Group 12 - Programming For Data Science (WQD7004) Group Members: Hussain Ali Kazim (23115338) Wan Mohamad Hasif Bin W. Mohd Saleh (22119325) Hanim Sofiah Bin Shahrom (22102228) Nurul Hafizah binti Zaini (17172928) Muhammad Hakim Bin Nasaruddin (23079722) Final RMarkdown file

This document is group project to analysis blood donation in Malaysia. Then we forecast blood donation and to identify for blood supplying issue in hospitals by clustering to "adequate" or "low" supply.

WQD 7004 Group's 10 Programming for Data Science R project implemented by AFRINA ROSA, TAUFIQ ISMAIL, KARAM ALJANADI, CHIA KAI SWAN, SITI HAIRUNEESHA

Group 8 1. Benjamin Law Seng Yuan 23086626 2. Ang Eng Hooi 23086408 3. Clement Lim Kee Min 23121442 4. Meng Hui Dan 23104917 5. Shi Yan 24057850

Stroke prediction is critical in healthcare, as it can significantly impact patient outcomes. This study explores the use of machine learning approaches to predict strokes among both young and elderly patients. By analyzing different factors, we aim to develop a robust model to aid in early detection and prevention. According to the World Health Organization (WHO), stroke is the second leading cause of death globally, accounting for about 11% of all deaths. Thus, the stroke prediction technique with high accuracy would be essential.Machine Learning technique would be the most common technique used to the early prediction in health care area, thus, we aim to use and compare different machine learning method to predict stroke occurrence.