[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
D Painuli, S Bhardwaj - Computers in Biology and Medicine, 2022 - Elsevier
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …
disease for human beings, where advance stage diagnosis may not help much in …
[HTML][HTML] Machine learning in healthcare
H Habehh, S Gohel - Current genomics, 2021 - ncbi.nlm.nih.gov
Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …
technology have brought on substantial strides in predicting and identifying health …
Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …
A novel hybrid deep learning model for metastatic cancer detection
Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
Feature selection and classification in breast cancer prediction using IoT and machine learning
Breast cancer (BC) is the most commonly found disease among women all over the world.
The early diagnosis of breast cancer can potentially reduce the mortality rate and increase …
The early diagnosis of breast cancer can potentially reduce the mortality rate and increase …
Recent advances of artificial intelligence in healthcare: A systematic literature review
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
Comparison of machine learning methods for breast cancer diagnosis
Cancer is the common problem for all people in the world with all types. Particularly, Breast
Cancer is the most frequent disease as a cancer type for women. Therefore, any …
Cancer is the most frequent disease as a cancer type for women. Therefore, any …
Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer
Breast cancer is one of the most commonly diagnosed cancers in the world that has
overtaken lung cancer and is considered a leading cause of molarity. The current study …
overtaken lung cancer and is considered a leading cause of molarity. The current study …