International scientific journal "Science and Innovation"

Series D Volume 2 Issue 2


DISORDER OF THE MENSTRUAL CYCLE - CAUSES, SYMPTOMS, CLASSIFICATION, TREATMENT METHODS

Rakhimova Madina Mannonovna

The rhythmic repetitive processes in the female body associated with hormones and accompanied by menstrual bleeding are called the menstrual cycle. During the menstrual cycle, changes occur in a woman's body aimed at providing the necessary conditions for the beginning of pregnancy and its completion. The formation of the menstrual function depends on the period of puberty (adolescence). Usually, menarche (first menstruation) is observed at the age of 11-14 years, after which the regularity of the menstrual cycle is established for 1 to 1.5 years.

06.02.2023 Volume 2 Issue 2 View more Download

DIABETES PREDICTION USING MACHINE LEARNING

Atadjanova Nozima Sultan-Muratovna, Abdukhakimov Fayzulla Kudratulla ugli

Diabetes is a chronic disease which occurs when the level of glucose rises above a certain amount. In other words, this is the case when the pancreas stops producing the necessary amount of insulin which controls the level of blood glucose. According to International Diabetes Federation, almost 382 million people are living with diabetes across the whole world. By 2035, the number of people with diabetes is forecast to increase up to 592 million. Diabetes is considered to be the major cause of blindness, stroke, kidney failure and many other fatal illnesses. When we consume food, our blood turns the food into sugar, or glucose. At that point, our pancreas normally releases a hormone called insulin. Insulin allows the glucose from a person’s food to access the cells in their body to supply energy. However, when a person has diabetes, this system does not work. It is generally known that Type 1 and Type 2 are the most common forms of diabetes among the elderly as well as adults, but there are also other forms such as gestational diabetes which occurs during pregnancy, and others. Machine learning is becoming a leading scientific filed in data science dealing with the ways in which machines themselves learn from experience and gradually develop. The purpose of this project is to develop a system which enables to diagnose diabetes in patients at early stage so that doctors can prevent serious consequences effectively. There are various algorithms such as K nearest neighbor, Logistic Regression, Decision Tree, Super Vector Machine and others to predict illness with high accuracy. In this project, we have decided to use Super Vector Machine algorithm in order to predict diabetes based on several symptoms in patients, and we have used a dataset which involves the symptoms of diabetes.

06.02.2023 Volume 2 Issue 2 View more Download

MODDEN MODIFICATION IN BREAST CANCER AFTER MASTECTOMY THE CURRENT STATE OF THEISSUE OFPROPHYLAXIS OF LYMPHORRHEA

Karimova Mavluda Nematovna, Davronov Begzod, Karshiboyev Alibek, Nizamova Iqbola, Tugizova Dildora Ismailovna

This article details several methods used to prevent post-mastectomy lymphorrhea using the Madden modification in breast cancer. In particular, preventive methods of post-mastectomy lymphorrhea in the pre-operative, intra-operative and post-operative period according to the Madden modification have been highlighted. Conservative and operative methods of prevention of lymphorrhea, their advantages and disadvantages are described. More than 45 foreign and local literatures are used in this article. Tugizova Dildora Ismailovna Breast cancer is one of the most common oncological diseases and has come to the fore in recent years. (Aksel E.M., 2010, Davydov M.I., 2012, Chissov V.I., 2010, Merabishvili V.M., 2012) (1,31,22) According to the information of BMSST, 1.5 mln. more breast cancer is newly diagnosed. 500,000 of the patients diagnosed in a year die within that year. Recent statistics show a 16.5% increase in breast cancer incidence and mortality [8,32].

05.02.2023 Volume 2 Issue 2 View more Download

THE EFFECT OF TROUT LIVER EXTRACT ON THE CLINICAL PARAMETERS OF LAMBS

Khatamov Tolmas Tulkinovich, Khalikov Abror Azamovich, Sulaymonov Ma’ruf Abduxolikovich, Saliev Erkin Mamashukurovich

This article describes the pulse, respiration and body temperature of 4-5 month-old lambs when using trout liver extract for experimental purposes.

04.02.2023 Volume 2 Issue 2 View more Download

THE ROLE OF VIRAL AND MYCOPLASMA INFECTION IN THE GENESIS OF THE DRAINED OVARIAN SYNDROME

Tillashaikhova Munavvar Kholmekhamedovna

To identify the role of viral and mycoplasma infection in the genesis of the pathological process were studied by smear bacterioscopy and bacteriological examination of the discharge of the urogenital organs of 115 women with ovarian depletion syndrome. The results of smear bacterioscopy evaluation showed that in women with hormonal disorders, mycoplasma infection is found in 5.7% of cases. In women with inflammatory processes, the percentage of detection of mycoplasma infection increases to 47.3%. In women with peritubal adhesions and purulent-septic complications, Urealiticum and M.hominis were found in 78% of cases, gonorrhea - in one, in three chlamydia and in five patients - trichomoniasis.

01.02.2023 Volume 2 Issue 2 View more Download