Impact of machine learning and deep learning on biomedical applications and healthcare industry

Impact of machine learning and deep learning on biomedical applications and healthcare industry

Cataloged from PDF version of the article.

Bibliografiska uppgifter
Huvudupphovsmän:	Kabir, Md Saif, Alam, Shahed
Materialtyp:	Artikel
Språk:	English
Publicerad:	BRAC University Research For Development Club (BURED) 2024
Ämnen:	Biomedical engineering Machine learning Deep learning Healthcare Data-driven insights Medical diagnostics Artificial intelligence Artificial intelligence. Data mining. Healthcare. Medical care. Biomedical engineering. Machine learning.
Länkar:	http://hdl.handle.net/10361/24426

Liknande verk

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

Multimodal human detection in disaster situations using deep learning & artificial intelligence
av: Rafat, Md. Tasbi, et al.
Publicerad: (2023)

A deep learning approach for prediction of ADHD using brain structure
av: Siam, Shafin Ahad, et al.
Publicerad: (2024)

A secured federated learning system leveraging confidence score to identify retinal disease
av: Eshan, M Sakib Osman, et al.
Publicerad: (2023)

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

Start up business solution using machine learning
av: Sohan, Saad Ahmed, et al.
Publicerad: (2018)

Machine learning approach for improving decision support in ICU
av: Siddiquee, Mohib Billah, et al.
Publicerad: (2019)

A machine learning approach to credit default prediction and Individual credit scoring
av: Rahman, Md. Jaber, et al.
Publicerad: (2018)

Yoga posture recognition using the deep learning process
av: Islam, Abidul, et al.
Publicerad: (2023)

Classifying insect pests from image data using deep learning
av: Mohsin, Md. Raiyan Bin, et al.
Publicerad: (2022)

Detecting propagandistic poster title: a machine learning approach
av: Mahmood, Riaz, et al.
Publicerad: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
av: Ferdous, Md.Rubaiat, et al.
Publicerad: (2024)

Machine learning approach for ECG analysis and predicting different heart diseases
av: Tithi, Sushmita Roy, et al.
Publicerad: (2019)

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

Comparison of machine learning techniques to predict cardiovascular disease
av: Jaber, Mir Mohammad, et al.
Publicerad: (2019)

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

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

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
av: Sakib, Hasibul, et al.
Publicerad: (2024)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
av: Sharma, Tanmoyee, et al.
Publicerad: (2021)

Implementation of diffusion model in realistic face generation
av: Rahman, Abidur, et al.
Publicerad: (2024)

Bank loan prediction using machine learning
av: Mahottam, Parthosarothi, et al.
Publicerad: (2023)

Real time performance analysis on DDoS attack detection using machine learning
av: Suvra, Debashis Kar, et al.
Publicerad: (2021)

The integration of AI and human contribution by Augmedix in assisting the US healthcare system
av: Zaheen, Tasfia
Publicerad: (2024)

Classification of retinal diseases from OCT images using deep learning models
av: Mokarrom, Md Saif, et al.
Publicerad: (2024)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
av: Abir, Tawhidur Rahman, et al.
Publicerad: (2019)

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
av: Hassan, Mehadi, et al.
Publicerad: (2021)

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

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
av: Rahman, Masroor, et al.
Publicerad: (2023)

Generation of realistic images from human drawn sketches using deep learning
av: Mahbub, Mohammed Julfikar Ali, et al.
Publicerad: (2022)

Deep learning-based waste classification system for efficient waste management
av: Nakib, Abdullah Al, et al.
Publicerad: (2022)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
av: Ifty, Md. Hasin Sarwar, et al.
Publicerad: (2024)

Detection of fake identities on twitter using supervised machine learning
av: Rahman, MD. Takiur, et al.
Publicerad: (2019)

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

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
av: Marvin, Ggaliwango
Publicerad: (2022)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
av: Hussain, Nadib, et al.
Publicerad: (2018)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
av: Mubin, Kazi Ehsanul, et al.
Publicerad: (2022)

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

Cancer classification using deep learning from medical image data
av: Monir, Raiyan Janik, et al.
Publicerad: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
av: Islam, Mehafuza, et al.
Publicerad: (2023)

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