Volume 9 | Issue 10 |

 Abstract

With the advent of precision medicine, the traditional symptom-driven practice of medicine can be improved by using modern diagnostics earlier and creating more effective and cost-effective therapies. Due to healthcare's rising complexity and influx of data, artificial intelligence (AI) will become more widely used. Companies in the healthcare and life sciences sectors are already utilising various types of artificial intelligence (AI).Diagnostic and treatment suggestions, patient involvement and adherence, and administrative duties are all important application categories. The healthcare industry's information processing skills are being improved by new machine learning (ML) and artificial intelligence (AI) technologies. This study examines the present state of AI-based Machine Learning applications and their implications for the healthcare industry. This research included a comprehensive analysis of the literature as well as an examination of a number of real-world AI healthcare applications. Major hospitals are actively employing AI-enabled technology to support medical experts in patient diagnostic and treatment activities for a wide range of disorders.

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 Keywords

ANALYSIS ON AI AND ML-BASED BIG DATA PLATFORM FOR THE DEVELOPMENT OF THE FIELD OF MEDICINE AND IMPROVE THE QUALITY AND TRANSITION OF HEALTHCARE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

waste management, circular economy, sustainable development, trends

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Creative Commons Attribution 4.0 and The Open Definition

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Reinforcement Learning is a category of machine learning, that is based on evaluative feedback. It is about taking suitable actions and maximising rewards, which is based on feedback mechanisms. Reinforcement Learning has proven to be the state of arts method for a lot of tasks related to Artificial Intelligence. This paper presents implementation of one of the most important reinforcement learning algorithms. The project uses 3 games in which the agent will learn control policies using reinforcement learning approaches to achieve a high score. The project explores two deep reinforcement learning approaches, Markov Decision Process and Deep Q-Learning, both of them are proposed by DeepMind to train intelligent agents that can interact with an environment with the help of automatic feature engineering and thus requiring minimal domain knowledge.

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 Keywords

Reinforcement Learning, Q-Learning, Markov Decision Process

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Women's epithelial ovarian cancer has been on the rise in recent years, with one of the highest morbidity and death rates. There are numerous variables that contribute to the development of Ovarian Cancer (OVC). Adrenomedullin (ADM), which is present in nearly all tissues, including cancer tissues, has a variety of biological roles. In this study, We investigated the therapeutic potential of ADM22-52 against 7,12-Dimethylbenz [a] anthracene (DMBA) covered on silk suture induced ovarian cancer in female Wistar Albino rats. The nodule resolved weekly after the ?rst surgical procedures and ultrasonography carried out in the 20th week. On ultrasound assessment, variations of size and volume of the right and left ovaries observed. The histological studies also showed serous carcinoma cells, sarcoma, and squamous carcinoma in an induced tumour.

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 Keywords

ADM22-52, DMBA, Ovarian Cancer, Ultrasonography.

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 Abstract

Abstract: River water quality is very essential as it is used for drinking and domestic purpose, irrigation and aquatic life including fish and fisheries. The study was conducted to assess the relationship between the catchment area and water quality of Kolar River (A right bank tributary of Narmada River). Physico chemical analysis was the focus to evaluate the water quality. The water samples were collected in plastic container of 500 ml capacity from five different geographic locations along the river. And samples were collected from water at different selective sampling stations. A number of physiochemical water quality parameters including Temperature, pH, EC, TDS, DO and Chloride, were measured on field, so that the accuracy of the result will be suitable. The mean value of such respective parameters compared with the water quality standards as set by the NWQS. For catchment assessment QBR index has been used in the present study.

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Key Words: Water quality, Kolar River, Physiochemical, assessment etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Ballistic resistance training, Plyometric training, Reaction time, Noviced Sprinters

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Agriculture Tourism, Nature Tourism, Ethno tourism, Cultural Tourism.

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of this paper is to emphasize the spiritual/cultural eco-feministic theory and its embodiment in a poem. Wild Geese by an American poet Mary Oliver encrusts the theory of spiritual ecofeminism in a hypnotic tone. Mary Oliver, a distinguished and most beloved poet of America penned more than fifteen collections of poetry and various proses. The poem Wild Geese mentions how nature presents itself as a solace to humans, predominantly women. The poem describes the way nature extends a hand to humans even when humans tend to exploit and misuse the ecosystem.

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Ecofeminism, Wild Geese, Mary Oliver

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Background: Covid -19 was originated in Wuhan, China, has rapidly spread over the countries. It was a massive global health challenge and there was major cause of death and unfavorable socio-economic effects. Objectives: The purpose of this study is to compare the perception of patients towards seeking medical help during the Covid-19 pandemic. . Methods: The data for this study is collected from both primary and secondary sources. Data is gathered via a Google form and imported to SPSS for statistical analysis. The survey variable includes demographics, factors that impact healthcare facility postponement among healthcare seekers during the Covid- 19 Pandemic. Results: The study reveals that there is no difference in the perception towards accessing healthcare service among Rural and Urban Healthcare seekers.

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Creative Commons Attribution 4.0 and The Open Definition

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Covid-19 Pandemic, Healthcare seeker, Medical help, Socio-economic effects etc.

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Creative Commons Attribution 4.0 and The Open Definition