The stock market refers to the buying, selling, and issuance of shares of publicly held companies. Stock market prediction is for good and successful investment. Some people think stock market prediction is impossible to predict future stock values and it involves risks it may face huge losses. To address these, a machine learning model-based stock market prediction using K Nearest Neighbor (KNN) algorithm is proposed. For predicting next day change in the stock value, KNN is very powerful in numeric prediction problems because it can process relation between the numeric data. By utilizing these algorithms in stock market prediction our proposed results with experimental results show that a higher accuracy of 70%.
aims to know the incidence of musculoskeletal symptoms among COVID-19 infected adults during and after COVID-19 infection and the relationship between comorbidities like diabetes and hypertension with these musculoskeletal symptoms. Materials a n d MethodsThe study was conducted in Government Coimbatore Medical College Hospital, Coimbatore after ethical committee clearance.One thousand and fifty-three COVID-19 infected patients confirmed by the RT-PCR method were in our study group.The study period was from April to September 2021. introductionIn December 2019, there was a rapid outbreak of a pneumonia disease which was named coronavirus disease (COVID-19) caused by the novel severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), which originated from Wuhan city in China, causing acute respiratory distress syndrome and death. 1 The disease was declared a pandemic by the World Health Organization (WHO) on 11th March 2020. 1 Being highly contagious, human-to-human transmission of the disease occurs rapidly through coughing, sneezing, and the spread of respiratory droplets or aerosols. 2][5] Musculoskeletal symptoms such as fatigue, myalgia, and arthralgia are common COVID-19 symptoms, but their prevalence has not yet been systematically investigated. 3Myalgia, defined as muscle aches and pain, has been frequently reported in 11-50% of the COVID-19 infected patients.Myalgia and arthralgia were disabling for the patients during and after the COVID-19 infection.The pathology is linked to a cascade of inflammation in the body against the virus and musculoskeletal symptoms also constitute a significant proportion of the symptoms experienced by the patients infected with COVID-19. 3atients were suffering from arthralgia and myalgia even after becoming negative for COVID infection.Hence, our study
The real-world applications need someone who will process the data with precision and take respective actions and it has to be out there without any human intervention so basically the machines need to think and act, this is where the new era of Machine Learning, Deep Learning comes into place. Deep Learning gives the machines a way to think when trained from previous data and encounters. This paper will provide the application of Deep Learning in various fields.
BACKGROUND: “Corona mortis” is an abnormal arterial or venous connection between the obturator and the inferior epigastric or external iliac arteries or veins, which can cause torrential bleeding leading to the death of the individual. It may be encountered during acetabular surgeries, hernia surgeries, and gynecological procedures. The purpose of our study is to determine the incidence and variations of corona mortis in the south Indian population. MATERIALS AND METHODS: Forty hemipelves of 20 cadavers were in our study group. With the cadaver in the supine position, dissection was done using Stoppa’s approach. After dissection, data about the presence or absence of corona mortis, the nature of corona mortis (arterial/venous/arteriovenous variant), and the distance between corona mortis and pubic symphysis were collected. RESULTS: Corona mortis was present in 33 (82.5%) hemipelves. It was bilateral in 13 (65%) cadavers. It was present in all the female cadavers on both sides, whereas it was present in 21 (75%) out of the 28 male hemipelves. Venous variant was present in 26 (78.78%), followed by arteriovenous variant in five (15.16%), and arterial variant in two (6.06%) hemipelves. The mean distance of corona mortis from pubic symphysis was 55.65 mm. CONCLUSIONS: The incidence of corona mortis was 82.5% in our study. Our study was dominated by the venous variant compared with the arterial and arteriovenous variants. Corona mortis had gender variations: it was present in all the females in our study, whereas it was not so among males as per our study.
Calcaneum, the most common tarsal bone to fracture affecting manual labourers who were sole breadwinners of the family. Generally treated with below knee pop and ORIF, commonly associated with complications and delayed weight bearing. This study analyses functional outcome of early weight bearing with minimally invasive skeletal stabilisation of calcaneal fractures. This study was conducted at Institute of orthopaedics and traumatology, Coimbatore medical college and Meenakshi medical college hospital and research institute, Kanchipuram between July 2019 to October 2021. 15 patients in age group 20-65 years with 19 calcaneal fractures less than 4 weeks duration are included in study. Surgery averaged 1.6 days after injury. Full weight-bearing was achieved in 11.7 days for unilateral calcaneal fractures (range 9 to 15 days) and 43.5 days for bilateral fractures (40 to 49 days). Patients returned to work in 35.6 days on average (range 24 to 52 days). All 19 calcaneal fractures healed in 52.63 days. External fixator removal averaged 56.57 days. Two patients had postoperative pin site infections. No bones were infected. Six-month AOFAS scores averaged 86.15. In our study calcaneal fractures are fixed with mini external fixator percutaneously and it can be used in presence of compound fractures and with skin blisters. Though anatomical reduction cannot be attained completely weight bearing is possible from 2nd day after surgery and full weight bearing was possible in 2nd week. The limitations of our study include a smaller number of cases. A large multi-centric study may be necessary to confirm our results.
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