Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
[HTML][HTML] Artificial intelligence in healthcare institutions: A systematic literature review on influencing factors
The purpose of this review is integrating and contextualizing relevant literature on the factors
influencing the adoption of AI in the healthcare industry into a comprehensive framework …
influencing the adoption of AI in the healthcare industry into a comprehensive framework …
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 …
[HTML][HTML] Prediction of breast cancer using machine learning approaches
Background: Breast cancer is considered one of the most common cancers in women
caused by various clinical, lifestyle, social, and economic factors. Machine learning has the …
caused by various clinical, lifestyle, social, and economic factors. Machine learning has the …
Prediction of breast cancer, comparative review of machine learning techniques, and their analysis
Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …
of cancer found in women around the world and it is among the leading causes of deaths in …
Cloud computing-based framework for breast cancer diagnosis using extreme learning machine
Globally, breast cancer is one of the most significant causes of death among women. Early
detection accompanied by prompt treatment can reduce the risk of death due to breast …
detection accompanied by prompt treatment can reduce the risk of death due to breast …
Towards development of IoT-ML driven healthcare systems: A survey
The impact of IoT-ML in the healthcare sector is very significant and it has helped us to
change our view at the traditional treatment methods. In IoT-ML-based healthcare …
change our view at the traditional treatment methods. In IoT-ML-based healthcare …
IIMFCBM: Intelligent integrated model for feature extraction and classification of brain tumors using MRI clinical imaging data in IoT-healthcare
Accurate classification of brain tumors is vital for detecting brain cancer in the Medical
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data
Parkinson's disease (PD) is a critical neurological ailment that affects millions of individuals
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …
Detection of breast cancer through clinical data using supervised and unsupervised feature selection techniques
Breast cancer is one the most critical disease and suffered many people around the world.
The efficient and correct detection of breast cancer is still needed to ensure this medical …
The efficient and correct detection of breast cancer is still needed to ensure this medical …