Predicting Patient No-Show with Data Analysis

Registration ID: IJNRD_216480

Published ID: IJNRD2403501

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Jerome Andrew K, Venkatalakshmi S

Patient No-Show, Data Analysis, Predictive Modeling, Healthcare Management, Machine Learning, Appointment Attendance, Decision Support System.

This project aims to analyze the data associated with patient's appearance at their medical appointments. Despite receiving all necessary instructions, a significant number of patients fail to show up for their scheduled appointments. The goal of this analysis is to identify the factors that influence a patient’s likelihood to attend their appointment. This is achieved by examining the correlation between various variables and patient no-shows. The data set includes variables such as the scheduled date, patient’s gender, age, enrollment status in the Spanish welfare program (Scholarship), location of the hospital (Neighbourhood), and medical conditions like Hypertension, Diabetes, Alcoholism, and Handicap. It also records whether SMS reminders were sent to the patient. The project employs machine learning algorithms to predict patient no-shows based on these variables, providing valuable insights that could potentially improve appointment attendance rates. The findings of this project could be instrumental in healthcare management, particularly in improving patient compliance and optimizing resource allocation. The project is executed using data analytics operations, ensuring a robust and comprehensive analysis.

Published Paper   E-Certificate

Jerome Andrew K & Venkatalakshmi S (March-2024). Predicting Patient No-Show with Data Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), f1-f7. https://ijnrd.org/papers/IJNRD2403501.pdf

Volume 9 Issue 3, March-2024

Pages : f1-f7

Paper Reg. ID: IJNRD_216480

Published Paper Id: IJNRD2403501

Downloads: 000122010

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403501.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403501

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 12 | December 2025

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