An Implementation of Cardiovascular Disease Prediction in Ultrasonography Images using AWMYOLOv4 Deep Learning Mode

Cardiovascular diseases are one of the most important issues facing the people and their origins also death is contained all over the world the facing issues in past 25 years. Every country’s inversing large amount in health care researches and it’s related to enhanced predict the diseases. Cardio issues are not even physicians can easily be predicted and it is a very challenging task that requires high knowledge and expertise. To identify to create machine language models used to efficiently predict the earliest stage of cardiovascular disease. In this work, we recommend AWMF filter for the pre-process the Input Image after the input move to YOLOv4 neural network method for classification and segmentation to the heart affected areas by using ultrasonic Images with the help of a machine learning algorithm. The proposed algorithm uses ultrasonic picture classification and segmentation to detect cardiovascular disease earlier. This model shows the more accurate result on 96% of training and 98% testing data. And this method shows better results and providing while compared to the existing method

Isolation, identification and antibiotic sensitivity pattern of aerobic bacteria from burn wound patient admitted in tertiary care hospital

Background: Significant burn injuries induce a state of immunosuppression that predisposes patients to infectious complications, thus the rate of nosocomial infections are higher. Rapidly merging multidrug resistant among the various isolate in indoor burn patients are depending on time-line becoming serious threat for managing therapeutically. Objective of this study is to determine the aetiological factor, prevalence, antimicrobial susceptibility pattern and emerging nosocomial pathogens.Methods: A prospective study was carried in burn ward of K.L.E.’s Dr. Prabhakar Kore Hospital and Medical Research Centre, Belgaum for the period of 1 year. Pair of wound swab were collected from patient having burnt more than 30% (RULE OF NINE) on 3rd day of stay. Sample were collected aseptically from 30 patients and processed by convectional culture and biochemical identification procedures and tested against commonly used antibiotics.Results: 30 patients that fall under inclusive criteria were enrolled in the study. The total burn surface area (TBSA) ranges from 30-82%. The ratio of female to male patient suffering burn wound in our study is 1.5:1. Aetiology of burn is heat (moist/dry) mostly. Depending upon degree of burn, most of patient suffered from 20 degree (superficial to deep) injury. From 30 swab cultures, 42 isolates were identified during the study in which mixed were 66.66% and one is fungi. The most commonly isolated is Pseudomonas aeruginosa (45.24%) then Klebsiella pneumoniae (19.04%), Acinetobacter spp. (14.28%), Staphylococccus aureus (11.90%). Among gram positive isolates, isolates are found to be most resistant to Erythromycin (100%) and Co-trimoxazole (100%) and sensitive to Vancomycin (71.42%). Among gram negative isolates are found to be most resistant to Gentamicin (91.65%), Ciprofloxacin (82.35%), Ceftazidime (82.35%) and sensitive to Meropenem (52.95%), Piperacillin (35.30%), Carbenicillin (29.41%).Conclusions: Pseudomonas aeruginosa was found to be the most common isolate. The nature of microbial wound colonization and flora changes with time should be taken into consideration in empirical antimicrobial therapy

Multi-processor Scheduling to Minimize Flow Time with epsilon Resource Augmentation

We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m identical machines. We consider the case where the algorithm is given either (1 + ε)m machines or m machines of speed (1 + ε), for arbitrarily small ε \u3e 0. We show that simple randomized and deterministic load balancing algorithms, coupled with simple single machine scheduling strategies such as SRPT (shortest remaining processing time) and SJF (shortest job first), are O(poly(1/ε))-competitive for both flow time and stretch. These are the first results which prove constant factor competitive ratios for flow time or stretch with arbitrarily small resource augmentation. Both the randomized and the deterministic load balancing algorithms are non- migratory and do immediate dispatch of jobs. The randomized algorithm just allocates each incoming job to a random machine. Hence this algorithm is non- clairvoyant, and coupled with SETF (shortest elapsed time first), yields the first non-clairvoyant algorithm which is con- stant competitive for minimizing flow time with arbitrarily small resource augmentation. The deterministic algorithm that we analyze is due to Avrahami and Azar. For this algorithm, we show O(1/ε)-competitiveness for total flow time and stretch, and also for their Lp norms, for any fixed p ≥ 1

CFLCA: High Performance based Heart disease Prediction System using Fuzzy Learning with Neural Networks

Human Diseases are increasing rapidly in today’s generation mainly due to the life style of people like poor diet, lack of exercises, drugs and alcohol consumption etc. But the most spreading disease that is commonly around 80% of people death direct and indirectly heart disease basis. In future (approximately after 10 years) maximum number of people may expire cause of heart diseases. Due to these reasons, many of researchers providing enormous remedy, data analysis in various proposed technologies for diagnosing heart diseases with plenty of medical data which is related to heart disease. In field of Medicine regularly receives very wide range of medical data in the form of text, image, audio, video, signal pockets, etc. This database contains raw dataset which consist of inconsistent and redundant data. The health care system is no doubt very rich in aspect of storing data but at the same time very poor in fetching knowledge. Data mining (DM) methods can help in extracting a valuable knowledge by applying DM terminologies like clustering, regression, segmentation, classification etc. After the collection of data when the dataset becomes larger and more complex than data mining algorithms and clustering algorithms (D-Tree, Neural Networks, K-means, etc.) are used. To get accuracy and precision values improved with proposed method of Cognitive Fuzzy Learning based Clustering Algorithm (CFLCA) method. CFLCA methodology creates advanced meta indexing for n-dimensional unstructured data. The heart disease dataset used after data enrichment and feature engineering with UCI machine learning algorithm, attain high level accurate and prediction rate. Through this proposed CFLCA algorithm is having high accuracy, precision and recall values of data analysis for heart diseases detection

Olbrzymi tętniak obejmujący kilka tętnic wieńcowych, w tym pień tętnicy wieńcowej lewej, powodujący objawy ostrego zespołu wieńcowego u 23-letniego chorego: nietypowe powikłanie choroby Kawasaki

The reported incidence of coronary artery aneurysms (CAA) on angiography varies between 0.3 to 5.3%. Right coronary artery is the most commonly affected followed by left circumflex or left anterior descending artery. Three-vessel or left main involvement is exceedingly rare. Atherosclerosis accounts for the vast majority of CAAs in adults, whereas Kawasaki disease is responsible for most cases in children. We report a rare case of Kawasaki disease associated with giant aneurysms ( > 8 mm) in coronary circulation, including left main coronary artery in 23-year-old male having maturity onset diabetes (MODY), who presented with acute coronary syndrome.The reported incidence of coronary artery aneurysms (CAA) on angiography varies between 0.3 to 5.3%. Right coronary artery is the most commonly affected followed by left circumflex or left anterior descending artery. Three-vessel or left main involvement is exceedingly rare. Atherosclerosis accounts for the vast majority of CAAs in adults, whereas Kawasaki disease is responsible for most cases in children. We report a rare case of Kawasaki disease associated with giant aneurysms ( > 8 mm) in coronary circulation, including left main coronary artery in 23-year-old male having maturity onset diabetes (MODY), who presented with acute coronary syndrome

Regulation of wound strength by Ocimum sanctum: in silico and in vivo evidences

Background: The present work has been an attempt to facilitate the scientific understanding of the wound strength by Ocimum sanctum (OS, holy basil) a traditional knowledge practiced since ancient times in India.Methods: The in vivo Incision (wound strength) and Dead space wound models (biochemical estimation of components of ECM) in rats and  In silico method, where one of the target proteins from each class of MMPs involved in wound strength was selected for molecular docking with eugenol (one of the flavonoid present in OS).Results: Molecular docking showed that eugenol was able to inhibit all selected MMPs, i.e. collagenase (-6.37 Kcal/mol), gelatinase (-5.99 Kcal/mol), elastase (-6.31 Kcal/mol) and stromelysin (-5.79 Kcal/mol). Ethanolic extract of Ocimum sanctum (OSE, 200-800 mg/kg) when administered as suspension showed dose-dependent increase in wound breaking strength in in vivo Incision wound rat model. OSE 400 mg/kg produced a significant increase in protein and collagen constituents like hydroxyproline, hexuronic acid and hexosamine in the connective tissue content of extracellular matrix when studied in Dead space wound model in rat.Conclusions: The present study is an attempt to correlate the in vivo findings on wound strength promoting activity by Ocimum sanctum with in silico tools

GASTRIC ANTIULCER AND ULCER HEALING EFFECTS OF PUNICA GRANATUM L. PEEL EXTRACT IN RATS: ROLE OF OFFENSIVE AND DEFENSIVE MUCOSAL FACTORS AND OXIDATIVE STRESS

Objective: The present work incorporates the study of gastric antiulcer and ulcer healing effects of dried Punica granatum (PG) peel 50% ethanol extract (PGE) in rats.Methods: PGE (100 mg/kg) was administered orally once daily to rats either before or after induction of gastric ulcers (GU) for 7 d. Antiulcer effects of PGE were seen against acute GU, induced by pylorus ligation (PL), cold restraint stress (CRS), aspirin and ethanol while, ulcer healing in acetic acid (AA)-induced chronic GU in rats. Ulcer index (UI), gastric juice volume, acid-pepsin and mucin secretions and gastric mucosal glycoproteins, free radicals (LPO and NO) and antioxidants (SOD and GSH) were estimated.Results: PGE showed a decrease in UI in all GU models (45.6 to 79.7%, P<0.05 to P<0.001) indicating both protective and healing effects. PGE showed little or no effects on volume, acid-pepsin concentration and output but increased mucin secretion (55.1%, P<0.05) and mucosal glycoproteins (35.7%, P<0.05) in PL rats. CRS rats showed an increase in LPO and NO (48.4 to 58.3%, P<0.01) and SOD (21.8%, P<0.01) but decrease in GSH and CAT (33.1 to 44.8%, P<0.01 to P<0.001) compared with unstressed rats. PGE-treated CRS rats showed a decrease in LPO and NO (44.1 to 61.2, P<0.01 to P<0.001) and SOD (13.2%, P<0.01) and increase in GSH and CAT (43.8 to 48.7%, P<0.01 to P<0.001) compared with CRS rats.Conclusion: PGE seemed to have ulcer cytoprotective effects due to enhanced mucosal resistance and reduction in oxidative mucosal damage possibly via high antioxidant activity

Acute dislocation of fully deployed stent after use of non-compliant balloon: an enigma

Stent embolism is an established but rare complication of percutaneous coronary intervention, usually encountered when an undeployed stent unintentionally dislocates from the balloon. Published literature regarding incidence or clinical outcomes of embolism of fully deployed coronary stents is sparse. Here we report an unusual case of a 41-year-old male who had dislocation of a fully deployed stent into the distal part of left anterior descending artery following post dilatation by non-compliant balloon during percutaneous coronary intervention

Izolowana ciężka stenoza trójpłatkowej zastawki aortalnej u 8-letniego chłopca

A 8-year-old boy was referred for evaluation of ejection systolic murmur. On examination multiple xanthomas and xanthelesmas were noted. Investigations confirmed familial hypercholesterolemia and severe aortic stenosis in background of tricuspid aortic valve. We report a case of severe aortic stenosis in background of morphologically normal valve, a rare complication of heterozygous familial hypercholesterolaemia.Ośmioletni chłopiec został skierowany do ośrodka w celu oceny skurczowego szmeru typu wyrzutowego. W badaniu przedmiotowym stwierdzono liczne kępki żółte i kępki żółte płaskie. Na podstawie przeprowadzonych badań rozpoznano hipercholesterolemię rodzinną (FH) i ciężką stenozę zastawki aortalnej o budowie trójpłatkowej. Autorzy opisują przypadek ciężkiej stenozy aortalnej u pacjenta z prawidłową morfologicznie zastawką aortalną, co jest rzadkim powikłaniem heterozygotycznej postaci FH

Percutaneous retrieval of a fractured multipurpose catheter by an indigenous snare in a 25-year-old patient: a safe and feasible approach

Since the first report of percutaneous retrieval of intravascular foreign body in 1964, it has become a favourite approach for intravascular foreign body removal. Snares, biopsy forceps, dormia basket or tip deflecting wires are available options for this approach. Herein, we report percutaneous retrieval a fractured multipurpose catheter by an indigenous snare in a 25-year-old patient. The patient was a 25-year-old male being admitted with ostium secundum atrial septal defect and catheterization study was planned for shunt quantification. During manipulation to right ventricular outflow tract, multipurpose catheter got broken approx. 4 cm. proximal to tip. The broken part was captured through right femoral vein by a self-constructed snare. While removal, it broke at tip of venous sheath. Smaller one was retrieved and bigger was recaptured and finally retrieved by exaggerating the curve of same snare without any complications. Use of snares for intravascular foreign body removal is frequently reported and has been successful with low complication rates.Since the first report of percutaneous retrieval of intravascular foreign body in 1964, it has become a favourite approach for intravascular foreign body removal. Snares, biopsy forceps, dormia basket or tip deflecting wires are available options for this approach. Herein, we report percutaneous retrieval a fractured multipurpose catheter by an indigenous snare in a 25-year-old patient. The patient was a 25-year-old male being admitted with ostium secundum atrial septal defect and catheterization study was planned for shunt quantification. During manipulation to right ventricular outflow tract, multipurpose catheter got broken approx. 4 cm. proximal to tip. The broken part was captured through right femoral vein by a self-constructed snare. While removal, it broke at tip of venous sheath. Smaller one was retrieved and bigger was recaptured and finally retrieved by exaggerating the curve of same snare without any complications. Use of snares for intravascular foreign body removal is frequently reported and has been successful with low complication rates