Predictive Solutions for Healthcare using Data Analytics and Machine Learning

dc.contributor.author	Saad Azhar, Syed Zain Ul Abideen Gillani Mohid Munir Khan
dc.date.accessioned	2020-12-23T05:43:05Z
dc.date.available	2020-12-23T05:43:05Z
dc.date.issued	2019
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/19483
dc.description	Supervisor: Dr. M. Ali Tahir	en_US
dc.description.abstract	Healthcare Industry over the past has been running manually. The information and diagnosis has quite a margin of error. Hence, the decisions can be made precise and the analysis can be improved by the use of Machine Learning (ML) and Data Analytics. • Hospital Resources and Pharmaceutical can also benefit as we can predict hospital admissions or readmissions and remove operational overheads. • By analyzing sales and financial data, forecasting sales in the future. • Clinical analytics for analyzing patient health status and early identification improvement.	en_US
dc.publisher	SEECS, National University of Sciences and Technology, Islamabad	en_US
dc.subject	Computer Science	en_US
dc.title	Predictive Solutions for Healthcare using Data Analytics and Machine Learning	en_US
dc.type	Thesis	en_US