An efficient data hiding method in images

Data Hiding has a huge range of applications in the medical field for transmission. It is helpful in securing the documentation of the patients from the violator with good storage space. The medical images of different modalities like CT, MRI, and PET with the digitized clinical information can be sent to the doctors across the world for the treatment. Due to the bandwidth and storage constraints, medical images along with the clinical information must be compressed before transmission and storage. This paper gives a technique for hiding the digitized clinical information along with the DICOM images in Complex Contourlet Transform (CCT) Domain. It also analyses the compression method by using an Entropy Encoder method. Hence, this work suggests that the data hiding method based on Complex Contourlet Transform (CCT) is efficient and also it has a high hiding capacity. The improved value of Compression Ratio (CR), Space Saving (SS), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) shows that the new method satisfies the properties of the data hiding method

Trial of scar in post caesarean pregnancies

Background: The term caesarean delivery used to describe the delivery of a fetus through a surgical incision of the intact anterior uterine wall. The objective of this study was to analyse the maternal and perinatal morbidity between successful VBAC and failed vaginal delivery in cases selected for trial of labour.Methods: Prospective study conducted in Government RSRM Lying In Hospital, Government Stanley Medical College, Chennai over a period of one year from January 2017 to December 2017.Results: Trial of labour in previous caesarean section was more successful when the interval between previous caesarean and present pregnancy was between two to four years 86.40%. Conclusions: Most patients with a prior caesarean birth are candidates for VBAC. In properly selected women, a trial of labour after one previous low transverse caesarean section constitutes the best and safest form of obstetric management

A New ARMA G (p, q) Model for largest Viral Replication and its Posterior Distribution

A Statistical Models used for quantifying the viral load in the blood plasma of HIV Patients. These Models are mostly non-linear differential equations. Determination of solution of variable in the Differential equation is very complicated. The quantification of viral load by using differential equation is not as easy approach. The hierarchical Bayesian approach is used to find the predictive distribution of viral load, which is other way of finding the solution. If the prior distribution is only conjugate the expression Predictive Distribution is simple. The study of viral replication not at all considering as a single period, it is based on the number of succeeding periods. So, the researcher developed a New Auto Regressive moving average Growth process with (p, q) order for the viral replication and finds its predictive distribution.   &nbsp

A comprehensive study on disease risk predictions in machine learning

Over recent years, multiple disease risk prediction models have been developed. These models use various patient characteristics to estimate the probability of outcomes over a certain period of time and hold the potential to improve decision making and individualize care. Discovering hidden patterns and interactions from medical databases with growing evaluation of the disease prediction model has become crucial. It needs many trials in traditional clinical findings that could complicate disease prediction. Comprehensive survey on different strategies used to predict disease is conferred in this paper. Applying these techniques to healthcare data, has improvement of risk prediction models to find out the patients who would get benefit from disease management programs to reduce hospital readmission and healthcare cost, but the results of these endeavours have been shifted

A Comprehensive Review on Artificial Intelligence Techniques for Covid-19 Pandemic

The pandemic situation due to the emergence of Covid-19 presents various problems physically, economically and mentally for the individuals world-wide, therefore faster solutions with wider access is essential to solve the problems which aids as a support to the healthcare. This is made possible through the incorporation of Artificial Intelligence (AI) technology to handle the situation of pandemic. This paper aims to present a comprehensive re-view of the applications employed using AI for the problems faced during Covid-19 pandemic. The AI applications involved in screening, predicting, forecasting, neighborhood contact tracing and drug discovery of Covid-19 are addressed in this review. This review also presents detailed working of AI algorithms in each application. This paper helps the researchers with vivid information of AI applications of Covid-19 pandemic

ASSESSMENT OF ANTIOXIDANT ACTIVITIES, PHENOL AND FLAVONOID CONTENTS OF DIFFERENT EXTRACTS OF LEAVES, BARK AND ROOT FROM THE Abutilon indicum (L.) SWEET

Objective: This study evaluated the antioxidant properties of petroleum ether, chloroform, ethyl acetate and methanol extracts of Abutilon indicum (L).Methods: The different extracts of A. indicum leaves, bark and roots  were antioxidant potential by using 1,1-diphenyl-2-picryl-hydrazyl (DPPH), 2, 2-Azino-bis-3-ethyl benzthiazoline-6-sulphonic acid (ABTS•+) , Hydrogen peroxide scavenging, Superoxide anions scavenging,  Hydroxyl radical scavenging, Ferric reducing antioxidant power, Total antioxidant activity (Phosphomolybdic acid) and total phenol and flavonoid contents.                      Results: The highest total phenol and flavonoid contents in leaves extracts of A. indicum. The total phenol (3.08 ± 0.06) mg/ml and flavonoid (7.16 ± 0.15) mg/ml were found to be higher in ethyl acetate extract of A. indicum and free radical scavenging activities IC50 values were calculated and compare to standard for L- ascorbic acid, (BHT) butylated hydroxytoluene and gallic acid    Conclusion:  The results of the study revealed that the ethyl acetate extract of A. indicum leaves can be used for the biological characterization and importance of the compounds identified and creates a platform to screen many bioactive compounds to treat many diseases.Keywords: Abutilon indicum, Free radical scavenging activity, 1,1-diphenyl-2-picryl-hydrazyl, 2-azino-bis-3-ethyl benzthiazoline-6-sulfonic acid,Ferric reducing antioxidant power

A Brief Survey on Cluster based Energy Efficient Routing Protocols in IoT based Wireless Sensor Networks

The wireless sensor network (WSN) consists of a large number of randomly distributed nodes capable of detecting environmental data, converting it into a suitable format, and transmitting it to the base station. The most essential issue in WSNs is energy consumption, which is mostly dependent on the energy-efficient clustering and data transfer phases. We compared a variety of algorithms for clustering that balance the number of clusters. The cluster head selection protocol is arbitrary and incorporates energy-conscious considerations. In this survey, we compared different types of energy-efficient clustering-based protocols to determine which one is effective for lowering energy consumption, latency and extending the lifetime of wireless sensor networks (WSN) under various scenarios