Blood donation application with implementation of machine learning

Blood donation application with implementation of machine learning

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Xehetasun bibliografikoak
Egile nagusia:	Diba, Sadia Nadira
Beste egile batzuk:	Alam, Md Ashraful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2018
Gaiak:	Blood Donation application Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/10130

Antzeko izenburuak

Android platform to find blood donors and predicting most suitable donors
nork: Ahmed, Nakib, et al.
Argitaratua: (2018)

Salinity mitigation through voluntary donations in a developing country: the case of Bangladesh
nork: Tahzeeda, Jasia
Argitaratua: (2021)

BRAC University donates Tk. 65 lakh for flood victims
nork: The Daily Star
Argitaratua: (2022)

Assessment of contributions of NGO Affairs Bureau to the utilization of foreign donation in primary education: an overview
nork: Khatun, Mosammat johra
Argitaratua: (2019)

Classification of peripheral blood cell images using deep learning
nork: Aadi, Oyshik Ahmed, et al.
Argitaratua: (2024)

Incorporating patient blood pressure levels into daily insulin dosing regimens
nork: Hafsa, Jannatul
Argitaratua: (2019)

Blood group detection using image processing techniques
nork: Rahman, Sakib, et al.
Argitaratua: (2018)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
nork: Toufique, S.M, et al.
Argitaratua: (2024)

Comparative study of complement protein activity of blood serum against Shigella flexneri in urban and slum population of Bangladesh
nork: Rahman, Sarjana Bilkis
Argitaratua: (2016)

Blood donation at BRAC University
nork: The New Nation
Argitaratua: (2011)

Machine Learning /
nork: Mitchell, Tom M. (Tom Michael), 1951-
Argitaratua: (1997)

An efficient deep learning approach to classify white blood cells
nork: Turja, Afif Ibna Kadir Khan, et al.
Argitaratua: (2024)

Heart disease prediction using machine learning algorithms
nork: Ali, Musfiq, et al.
Argitaratua: (2019)

Alumni opportunities using machine learning
nork: Siaum, Arshif Sharlimin, et al.
Argitaratua: (2019)

Public vehicle ETA system using machine learning
nork: Kabir, Md. Miraz, et al.
Argitaratua: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Machine learning as an indicator for breast cancer prediction
nork: Shadman, Tahsin Mohammed, et al.
Argitaratua: (2019)

An advanced healthcare android application with machine learning
nork: Ridwan, Naeeb MD, et al.
Argitaratua: (2018)

Pattern recognition and machine learning /
nork: Bishop, Christopher M.
Argitaratua: (2006)

Barriers to timely and safe blood transfusion for PPH patients: evidence from a qualitative study in Dhaka, Bangladesh
nork: Akhter, Sadika, et al.
Argitaratua: (2018)

Implementing a recommender system for Bangladeshi faculty search using machine learning
nork: Hasan, Md.Khalid
Argitaratua: (2020)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
nork: Chakma, Mitesh, et al.
Argitaratua: (2018)

Application of machine learning in credit risk assessment: a prelude to smart banking
nork: Dhruba, Mir Ishrak Maheer, et al.
Argitaratua: (2019)

Foundations of machine learning /
nork: Mohri, Mehryar, et al.
Argitaratua: (2018)

Machine learning engineering /
nork: Burkov, Andriy
Argitaratua: (2020)

Analysis of the impact of online education using EEG signals and machine learning algorithms
nork: Hoque, Ehsanul, et al.
Argitaratua: (2021)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
nork: Turjo, Aquib Abtahi, et al.
Argitaratua: (2021)

A machine learning approach to detect depression and anxiety using supervised learning
nork: Ullas, Md Tahmidur Rahman, et al.
Argitaratua: (2019)

Prediction of human activity using machine learning
nork: Tisha, Sadia Nasrin, et al.
Argitaratua: (2020)

Genetic algorithms in search, optimization, and machine learning /
nork: Goldberg, David E. (David Edward), 1953-
Argitaratua: (1989)

Predicting climate induced floods using machine learning
nork: Saleh, Chowdhury Nafis, et al.
Argitaratua: (2022)

The influence of neuromarketing: machine learning based empirical analysis
nork: Muktadir, MD. Abdullah Al, et al.
Argitaratua: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
nork: Zubair, Ahmad, et al.
Argitaratua: (2024)

Crop prediction based on geographical and climatic data using machine learning and deep learning
nork: Alif, Al Amin, et al.
Argitaratua: (2019)

Phase Transitions in Machine Learning
nork: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Argitaratua: (2012)

The hundred-page machine learning /
nork: Burkov, Andriy
Argitaratua: (2019)

Application of machine learning techniques on the context of livestock analysis
nork: Islam, Md. Shajedul, et al.
Argitaratua: (2018)

Machine learning for stress prediction
nork: Salehin, Sherajus, et al.
Argitaratua: (2023)

Machine learning and statistics : the interface /
Argitaratua: (1997)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
nork: Nazmee, Namirah, et al.
Argitaratua: (2024)