[Retracted] Influential Usage of Big Data and Artificial Intelligence in Healthcare

YC Yang, SU Islam, A Noor, S Khan… - … methods in medicine, 2021 - Wiley Online Library
Artificial intelligence (AI) is making computer systems capable of executing human brain
tasks in many fields in all aspects of daily life. The enhancement in information and …

[HTML][HTML] Artificial intelligence: New age of transformation in petroleum upstream

P Solanki, D Baldaniya, D Jogani, B Chaudhary… - Petroleum …, 2022 - Elsevier
Abstract In the Oil and Gas industry, the implementation of artificial intelligence techniques
gives advantages of better use of existing infrastructure. It provides better future outcomes …

An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis

P Nagaraj, P Deepalakshmi - International Journal of Imaging …, 2022 - Wiley Online Library
Diabetes is one of the most common and hazardous diseases, which can affect almost every
organ in the body. Diagnosis of diabetes requires determining all vital parameters related to …

Fine-tuning fuzzy KNN classifier based on uncertainty membership for the medical diagnosis of diabetes

H Salem, MY Shams, OM Elzeki, M Abd Elfattah… - Applied Sciences, 2022 - mdpi.com
Diabetes, a metabolic disease in which the blood glucose level rises over time, is one of the
most common chronic diseases at present. It is critical to accurately predict and classify …

Dataset and feature analysis for Diabetes Mellitus classification using random forest

F Mustofa, AN Safriandono, AR Muslikh… - Journal of …, 2023 - eprints.unmer.ac.id
: Diabetes Mellitus is a hazardous disease, and according to the World Health Organization
(WHO), diabetes will be one of the main causes of death by 2030. One of the most popular …

[PDF][PDF] Disease diagnosis system using IoT empowered with fuzzy inference system

TM Alam, K Shaukat, A Khelifi, WA Khan… - Comput. Mater …, 2022 - repository-api.adu.ac.ae
Disease diagnosis is a challenging task due to a large number of associated factors.
Uncertainty in the diagnosis process arises from inaccuracy in patient attributes, missing …

Prediction and estimation of solar radiation using artificial neural network (ANN) and fuzzy system: a comprehensive review

D Shah, K Patel, M Shah - International Journal of Energy and Water …, 2021 - Springer
The immense capability of artificial intelligence is to improve solar and wind speed
prediction capability using various algorithms and models. The author has reviewed many …

Energy consumption and price forecasting through data-driven analysis methods: A review

H Patel, M Shah - SN Computer Science, 2021 - Springer
Prediction of energy consumption and price is crucial in formatting policies related to the
global energy market, demand, and supply. Data-driven analysis methods are giving rise to …

Performance comparison between type-1 and type-2 fuzzy logic control applied to insulin pump injection in real time for patients with diabetes

L Cervantes, C Caraveo, O Castillo - Mathematics, 2023 - mdpi.com
Nowadays, type 1 diabetes is unfortunately one of the most common diseases, and people
tend to develop it due to external factors or by hereditary factors. If is not treated, this disease …

Prediction of diabetic retinopathy using health records with machine learning classifiers and data science

B Sumathy, A Chakrabarty, S Gupta… - International Journal of …, 2022 - igi-global.com
Diabetes is a rapidly spreading disease. When the pancreas produces insufficient insulin or
the body cannot utilise it effectively. Diabetic Retinopathy (DR) and blindness are two major …