Predictive analytics in mental health leveraging llm embeddings and machine learning models for social media analysis
The prevalence of stress-related disorders has increased significantly in recent years,
necessitating scalable methods to identify affected individuals. This paper proposes a novel …
necessitating scalable methods to identify affected individuals. This paper proposes a novel …
Naive Bayes for Diabetes Prediction: Developing a Classification Model for Risk Identification in Specific Populations
Depending on persuasive statistics, the increasing prevalence of diabetes worldwide is a
huge challenge for individuals, families, and nations. According to International Diabetes …
huge challenge for individuals, families, and nations. According to International Diabetes …
AN IN-DEPTH ANALYSIS OF ARTIFICIAL INTELLIGENCE APPROACHES FOR RAINFALL PREDICTION.
S Annapoorani, AK Kombaiya - International Journal of …, 2024 - search.ebscohost.com
Natural disasters and floods brought on by heavy rainfall pose serious threats to human
health and lives every year on a global scale. The intricacy of meteorological data makes it …
health and lives every year on a global scale. The intricacy of meteorological data makes it …
[PDF][PDF] Rainfall Prediction Using Random Forest and Decision Tree Algorithms
S Raniprima, N Cahyadi… - … of Informatics and …, 2024 - ejournal.akademitelkom.ac.id
[PDF][PDF] Rainfall Prediction from Himawari-8 Data Using the Deep Learning Method
V Monita - jowua.com
Abstract Changes in rainfall affect human activities and can cause natural disasters, such as
floods and landslides. This research focuses on changes in extreme rainfall that result in …
floods and landslides. This research focuses on changes in extreme rainfall that result in …