Android platform to find blood donors and predicting most suitable donors
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
BRAC University
2018
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10361/10201 |
| id |
10361-10201 |
|---|---|
| record_format |
dspace |
| spelling |
10361-102012022-01-26T10:15:49Z Android platform to find blood donors and predicting most suitable donors Ahmed, Nakib Rashid, Safoan Bin Moury, Sharmin Sultana Nahar, Ankur Tairin, Suraiya Islam, Md. Saiful Department of Computer Science and Engineering, BRAC University Blood donation Blood posthaste Android platform Donors prediction This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-33). The need for blood is constant in the medical field in order to save lives, as a number of medical procedures, including most surgical interventions require blood transfusion, but despite all medical and technological advancements, the only viable method available for acquiring blood is through blood donations. Blood donation is a complex time consuming process to find donors who have blood compatibility with patients. As procuring blood posthaste is crucial in life and death situations, our goal is to present an android mobile application that will allow recipients to bridge instant communication with the most apropriate donors forthwith. Our application will work to provide information regarding a requested blood type, and number of available donors around the location. Our aim is to provide an application that will benefit patients in critical situations where there is urgent requirement of a specific blood type. Our platform will connect blood donors and recipients in an effective manner. We intend to provide suggestions regarding the most suitable donors based on blood type, and location, through the implementation of Haversine algorithm. The main objective of this thesis was to create a search platform aimed to locate blood donors, and bring donors and recipient in dire need of blood, to a common platform, so that it could later be used as a medical assistance software. Nakib Ahmed Safoan-Bin-Rashid Sharmin Sultana Moury Ankur Nahar B. Computer Science and Engineering 2018-05-27T03:56:31Z 2018-05-27T03:56:31Z 2018 2018-03 Thesis ID 13201019 ID 13201020 ID 13201017 ID 14201049 http://hdl.handle.net/10361/10201 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 43 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Blood donation Blood posthaste Android platform Donors prediction |
| spellingShingle |
Blood donation Blood posthaste Android platform Donors prediction Ahmed, Nakib Rashid, Safoan Bin Moury, Sharmin Sultana Nahar, Ankur Android platform to find blood donors and predicting most suitable donors |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Tairin, Suraiya |
| author_facet |
Tairin, Suraiya Ahmed, Nakib Rashid, Safoan Bin Moury, Sharmin Sultana Nahar, Ankur |
| format |
Thesis |
| author |
Ahmed, Nakib Rashid, Safoan Bin Moury, Sharmin Sultana Nahar, Ankur |
| author_sort |
Ahmed, Nakib |
| title |
Android platform to find blood donors and predicting most suitable donors |
| title_short |
Android platform to find blood donors and predicting most suitable donors |
| title_full |
Android platform to find blood donors and predicting most suitable donors |
| title_fullStr |
Android platform to find blood donors and predicting most suitable donors |
| title_full_unstemmed |
Android platform to find blood donors and predicting most suitable donors |
| title_sort |
android platform to find blood donors and predicting most suitable donors |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10201 |
| work_keys_str_mv |
AT ahmednakib androidplatformtofindblooddonorsandpredictingmostsuitabledonors AT rashidsafoanbin androidplatformtofindblooddonorsandpredictingmostsuitabledonors AT mourysharminsultana androidplatformtofindblooddonorsandpredictingmostsuitabledonors AT naharankur androidplatformtofindblooddonorsandpredictingmostsuitabledonors |
| _version_ |
1814308364899844096 |