Journal Press India®

A Study on Data Cleaning using Visualization by Prediction and Health Monitoring

Vol 10 , Issue 3 , July - September 2022 | Pages: 67-73 | Research Paper  

https://doi.org/10.51976/ijari.1032209

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Author Details ( * ) denotes Corresponding author

1. * Manasvi Dev, Thadomal Shahani Engineering College, Mumbai, Maharashtra, India (manasvidev.md@gmail.com)
2. Mansi Singh, Thadomal Shahani Engineering College, Mumbai, Maharashtra, India
3. Vidhi Shah, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College, Mumbai, Maharashtra, India
4. Amit Hatekar, Thadomal Shahani Engineering College, Mumbai, Maharashtra, India
5. Manoj Kevadia, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College, Mumbai, Maharashtra, India

This paper presents an application through which any medical dataset could be cleaned, visualized and used for prediction. A health checkup system for a patient's vitals has been developed using the Internet of Things. Here we discuss in detail about user friendly reports generated through various graphs. Compared with several typical prediction algorithms, the prediction accuracy of our proposed algorithm reaches 89.99% with a convergence speed which is the Random Forest prediction algorithm.

Keywords

Medical Datasets; Data Cleaning; Prediction; Visualization; Internet of Things


  1. Joseph M. Hellerstein, “Data Cleaning,” EECS Computer Science Division UC Berkeley, 2008.

  2. Dataset, Heart-UCI-EDA Kaggle

  3. Johnathan Wanderer, “Clinical Data Visualization: The Current State and Future Needs” 2016.

  4. Hyejung Chang “Interactive Visualization of Healthcare Data Using Tableau”, Healthcare Informatics Research.

  5. Charlotte Prins, Gijs Van Pottelbergh, Pavlos Mamouris, Bert Vaes & Bart De Moor “An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge” 2020.

  6. Robert Hoyt (Author), Robert Muenchen (Author) “Data Preparation and Exploration: Applied to Healthcare Data” 2018.

  7. Hu, Yuanzhang MDa; Yu, Zeyun, Cheng, Xiaoen MDa,∗; Luo, Yue, Wen, Chuanbiao MDa “A bibliometric analysis and visualization of medical data mining research” 2020.

  8. Ying Yang, Xinxiang, “Analysis and Visualization Implementation of Medical Big Data” 2020.

  9. Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Marko Debeljak, Andrej Kobler, “Data mining and visualization for decision support and modeling of public health-care resources” 2018.

  10. Alan Pryor, Ph.D., Kaggle publish Data Notebook “Detailed Cleaning/Visualization (Python)” 2015.






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