa from bacteria and stomach acid. These conditions can worsen the quality of life in diabetic individuals, leading to complications such as maldigestion, malabsorption, and duodenal ulcer.

AGE FEATURES OF THE STRUCTURE OF THE BLOOD VESSELS OF THE SOME DIGESTIVE GLANDS AND ITS RESTRUCTURING IN THE INITIAL STAGES OF EXPERIMENTAL DIABETES MELLITUS

The aim: The purpose of the work was to study the peculiarities of blood supply the pancreatic islet of the 24-month-old rat, and its restructuring during the initial periods of experimental diabetes mellitus. Materials and methods: The work was performed on 20 white outbred rats - males weighing 340-420g. 24 months of age, kept in standard vivarium conditions in compliance with all accepted ethical rules. Experimental streptozotocin diabetes mellitus was simulated in 16 animals. The material was taken on the 14th and 28th day of the experiment. Results: Reorganization of the endocrine part of the pancreas in the early stages of experimental diabetes is characterized by a decrease in the number and area of pancreatic islets, a decrease in the diameter of the lumen of arterioles, precapillaries, postcapillaries compared to the control group of animals by 7% and 5%. The diameter of the capillaries decreases by 16% and reaches 3.8 ± 0.62 μm2, and the diameter of the venules increases by 12%. In some blood vessels there are phenomena of desolation and edema of perivascular connective tissue, which is manifested by a decrease in optical density and stratification of collagen fibers. Conclusions: Thus, the reorganization of the circulatory system of the endocrine part of the pancreas of 24-month-old rats in the early stages of experimental diabetes mellitus is characterized by a decrease in the number and area of pancreatic islets.

Data Classification of Early-Stage Diabetes Risk Prediction Datasets and Analysis of Algorithm Performance Using Feature Extraction Methods and Machine Learning Techniques

Data Classification of Early-Stage Diabetes Risk Prediction Datasets and Analysis of Algorithm Performance Using Feature Extraction Methods and Machine Learning Techniques

Curcumin is a Potential Adjuvant to Alleviates Diabetic Retinal Injury via Reducing Oxidative Stress and Maintaining Nrf2 Pathway Homeostasis.

Curcumin is a natural polyphenol compound with anti-diabetic, anti-oxidative, and anti-inflammatory effects. Although many studies have reported the protective effect of curcumin in diabetes mellitus or diabetic nephropathy, there is a lack of research on curcumin in diabetic retinopathy. The purpose of this study was to investigate the therapeutic effects of curcumin on the diabetic retinal injury. Streptozotocin (STZ)-induced diabetic rats (60, n = 12 each) were respectively given curcumin orally (200 mg/kg/day), insulin subcutaneously (4–6 IU/day), and combined therapy with curcumin and insulin for 4 weeks. Retinal histopathological changes, oxidative stress markers, and transcriptome profiles from each group were observed. Curcumin, insulin, or combination therapy significantly reduced blood glucose, alleviated oxidative stress, and improved pathological damage in diabetic rats. Curcumin not only significantly reduced retinal edema but also had a better anti-photoreceptor apoptosis effect than insulin. In the early stage of diabetes, the enhancement of oxidative stress in the retina induced the adaptive activation of the nuclear factor E2-associated factor 2 (Nrf2) pathway. Treatment of curcumin alleviated the compensatory activation of the Nrf2 pathway induced by oxidative stress, by virtue of its antioxidant ability to transfer hydrogen atoms to free radicals. When curcumin combined with insulin, the effect of maintaining Nrf2 pathway homeostasis in diabetic rats was better than that of insulin alone. Transcriptomic analyses revealed that curcumin either alone, or combined with insulin, inhibited the AGE-RAGE signaling pathway and the extracellular matrix (ECM)-receptor interaction in the diabetic retina. Thus, at the early stage of diabetes, curcumin can be used to alleviate diabetic retinal injury through its anti-oxidative effect. If taking curcumin as a potential complementary therapeutic option in combination with antihyperglycemic agents, which would lead to more effective therapeutic outcomes against diabetic complications.

Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems

The rapidly increasing incidence of Diabetes Mellitus (DM) has shown that DM is a serious disease that endangered human life in all parts of the world. The late stage of Type-II DM (T2DM) in particular is accompanied by complex complications. Healthcare systems with various data mining algorithms can help the endocrinologist to find whether patients have diabetes in the early detection of T2DM. In the present research, a novel and efficient binary logistic regression (BLR) is proposed founding on feature transformation of XGBoost (XGBoost-BLR) for accurately predicting the specific type of T2DM, and making the model adaptive to more than one dataset. In order to raise the identification ratio, the databases are executed by series of preprocessing procedures which include removing outliers, normalization, and missing value processing. We select features that have a more significant effect on the results by χ2 test (CST). Then, the selected features are projected into high-dimensional feature space by XGBoost. Finally, the high-dimensional features generated can be modeled by the BLR application. The proposed XGBoost-BLR achieved a 94% and 98% identification rate for diabetes prediction in Pima Indians Diabetes Database (PIDD) and Early-Stage Diabetes Risk Prediction Database (ESDRPD).

Knockout of Macula Densa Neuronal Nitric Oxide Synthase Increases Blood Pressure in db/db Mice.

[Figure: see text].

Carbon monoxide enhances calcium transients and glucose-stimulated insulin secretion from pancreatic β-cells by activating Phospholipase C signal pathway in diabetic mice

In early stage of diabetes, insulin secretion from pancreatic β-cells is increased to deal with the elevated blood glucose. Previous studies have reported that islet-produced carbon monoxide (CO) is associated with increased glucose-stimulated insulin secretion from β-cells. However, this compensatory mechanism by which CO may act to enhance β-cell function remain unclear. In this study, we revealed that CO promoted intracellular calcium ([Ca2+]i) elevation and glucose-stimulated insulin secretion (GSIS) from pancreatic β-cells in leptin receptor deficient db/db mice but not in C57 mice. The stimulatory effects of CO on β-cell function in db/db mice was blocked by inhibition of Phospholipase C (PLC) signaling pathway. We further demonstrated that CO triggered [Ca2+]i transients and enhanced GSIS in C57 islets when β-cells overexpressed with PLCγ1 and PLCδ1, but not PLCβ1. On the other hand, reducing PLCγ1 and PLCδ1 expressions in db/db islets dramatically attenuated the stimulatory effects of CO on β-cell function, whereas interfering PLCβ1 expression had no effects on CO-induced β-cell function enhancement.Our findings showing that CO elevated [Ca2+]i and enhanced GSIS by activating PLC signaling through PLCγ1 and PLCδ1 isoforms in db/db pancreatic β-cells may suggest an important mechanism by which CO promotes β-cell function to prevent hyperglycemia. Our study may also provide new insights into the therapy for type II diabetes and offer a potential target for therapeutic applications of CO.

The analysis of Period1 gene expression in vivo and in vitro using a micro PMT system

To detect a small amount of Period1 (Per1) expression, we developed a micro-photomultiplier tube (μPMT) system which can be used both in vivo and in vitro. Using this system, we succeeded in detecting Per1 gene expression in the skin of freely moving mice over 240 times higher compared with that of the tissue contact optical sensor (TCS) as previously reported. For in vitro studies, we succeeded in detecting elevated Per1 expression by streptozotocin (STZ) treatment in the scalp hairs at an early stage of diabetes, when glucose content in the blood was still normal. In addition, we could detect elevated Per1 expression in a single whisker hair at the time of diabetes onset. These results show that our μPMT system responds to minute changes in gene expression in freely moving mice in vivo and in mice hair follicles in vitro. Furthermore, Per1 in the hair can be used for a marker of diabetic aggravation.

Non-dipping pattern in early-stage diabetes: association with glycemic profile and hemodynamic parameters.

Patients with longstanding diabetes exhibit diminished nocturnal blood pressure (BP) drop, yet this phenomenon remains understudied in the early stages of the disease. Eighty patients with newly diagnosed (<6 months) Diabetes Mellitus type 2 (T2DM) and 80 non-T2DM individuals underwent office and 24-h ambulatory BP measurements, estimation of hemodynamic parameters using impedance cardiography and blood tests. Ten-year atherosclerotic cardiovascular disease (ASCVD) risk score was calculated. T2DM patients exhibited higher nighttime systolic blood pressure (SBP) (p = 0.028) and lower dipping (p < 0.001) compared to controls. In the total population, dipping correlated negatively with age, HbA1c, ASCVD risk score, and positively with HDL Cholesterol and Velocity Index (VI), a marker of myocardial contractility (p < 0.05). Nighttime SBP correlated positively with ASCVD risk, BMI, HbA1c, fasting glucose, eGFR, and negatively with VI (p < 0.05). After adjustment for other variables, HbA1c (p = 0.03), eGFR (p = 0.02) and VI (p = 0.004) independently predicted non-dipping. Multivariate analysis revealed HbA1c (p = 0.023), eGFR (p = 0.05), and VI (p = 0.006) as independent predictors of nighttime SBP. Patients diagnosed with T2DM concurrently present impaired circadian BP rhythm, which appears to be directly associated with impaired glycemic profile. The observed association with myocardial contractility might represent an additional mechanism for the aggravated cardiovascular risk in these patients.

The legacy effect in diabetes: are there long-term benefits?

In this narrative review, we summarise the evidence for and against the glycaemic legacy effect from the long-term follow-up of major diabetes trials and observational cohort studies. We provide a summary of the pathophysiological basis for the legacy effect and discuss some translational research. Results from trials of early diabetes and observational cohort studies suggest that a long-term effect of early glycaemic control exists; however, long-term follow-up from trials in participants with established diabetes is not supportive. Additionally, findings for the legacy effect are more conclusive for microvascular complications than macrovascular events. Overall, these results suggest that the glycaemic legacy effect is a long-term benefit (or risk) conferred to individuals in the early stages of diabetes and which is muted over time as individuals' vasculature changes and they develop complications from diabetes.

Fluorescein Permeability of the Blood-Brain Barrier Is Enhanced in Juvenile- but Not Young Adult-Onset Type 1 Diabetes in Rats.

Clinically, neurological disorders, such as cognitive impairments and dementia, have been reported as diabetic complications, which are remarkable, especially in children with diabetes. The blood-brain barrier (BBB) is a physiologically dynamic regulatory barrier that maintains the consistency of the fluid microenvironment composition of the brain. However, the differences in BBB conditions between children and adults and the contribution of the BBB to the severity of cognitive impairments remain unclear. We generated adult-onset diabetes mellitus (DM) and juvenile-onset diabetes mellitus (JDM) diabetic rat models and investigated BBB functions in these models during the early stages of type 1 diabetes. We performed a BBB permeability assay using sodium fluorescein, a small-molecule fluorescent dye, to evaluate endothelial transport from the blood to the central nervous system. One week after diabetes onset, BBB permeability increased in the hippocampus and striatum of JDM rats, but no changes were observed in the frontal cortex and hypothalamus of JDM rats or for any region of DM rats. The double staining of tight junction proteins and astrocytes revealed no changes in the hippocampus and striatum of JDM rats. These results suggested that the observed increase in BBB permeability during early-stage diabetes onset in JDM rats, which did not depend on the expression of the interendothelial tight junction protein, claudin-5, may affect stylized neural development and cognitive function.

Extracellular vesicles-incorporated microRNA signature as biomarker and diagnosis of prediabetes state and its complications.

Extracellular vesicles (EVs) are small anuclear vesicles, delimited by a lipid bilayer, released by almost all cell types, carrying functionally active biological molecules that can be transferred to the neighbouring or distant cells, inducing phenotypical and functional changes, relevant in various physio-pathological conditions. The microRNAs are the most significant active components transported by EVs, with crucial role in intercellular communication and significant effects on recipient cells. They may also server as novel valuable biomarkers for the diagnosis of metabolic disorders. Moreover, EVs are supposed to mediate type 2 diabetes mellitus (T2DM) risk and its progress. The T2DM development is preceded by prediabetes, a state that is associated with early forms of nephropathy and neuropathy, chronic kidney disease, diabetic retinopathy, and increased risk of macrovascular disease. Although the interest of scientists was focused not only on the pathogenesis of diabetes, but also on the early diagnosis, little is known about EVs-incorporated microRNA involvement in prediabetes state and its microvascular and macrovascular complications. Here, we survey the biogenesis, classification, content, biological functions and the most popular primary isolation methods of EVs, review the EVs-associated microRNA profiling connexion with early stages of diabetes and discuss the role of EVs containing specific microRNAs in prediabetes complications.

Predicting a Risk of Diabetes at Early Stage using Machine Learning Approach

Diabetes, known also as Diabetes mellitus, is a prolonged disease that distresses a way body uses to take up sugar or glucose. It can be described as a condition occurs when the blood sugar of a body is too high. The cases of diabetes are rapidly raising in low- and middle-income countries as compare to high income countries. Advancement in the field of Information and Communication Technology (ICT) are revolutionizing many sectors including health care and medical technologies. It plays a critical role in improvising services offered to patients and hospitals. Machine learning is a field of Artificial Intelligence that makes computer system to learn from data, identify the patterns and take decisions without human intervention. Machine learning can be applied on medical datasets to detect and diagnose diseases in an effective and accurate manner. This research focuses on applying machine learning classifiers on the publicly available dataset that contains signs and a symptom of either a person is diabetic or non-diabetic. For that, a dataset for early-stage diabetes risk prediction is acquired from UCI machine learning repository. The well-known machine learning classifiers i.e., Naive Byes, Random Forest, Support Vector Machine and Multilayer Perceptron are experimented on the dataset and the results are analysed. Finally, the result shows that the Random Forest provides the highest values i.e. 0.975 for precision, recall and F-measure respectively. Multiplayer perceptron also works well with 0.96 precision value, 0.963 recall value and 0.964 F-measure value, respectively.