Optimized Classification of Cardiovascular Disease Using Machine Learning Paradigms

Nearly 19 million people die each year from cardiovascular and chronic respiratory diseases, which are a global threat. It is necessary to address the causes of these diseases because of the high death rate. The investigation uncovered a number of causes, but the inability to forecast these diseases symptoms is by far the most significant. In this work, we developed a method for anticipating these diseases crucial symptoms, which will aid in early disease diagnosis and allow patients to begin treatment. This research will introduce a new computational medicine research using machine learning (ML) paradigms to forecast cardiovascular disease (CVD). Data were processed by methods in sequence with various parameters. different models created that predicts CVD risk based on individual age, gender, ethnicity, body mass etc., and lifestyle factors. The research will also focus on performing complete comparison of ML models. We will apply Five ML based algorithems such as Decision Tree (DT), K-Nearest Neighbors (KNN), Naïve Bayes (NB), XGBOOST and Random Forest and evaluate these models on the basis of Training and Testing and also calculated the Presicion Recall and F1-Score for each model. Naïve Bayes and XGBOOST Classifier perform better with accuracy of 92.31 and 92.34 percent as compared to other models

EFFECT OF SPATIAL ARRANGEMENT AND FOLIAR APPLICATION OF GROWTH REGULATING HORMONE ON THE FLOWER HEAD DEVELOPMENT OF COCKSCOMB UNDER THE TROPICAL ARID ENVIRONMENT OF SOUTHERN PUNJAB, PAKISTAN

This investigation was carried out at Experimental Farm, Faculty of Agriculture Science and Technology, Bahauddin Zakariya University, Multan (Pakistan). The objective of this study was to produce high quality Celosia flower head as cut flower under the harsh environmental conditions of southern Punjab by using different plant spacing and different concentrations of Gibberellin (GA3). The seedlings were grown by seed and then transplanted in the field in the first week of August. Seedlings were irrigated daily and fertilized with 100 ppm NPK solution with alternate irrigation before transplanting. Field was well prepared by irrigation and spading twice and adding about 1.5 kg Diammonium phosphate (DAP) at the rate of 150 kg/hectare as phosphorus source, about 2 kg Muriate of Potash (MOP) at the rate of 200 kg/hectare as potash source and about 1kg urea at the rate of 100 kg/hectare as nitrogen source prior to transplanting. Then, seedlings were transplanted in randomized complete block design. There were three levels/concentrations of GA3 (0, 25 and 50 mg/l) and three levels of plant spacing (22.50, 30.00 and 37.50 cm) making overall 9 treatments and these treatments were tested in 3 replications. The analysis of variance indicated that best results were achieved when plant spacing of 37.5cm was used in combination with GA3 application (at the rate of 50 mg/l) where significant increase in chlorophyll contents, leaf area and number of leaves, fresh and dry weight of stem, flower diameter and fresh and dry weight of flower of Celosia cristata were found compared to all other treatments tested

Moringa oleifera Lam.ameliorates the muscles function recovery following an induced insult to the Sciatic nerve in a mouse model

Peripheral nerve injury (PNI) is an incapacitating situation and has no effective therapy until now. We examined the possible role of crude leaves of Moringa oleifera Lam. at 200 mg/kg body weight in accelerating the functional regain in the sciatic nerve lesion induced mouse model (Adult male albino mice (BALB/c). Motor functions were evaluated by using the sciatic functional index, muscle mass, and muscle grip strength measurement, whereas the sensory functions were evaluated by using the hot plate test. Blood glucose levels and blood cell composition were also analyzed. We found that the Moringa oleifera crude leaves endorse the sensory and motor functions reclamation following the PNI with a statistically significant difference (p < .05). It also revitalizes the gastrocnemius muscle by mass restoration with glycemic management perspective. Conclusively, the crude powder of Moringa oleifera leaves exhibited a function restoration boosting property and further detailed studies for its application as a therapeutic agent are strongly recommended

Methanolic extract of Fennel (Foeniculum vulgare) escalates functional restoration following a compression injury to the sciatic nerve in a mouse model

Peripheral nerve injury (PNI) is one of the major health concerns faced by the community at present. Till now, available therapeutic approaches are ineffective to fully heal a nerve injury and to assure the functional recovery entirely. Natural compounds can prove attractive and effective drug candidates to bridge up this gap. In this scenario, the present study was designed to explore the role of methanolic extract of Foeniculum vulgare (F. vulgare) seeds in accelerating the function regain following a sciatic nerve injury in a mouse model. For this purpose, 12 adult healthy albino mice (BALB/C), 8–10 weeks old, were grouped as control (Ctrl, n = 6) and treatment (Trt, n = 6). The treated group was given methanolic extract of F. vulgare (200 mg/kg per day) started from the day of nerve crush until the end of the study. The sensorimotor function regain assessed by hot plate test, grip strength, and SFI assessments was found significantly (p < .05) ameliorated in the F. vulgare-treated group. A prominent improvement in the muscle mass of the treated group further affirmed these effects. Furthermore, morphometric analysis of muscle fiber cross-sectional area of tibialis anterior muscle between groups revealed a noticeable improvement in muscle fibers’ diameter of the treated group. Conclusively, these findings suggest that F. vulgare methanolic extract exhibits the potential to escalate functional recovery following a peripheral nerve injury. However, the real players of this extract and the mechanism involved in boosting functional restoration need to be dissected by further work