Reduce Complexity of Blood Donation Process And Make It Safe by Using Data Mining
| Author(s) | : | Pooja Ghodekar, Smita Wagh, Sarika Fulsundar |
| Institution | : | Department of Computer Engineering, Jai Hind College of Engineering |
| Published In | : | Vol. 3, Issue 12 — December 2016 |
| Page No. | : | 38-41 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Blood is most essential constituent in form. Blood centers collect, method and transport blood to hospitalsand alternative health care centers. Typically blood is collected directly from blood donors instead of taking it frombank. These days donor safety is major issue as blood is collected from totally different donors. Touch of donors facereactions once donating blood and if not treated on time then it should cause serious injury. The reactions that occurwithin the donor throughout blood donation at totally different hospitals and blood banks is collected, organized andanalyzed by the Donor HART tool [1, 3]. The donor reactions data area unit captured and analyzed by Donor HARTsystem[1]. The tool additionally monitors and researches the risks concerned for donors at the time of blood donation oronce the donation method. Data processing makes a trial to reveal the patterns in knowledge that area unit troublesometo find and acknowledge with automatic pattern recognition. It's analyzing of data of knowledge of data so summarizingit into different totally different completely different type that is termed as information and is taken from differentdatabases. The planned system may be an internet primarily based application that helps to cut back the human mistakesor errors and totally different techniques is applied for people classification, designation diabetic symptoms, classifyingpeople and characteristic totally different donors reaction and apply preventive measures against them.
Pooja Ghodekar, Smita Wagh, Sarika Fulsundar, “Reduce Complexity of Blood Donation Process And Make It Safe by Using Data Mining”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 12, pp. 38-41, December 2016.








