Prediction Of Heart Disease And Diabetes Using Machine Learning

Healthcare technology is changing. The use of algorithms for increasingly important tasks is spreading across the healthcare sector. A new generation of machine learning algorithms that promise to inform diagnosis and assist in treatment are emerging. Machine Learning can play an essential role in predicting presence/absence of chronic disorders, heart diseases and more. Such information, if predicted well in advance, can provide important insights to doctors who can then adapt their diagnosis and treatment per patient basis. This paper deals with designing, developing and implementing prediction systems for diabetes and heart disease using machine learning algorithms

Ovarian tumours associated with pregnancy: a five year retrospective study in a tertiary care hospital

Background: Pregnancy with ovarian tumors was reviewed over a 5 year period to determine the types of ovarian tumors associated with pregnancy in patients undergoing surgery and also the maternal and fetal outcome.Methods: This retrospective study of 17 cases of ovarian tumors treated surgically during pregnancy and puerperium was carried out at a tertiary hospital between June 2009 and June 2014 to determine the incidence, clinico pathological features and outcome.Results: The overall incidence of ovarian tumor in pregnant woman undergoing surgery was 1 in 1693 (0.025%) deliveries. 52.87%   tumors were diagnosed in the first and second trimesters of pregnancy.  Ten (58.82%) presented as an emergency at different periods of gestation with torsion being the most common cause of surgery. Serous cyst adenoma (23.52%) and dermoid tumor (17.64%) were the most common types of ovarian tumors found in the study. The incidence of malignant tumors was one (5.88%).Maternal outcome was uneventful in all patients. Abortion rate was 100% in first trimester. Outcome in second trimester is inconclusive as few patients were lost to follow-up. Patients diagnosed in third trimester had an uneventful fetal outcome.Conclusions: Ovarian tumors are encountered with greater frequency, most being benign and self-resolving with malignancy occurring in a small minority of cases. Removal of persisting or enlarging ovarian masses as soon as possible is important to obtain a final histologic diagnosis and rule out malignancy

Study of maternal and perinatal outcome among twin pregnancies with one twin demise

Background: To study the incidence, management and to determine maternal and perinatal outcome in cases of twin pregnancy with one twin demise in the second half of the pregnancy.Methods: This retrospective study was carried out at Cheluvamba Hospital, a tertiary care hospital attached to Mysore medical college and research institute between September 2009 and 2014. 19 twin pregnancies complicated by single intrauterine fetal demise (IUFD) after 20 weeks of gestation were identified from the hospital records. Data collected included maternal age, parity, antenatal complications, cause of IUFD, gestational age at diagnosis, time interval between diagnosis of IUFD and delivery, mode of delivery, birth details, type of placentation and neonatal complications.Results: The incidence of twin with one twin demise was 2.056%. Mean gestational age at presentation was 33.86 weeks. Most common cause of death was growth discordance in 7 cases followed by placental insufficiency in 4 cases. 57.89% of cases had monochorionic placentation. Neonatal course was most commonly complicated by prematurity. Maternal course was uneventful in majority (63.15%) of cases with two maternal deaths due to intravascular coagulopathy sequelae.Conclusions: Single fetal death occurs more often in monochorionic twins. The main problem for the surviving twin is prematurity. It is very important to identify the chorionicity by ultrasound examination in early pregnancy and implement specific surveillance of monochorial pregnancies

Efficient enhanced keyword search for encrypted document in cloud

A sensitive public-key searchable encryption system in the prime-order groups, which lets keyword search policies to be uttered in conjunctive, disjunctive or any monotonic Boolean formulas and realizes momentous act enhancement over existing schemes. We legally express its sanctuary, and verify that it is selectively sheltered in the standard model. Correspondingly, we instrument the wished-for outline using a hasty prototyping tool so-called Charm and conduct more than a few experiments to estimate it show. The results determine that our scheme is plentiful more proficient than the ones assembled over the composite-order groups. Keyword research is one of the most imperative, valuable, and high return activities in the search marketing field. Position for the right keywords can make or interruption your website

QUALITATIVE ANALYSIS AND ANTHELMINTIC ACTIVITY OF HYDRO-ALCOHOLIC EXTRACT OF TABERNAEMONTANA DIVARICATA

Tabernaemontana divaricata is a common shrub found in the tropical regions and is often used for medicinal purposes, particularly the flowers of the plant. The present study is conducted to compare and identify the phytochemical constituents by Thin Layer Chromatography (TLC) and Qualitative Phytochemical analysis and to determine the anthelmentic activity of fresh and dried flower extract of Tabernaemontana divaricata. The extract is obtained using two different methods like cold maceration and hot solvent extraction by using soxhlet apparatus, first with petroleum ether followed by hydroalcohol as solvents. The preliminary phytochemical analysis of the extract indicated the presence of Alkaloids, Flavanoids, Steroids, Proteins, Carbohydrates and Tannins. The Rf value of TLC is calculated and compared with standard values and analysis proved the presence of the phytochemical constituents. The anthelmentic activity studies are performed using Indian earth worms. For this, the concentrated extract is diluted to various concentrations, and the effect of each solution is studied by measuring the time taken for paralysis and death of the earth worms. It is found to show significant anthelmentic activity at various concentrations compared with that of the standard drug Metronidazole

Formulation and evaluation of herbal hair serum-a review

In the mammalian system the hair follicle is known to the most significant organ that determine, appearance, gender distinction, provides intense temperature protection and plays a role in self-defence. The younger generations have begun to suffer extreme hair loss problem due to many reasons. The hair loss is not temporary in most cases. but it results in alopecia. Many people suffering from hair loss is in search of multiple treatments due to extreme anxiety and tension. To improve hair growth and to prevent hair loss, hair root activation is required. Citrus sinensis is used to antidandruff protection hair care. It’s had antibacterial and anti-inflammatory properties. Nigella sativa improves the shine, strength, volume, and texture of hair. Flax seed is full of fatty acids and antioxidants that tend to remove pollutants and dead cells from the scalp. Coconut oil may help to moisturise and seal hair. They can help to prevent dry, flaky scalp and dandruff. This review article focuses on the materials required for the formulation of hair serum and various evaluation tests to evaluate hair serum

Price fluctuations and species diversity across fish markets in Kerala

The fish marketing system of Kerala deserves to be highly efficient as compared to that of the country. The demand-supply gap is ironed by the fish arrivals from the other states and there exists huge price variations of fish identified among the landing centres, wholesale and retail markets of Kerala. The study analysed the price volatilities and species diversity, across different markets. Results of the study suggest that the supply side constraints and the monopsony conditions of the fish markets are the major factors responsible for the high price instability. The prices of low value fish species have not been stable for several reasons and the prices varied depending on species, seasons and abundance of other fish and fishery products. The study suggests that the development of a Fish Market Price Information System (FMPIS) to act as a decision support system would ensure fish market and price information dissemination about availability, accessibility and affordability of fish which also enables different stakeholders, mainly fishers in identifying target prices or markets; consumers with rational choices about fish availability and traders with inputs for better marketing efficiency

Factors Influencing Source of Coping Strategies in Health in Marine Fishers During COVID-19 Pandemic: An Exploratory Study of Kerala, India

The southwestern state of Kerala has long been considered a model on account of its achievement in health and education at relatively lower levels of income. During the pandemic, the state achieved global attention in the handling of the pandemic and while there was universal acceptance of the role of the government in providing and maintaining health, the idea of health itself was widened to include aspects of well-being and the role of the community including neighborhood groups were prominent in the state. Thus, one could say that health and healthcare provision underwent a vital shift. As public health broadened to include aspects of well-being, there was a greater need to bring in communities and their perspectives as providers and facilitators of health, rather than as recipients of health services alone. In this aspect of constructing a novel approach to health provision, we believe our study based on the impact of COVID-19 on the marine fisheries sector proves to be particularly illuminating. We explore the various coping strategies in health (Institutional, economic and social) as well as sources that provide institutional, social and economic health strategies- whether it is the government, community, or self/family. Further, we try to find if socio-demographic factors influence the choices of the individual. Our findings point out that while universal policies in provision especially during events like the pandemic are crucial; there is a need to focus on individual factors affecting the choices. This could potentially assist in more equitable and efficient accessing and utilising the resources

Assessment of genetic diversity among Malnad Gidda, Punganur and Vechur-dwarf cattle breeds of India using microsatellite markers

The genetic diversity among 3 dwarf breeds of cattle in India, viz. Malnad Gidda, Punganur and Vechur were analysed using 12 sets of microsatellite markers. All 11 amplified microsatellite loci were polymorphic with a mean number of alleles of 7.818±1.66 across breeds and in different breeds it ranged from 7.273 in Malnad Gidda to 3.546 in Vechur. The mean polymorphic information content (PIC) value observed and expected heterozygosity values across the population were 0.642, 0.610 and 0.683, respectively. A moderate level of inbreeding was observed with the inbreeding estimates ranging from -0.027 (ILSTS6) to 0.271 (HAUT24). Among the 3 breeds the highest mean number of alleles (7.273), mean PIC value (0.639), observed heterozygosity (0.630) and lower inbreeding estimates at majority of loci were observed in Malnad Gidda cattle indicating high degree of heterozygosity compared to Punganur and Vechur breeds. Even though departure from Hardy Weinberg Equilibrium (HWE) was found in Vechur and Punganur cattle population at majority of the loci, the population combining the 3 breeds was maintained at HWE with respect to most of loci under study. The genetic distance analysis revealed highest genetic distance between Vechur and Punganur (0.331) and lowest between Malnad Gidda and Punganur (0.125)

Changes in plasma levels of N-arachidonoyl ethanolamine and N-palmitoylethanolamine following bariatric surgery in morbidly obese females with impaired glucose homeostasis

Aim: We examined endocannabinoids (ECs) in relation to bariatric surgery and the association between plasma ECs and markers of insulin resistance. Methods: A study of 20 participants undergoing bariatric surgery. Fasting and 2-hour plasma glucose, lipids, insulin, and C-peptide were recorded preoperatively and 6 months postoperatively with plasma ECs (AEA, 2-AG) and endocannabinoid-related lipids (PEA, OEA). Results: Gender-specific analysis showed differences in AEA, OEA, and PEA preoperatively with reductions in AEA and PEA in females postoperatively. Preoperatively, AEA was correlated with 2-hour glucose (r = 0.55, P = 0.01), HOMA-IR (r = 0.61, P = 0.009), and HOMA %S (r = -0.71, P = 0.002). OEA was correlated with weight (r = 0.49, P = 0.03), waist circumference (r = 0.52, P = 0.02), fasting insulin (r = 0.49, P = 0.04), and HOMA-IR (r = 0.48, P = 0.05). PEA was correlated with fasting insulin (r = 0.49, P = 0.04). 2-AG had a negative correlation with fasting glucose (r = -0.59, P = 0.04). Conclusion: Gender differences exist in circulating ECs in obese subjects. Females show changes in AEA and PEA after bariatric surgery. Specific correlations exist between different ECs and markers of obesity and insulin and glucose homeostasis