[HTML][HTML] A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and …
Breast cancer is the most common life-threatening cancer in women and one of the leading
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
A comparative study, prediction and development of chronic kidney disease using machine learning on patients clinical records
Abstract Chronic Kidney Disease (CKD) has become a major problem in modern times, and
it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues …
it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues …
Machine learning-based rainfall prediction: Unveiling insights and forecasting for improved preparedness
Rainfall prediction plays a crucial role in raising awareness about the potential dangers
associated with rain and enabling individuals to take proactive measures for their safety …
associated with rain and enabling individuals to take proactive measures for their safety …
Identifying discernible indications of psychological well-being using ML: explainable AI in reddit social media interactions
Psychological well-being is a multidimensional construct and identifying it using a
systematic, comprehensive approach offers insights fundamental to critical outcomes. Social …
systematic, comprehensive approach offers insights fundamental to critical outcomes. Social …
Intelligent Identification of Hate Speeches to address the increased rate of Individual Mental Degeneration
Hate speech is a public statement that demonstrates resentment or provokes disturbance
towards a person or group often based upon race, age, religion, sexual orientation, minority …
towards a person or group often based upon race, age, religion, sexual orientation, minority …
[PDF][PDF] Depression Diagnosis using Text-based AI Methods-A Systematic Review.
M Di Felice, P Chatterjee, MFP Cattaneo - ICAI Workshops, 2022 - ceur-ws.org
Recent years have seen increasing use of artificial intelligence in the domain of healthcare
and mental health is no exception. This study is focused on the particular aspect of …
and mental health is no exception. This study is focused on the particular aspect of …
Machine Learning for Early Detection of Child Depression: A Data-Driven Approach
Children face trauma due to numerous factors such as parental fights, bullied in school,
being below average student, racist comments, physical abuse etc. This trauma deteriorates …
being below average student, racist comments, physical abuse etc. This trauma deteriorates …
Depression Detection via Influence-based Relabeling for Resolving Training Set Noise
Early depression detection research employs machine learning models trained on crowd-
sourcing data. The training data easily suffer from label noise due to weak self-perception of …
sourcing data. The training data easily suffer from label noise due to weak self-perception of …
[PDF][PDF] Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness
WELS ALSHATHRI - academia.edu
Rainfall prediction plays a crucial role in raising awareness about the potential dangers
associated with rain and enabling individuals to take proactive measures for their safety …
associated with rain and enabling individuals to take proactive measures for their safety …
[PDF][PDF] Decision Analytics Journal
Breast cancer is the most common life-threatening cancer in women and one of the leading
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
causes of death. Early diagnosis is one of the best defenses against the spread of breast …