Medical health data analysis based on Spark Mllib
- 10.2991/aiea-16.2016.21How to use a DOI?
- Machine learning; Medical wisdom; Health records; Classification.
In recent years, health and disease prediction has become an important part of medical wisdom, and has attracted more and more attention. At this stage, the prediction of health care mainly relies on the medical health records data. For predicting results, it is only in view of the disease or not. At present, for the lack of adaptability and limitations of the data feature selection, in this paper we use the existing health records data and available life habit data, combined with the current popular Spark machine learning computing platform, and establish a multi-classification model, which can provide a reasonable prediction and evaluation. This design has a certain degree of accuracy and efficiency and it has a certain use value.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tong Xiao AU - Yijie Shi PY - 2016/11 DA - 2016/11 TI - Medical health data analysis based on Spark Mllib BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 116 EP - 119 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.21 DO - 10.2991/aiea-16.2016.21 ID - Xiao2016/11 ER -