INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Patient No-Show, Data Analysis, Predictive Modeling, Healthcare Management, Machine Learning, Appointment Attendance, Decision Support System.
Cite Article:
"Predicting Patient No-Show with Data Analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f1-f7, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403501.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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