Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Differential privacy for deep and federated learning: A survey
A El Ouadrhiri, A Abdelhadi - IEEE access, 2022 - ieeexplore.ieee.org
Users' privacy is vulnerable at all stages of the deep learning process. Sensitive information
of users may be disclosed during data collection, during training, or even after releasing the …
of users may be disclosed during data collection, during training, or even after releasing the …
The role of machine learning algorithms for diagnosing diseases
I Ibrahim, A Abdulazeez - Journal of Applied Science and Technology …, 2021 - jastt.org
Nowadays, machine learning algorithms have become very important in the medical sector,
especially for diagnosing disease from the medical database. Many companies using these …
especially for diagnosing disease from the medical database. Many companies using these …
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Abstract Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …
[HTML][HTML] Machine learning based diabetes prediction and development of smart web application
Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the
risk of long-term complications including heart disease, and kidney failure among others …
risk of long-term complications including heart disease, and kidney failure among others …
[HTML][HTML] How machine learning is used to study addiction in digital healthcare: A systematic review
Long-term use of drugs can sometimes result in brain damage that greatly affects a person's
psychology and sometimes become indecent. This paper examines psychological disorders …
psychology and sometimes become indecent. This paper examines psychological disorders …
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
A comprehensive review of machine learning techniques on diabetes detection
Diabetes mellitus has been an increasing concern owing to its high morbidity, and the
average age of individual affected by of individual affected by this disease has now …
average age of individual affected by of individual affected by this disease has now …
Diagnosis of diabetes using machine learning algorithms
FA Khaleel, AM Al-Bakry - Materials Today: Proceedings, 2023 - Elsevier
One of the chronic diseases is Diabetes, Diabetes is a metabolic disorder category caused
by continued high levels of blood sugar. It is regarded as one of the most deadly diseases in …
by continued high levels of blood sugar. It is regarded as one of the most deadly diseases in …
COVID-19 in the age of artificial intelligence: a comprehensive review
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …