Volume 10 | Issue 12 |

 Abstract

One of the most serious illnesses nowadays is chronic kidney disease, for which a correct diagnosis must be made as soon as possible. Machine learning techniques are currently used in medicine. The clinician can identify the ailment early with the use of a machine learning system. In this paper , chronic kidney disease prediction has been covered. Disease prediction and detection is a vital and difficult subject since it aids in early disease diagnosis by assisting pathologists and medical professionals in their decision-making.In recent studies and research, "The Artificial Neural Network" provides a useful method to address a variety of everyday issues in life or in many different fields, such as the medical field, where it can be used to anticipate a specific disease based on some provided data. In this article, we use the ANN approach to describe a system for predicting chronic kidney disease.This neural network output lets us know whether a patient has chronic renal illness or not. Artificial neural networks produce outcomes that are more accurate than those of other machine learning algorithms in the aforementioned topic of kidney disease prediction after extensive investigation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chronic Kidney Disease , Machine Learning , Artificial Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alcoholism, Classification, Health, India, Visualization, ML, Prediction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mental health includes humans emotional, psychological, and social well-being. It changes the way people perceive, believe, and continue to act. Understanding how individuals respond to stress, interact with others, and make decisions is also important. From childhood and adolescence to maturity, maintaining one's mental health is essential. Adults have a wide range of needs and coping ability for stressful situations. Many adolescents will either have accepted the restriction and school closings brought on by the epidemic scenario effectively. This research study aims to identify and evaluate recent studies on mental health. As an example, several students will return to the classroom having gone through a certain amount of stress, worry, loneliness, and sadness. Some people could have seen an increase in domestic violence. Teachers and staff at the school play an important part in helping students adjust to learning in the physical classroom afterwards, especially during long periods of time of school closure. According to official statistics provided by the World Health Organization (WHO), mental illness accounts for 90% of suicides in high-income economies. Additionally, recent research found that individuals with mental illnesses frequently disclose these conditions on social media as a form of consolation. Therefore, the primary goal of this work is to analyse the mental health of the students and teachers sequentially across time and identify those adolescents who may be at risk for depression as soon as possible. The state of a person's mental health is predicted by a machine learning algorithm, and the algorithm's effectiveness is assessed using common metrics like accuracy.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Well-being, Mental health, Stress, Depression, Prediction model, Binary Classification, 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

Behaviour Prediction, Harassment, Harassment Research, KNN, Machine Learning, Naive Bayes, Prediction model, Prediction Evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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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

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Balance Ability, Orientation Ability and Rhythm Ability

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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

Corporate Social Responsibility, responsible behavior, sustainable policies, environmental ethos, Vidyadhanam, Amrutdhara, Kaushalya, Grihini Welfare, Vasundhara. ESG.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper examines the waves of elder abuse in Nigerian community settings, which has become a major source of concern. The first section of the paper covered the background and conceptual issues surrounding elder abuse. The second section discusses the five commonly recognized subtypes of elder abuse: physical, psychological, financial, and sexual abuse, as well as potential neglect in Nigeria, the causes of which have become a major concern due to the agonizing consequences of elder abuse. The paper advocates for universal and selective control strategies to combat the rising tide of social elder abuse in Nigeria.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Strategies and keyword: Consequences, Control, Elder Abuse and Forms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Global climate change has had a direct impact on climatic weather patterns. A rise in the urban heat island effect, a decline in urban air quality, restrictions on stormwater management, and improved water run-off quality have all been brought about by increased urbanisation and the encroachment on green belts. At the same time, biodiversity has suffered significantly as a result. The roof of a structure, which is immediately exposed to solar radiation, has been highlighted as the component that has the potential to contribute to significant energy savings and environmental benefits. This study compares the amount of electrical energy needed to maintain specified indoor air temperatures with the amount of cooling load a building would require if different thermal insulation techniques for roofs were used instead of a conventional flat roof.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Comparative Analysis, Software Simulation, Vegetative Flat roofs, Solar Heat ingress, Heat gain

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Coping response, Diabetic people.

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Creative Commons Attribution 4.0 and The Open Definition