Improving patient screening by applying predictive analytics to electronic medical records.
The power of big data continues to modernize traditional industries, including healthcare. Ian Brooks explains how to implement intelligent preventive screening for conditions by applying electronic medical records (EMR) to predictive analytics via supervised machine learning techniques.
| Talk Title | Improving patient screening by applying predictive analytics to electronic medical records. |
| Speakers | Ian Brooks (Cloudera) |
| Conference | Strata Data Conference |
| Conf Tag | Make Data Work |
| Location | New York, New York |
| Date | September 11-13, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
The power of big data continues to modernize traditional industries including healthcare. Precision medicine attempts to develop a medical practice tailored to an individual, with the goal of improving their healthcare. Ian Brooks explains how to implement intelligent preventive screening for conditions by applying electronic medical records (EMR) to predictive analytics via supervised machine learning techniques. Ian shares an end-to-end automated solution for identifying individuals whom may be at risk for metabolic syndrome and would potentially be candidates for additional screening practices and details the components of the solution, which include ingesting and indexing the raw medical records with Apache Solr, applying machine learning to them in Apache Spark, and displaying the results in a Apache Zeppelin notebook. Join in to learn how a healthcare organization can collaborate with its IT group to utilize the power of big data.
