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Research Paper

Heart Disease Prediction

Heart Disease prediction is one of the most complicated tasks in the medical field. Day by day the cases of heart diseases are increasing at a rapid rate and it’s very important and concerning to predict any such diseases beforehand. This diagnosis is a difficult task i.e. it should be performed precisely and efficiently. We prepared a heart disease prediction system to predict whether the patient is likely to be diagnosed with heart disease or not using the medical history of the patient. Traditional approaches that involve the collection of data from devices into one centralized repository for further analysis are not always applicable due to a large amount of collected data, the use of communication channels with limited bandwidth, security and privacy requirements, etc. Federated learning (FL) is an emerging approach that allows one to analyze data directly on data sources and to federate the results of each analysis to yield a result as traditional centralized data processing. Available electronic medical records of patients quantify symptoms, body features, and clinical laboratory test values, which can be used in predicting heart disease.

Published by: Medasani Hari Kumar, Kottamasu Sai Anila, Doppalapudi Sriram, Rizwan Patan

Author: Medasani Hari Kumar

Paper ID: V8I1-1248

Paper Status: retracted

Submitted: January 24, 2022

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Research Paper

Detection of Brain Tumors from MRI images using Improved Fuzzy C means and K means template-based algorithm

For decades even with the advancement of scanning and evolving imagery systems, the detection of tumors present in the brain has become increasingly challenging and is still one of the most sensitive areas in the field of medicine. In this research work, a enhanced model is proposed in which I have employed a combination of two algorithms. The first algorithm is the K Means Clustering which is a method of vector quantization. The second is the Fuzzy C-means clustering in which each data point can be attributed to more than one cluster. When used together the algorithms give enhanced performance and is called the TKFCM algorithm. Here in this paper, first in order to initialize the segmentation the k-means algorithm is used and the template is selected based on the Gray level of the image. Then the membership that is updated is primarily determined using the distance from the centroid of the cluster to the data points of the cluster using the FCM algorithm. Next, the improved FCM clustering algorithm is fundamentally used to detect the position of the tumor based on the function that is obtained by different features that include energy, contrast, entropy, homogeneity, dissimilarity and also the correlation. The results of the paper indicate that the algorithm is capable of detecting tissues that are abnormal in a improved time window.

Published by: Karan Vikram Singh Bhatia

Author: Karan Vikram Singh Bhatia

Paper ID: V8I1-1256

Paper Status: published

Published: January 24, 2022

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Review Paper

Majeeth (Rubia codifolia linn): A review

Rubia cordifolia Linn also called as common Madder or Indian Madder, is a species of flowering plant. Rubia cordifolia is a branched climber with small, greenish white flowers that are arranged in a cluster of round, fleshy, purple fruits. Its roots have a brownish red bark from which a red dye is obtained. This plant grows well in hilly areas, and the root has medicinal values It is an important member of the Rubiaacea family. Dried roots of Rubia cordifolia, is a rich source of anthraquinones responsible for its traditional, phytochemical and pharmacological activities. Today clinical investigations of herbal formulations and their market preparations, both are on demanding because of better safety and efficacy without or minimal side effects. Many studies suggested that Rubia cordifolia has many biological effects such as antioxidant, anticancer, anti-inflammatory and analgesic, hepato-protective, anti-acne, blood purifier activity, astringent, antimicrobial, anti-dysentric, antiseptic, nephron-protective properties. The present article describes a detailed review of literature for this plant species including taxonomy pharmacology and photochemistry in an organized way. This review paper will surely serve as an important source for the future scientific investigations on this plant.

Published by: Shabnam Bano, Wajeeha Begum

Author: Shabnam Bano

Paper ID: V8I1-1261

Paper Status: published

Published: January 24, 2022

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Research Paper

Life in Sundarbans: Spatial Dimensions of Amitav Ghosh’s Gun Island

Space and Time were always treated as a fascinating matter for the aspiring research fraternity of English literature. It is of contemporary relevance and practicality to discuss the topic in detail. Many theorists like Henry Lefebvre, Edward Soja, Yi Fu Tuan were leading the discussions based on Space through their seminal literary works. Here intention of this paper is to analyse the novel Gun Island in the light of space theory and study how spatial dimension were employed by Amitav Ghosh in his narrative. Sundarbans, the tide country is the focus of the narrative though which he talks about the major themes like marginalisation, trauma of the destitute, man vs. nature conflict and so on. The inclusive view of Sundarbans especially Lusibari is narrated here pinpointing the issues of refugees, ordeal of Dalits, Natural calamities etc. Lusibari, its people their beliefs, jobs, social conditions, educational background, economic aspects, and so on were talked about. The uneducated people who were strong believers and how intimately they keep and pass on their tradition beliefs, legends etc were shown in the novel. This paper will add knowledge regarding the space Lusibari and its culture to the reading public.

Published by: Sarada P. V., Dr. T. K. Pius

Author: Sarada P. V.

Paper ID: V8I1-1259

Paper Status: published

Published: January 24, 2022

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Survey Report

Survey paper on Worry-Free 2.0- IoT based solution for smart home

We are living in an age where there is innovation every day, but still, we live in the same conventional houses. We should aim to induce some technology to our houses too. So, by considering this scenario we have developed a module that will transform our traditional houses into modern-day homes. Thus, we provided a solution for improving our lifestyle and include some of the technological advancements in our day-to-day life. Our technology was helpful to those who are specially-abled as well as those who need constant supervision. It is environmentally friendly as it helps in saving electricity. Our product will fulfill the basic requirements of daily life and ensure the safety of that family. Our product portfolio consists of products that can ensure the security of the home and bring convenience to our lifestyle. One of our products is smart to switch which can operate any appliance from any remote location. Our second product is an intruder alert, if any intruder tries to break into our house, then an alert will be sent to the owner of the house. Unnecessary electricity wastage is one of the biggest concerns of today's time, to solve this we have developed a module which will automatically turn on and off the light during day and night. Our fourth product is a gas leakage alert, if there is an LPG gas leak our product will detect it and will take measures accordingly.

Published by: Nileema Parate, Dhirajkumar Gupta, Nisha Akhand, Pranay Meshram, Karan Dalwani, Sanskruti Diyewar

Author: Nileema Parate

Paper ID: V8I1-1237

Paper Status: published

Published: January 24, 2022

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Case Study

Gossypiboma neck rare mimicker of tumor recurrence

Retained foreign bodies (RFB) or Gossypibomas are rare causes of lumps. They can present with symptoms several years after surgery. We encountered the presentation of a patient with RFB or gossypiboma after total thyroidectomy and ablative session of I131 therapy with complaints of swelling on the left side of the neck since 2mths, discharge from post-operative drain site since one month associated with pain during deglutition. The Discovery of such a case of RFB in the neck providentially at an early stage, during the investigation of such a lump, is exceptional. We report such a singular case.

Published by: Dr. Satyabrat Srikumar, T. D. Sherpa, Giriraj singh

Author: Dr. Satyabrat Srikumar

Paper ID: V8I1-1251

Paper Status: published

Published: January 24, 2022

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