Machine learning approach for improving decision support in ICU

Machine learning approach for improving decision support in ICU

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

Opis bibliograficzny
Główni autorzy:	Siddiquee, Mohib Billah, Fuad, Mostofa Jamil, Azmain, Md. Fahim
Kolejni autorzy:	Alam, Md. Ashraful
Format:	Praca dyplomowa
Język:	English
Wydane:	BRAC University 2019
Hasła przedmiotowe:	ICU Machine learning Artificial intelligence
Dostęp online:	http://hdl.handle.net/10361/11602

Podobne zapisy

KOAD implemented automatic ICU signalling and error minimization
od: Shemonti, Nazifa Mubashshera, i wsp.
Wydane: (2016)

Taking meredith out of Grey's anatomy: automating hospital ICU emergency signaling
od: Ahmed, Tarem, i wsp.
Wydane: (2016)

Alumni opportunities using machine learning
od: Siaum, Arshif Sharlimin, i wsp.
Wydane: (2019)

Bacteriophage therapy against nosocomial infection and airborne Infection control in ICU
od: Afreen, Fatema
Wydane: (2024)

Bank loan prediction using machine learning
od: Mahottam, Parthosarothi, i wsp.
Wydane: (2023)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
od: Sayma, Sadika, i wsp.
Wydane: (2024)

Predicting climate induced floods using machine learning
od: Saleh, Chowdhury Nafis, i wsp.
Wydane: (2022)

Real time performance analysis on DDoS attack detection using machine learning
od: Suvra, Debashis Kar, i wsp.
Wydane: (2021)

Machine learning approach for ECG analysis and predicting different heart diseases
od: Tithi, Sushmita Roy, i wsp.
Wydane: (2019)

Start up business solution using machine learning
od: Sohan, Saad Ahmed, i wsp.
Wydane: (2018)

Application of machine learning in credit risk assessment: a prelude to smart banking
od: Dhruba, Mir Ishrak Maheer, i wsp.
Wydane: (2019)

Detecting propagandistic poster title: a machine learning approach
od: Mahmood, Riaz, i wsp.
Wydane: (2024)

A machine learning approach to credit default prediction and Individual credit scoring
od: Rahman, Md. Jaber, i wsp.
Wydane: (2018)

Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
od: Sajid, Abul Kasem, i wsp.
Wydane: (2021)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
od: Rafat, Md. Tasbi, i wsp.
Wydane: (2023)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
od: Kabir, Md Saif, i wsp.
Wydane: (2024)

Comparison of machine learning techniques to predict cardiovascular disease
od: Jaber, Mir Mohammad, i wsp.
Wydane: (2019)

Artificial intelligence : a modern approach /
od: Russell, Stuart J. (Stuart Jonathan)
Wydane: (2003)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
od: Rahman, Masroor, i wsp.
Wydane: (2023)

Machine learning-based approach on predicting online shopping addiction using EEG signals
od: Nawer, Nafisa, i wsp.
Wydane: (2023)

NLP-based AI robot for intelligent interaction
od: Dastagir, Golam, i wsp.
Wydane: (2024)

Artificial intelligence : a modern approach /
od: Russell, Stuart J. (Stuart Jonathan)
Wydane: (2016)

A deep learning approach for prediction of ADHD using brain structure
od: Siam, Shafin Ahad, i wsp.
Wydane: (2024)

Making AI intelligible :
od: Cappelen, Herman

Artificial Intelligence : a new synthesis /
od: Nilsson, Nils J., 1933-
Wydane: (1998)

Artificial intelligence /
od: Rich, Elaine
Wydane: (1991)

Introduction to artificial intelligence /
od: Charniak, Eugene
Wydane: (1985)

Principles of artificial intelligence /
od: Nilsson, Nils J., 1933-
Wydane: (1980)

Artificial intelligence /
od: Winston, Patrick Henry
Wydane: (1992)

Artificial intelligence at MIT : expanding frontiers /
Wydane: (1990)

Introduction to artificial intelligence /
od: Jackson, Philip C., 1949-
Wydane: (1985)

A review on the role of artificial intelligence in healthcare transformation
od: Brishti, Iffat Ara
Wydane: (2024)

Implementation of diffusion model in realistic face generation
od: Rahman, Abidur, i wsp.
Wydane: (2024)

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
od: Nahar, Fatiha Binte Kamrun, i wsp.
Wydane: (2023)

Heart attack prediction using machine learning and XAI
od: Ahsan, Mumtahina
Wydane: (2023)

Implementing A.I based solutions to understand & predict consumer sentiment
od: Bin Ahmed, Omar
Wydane: (2023)

Predicting obesity: a comparative analysis of machine learning models incorporating different features
od: Rahman, Md.Sakibur, i wsp.
Wydane: (2023)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
od: Abir, Tawhidur Rahman, i wsp.
Wydane: (2019)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
od: Jahan, Asif
Wydane: (2024)

Machine learning with quantum computers /
od: Schuld, Maria
Wydane: (2021)