Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future

C Ikerionwu, C Ugwuishiwu, I Okpala, I James… - Photodiagnosis and …, 2022 - Elsevier
Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …

[HTML][HTML] Analysis of the S-ANFIS algorithm for the detection of blood infections using hybrid computing

H Khatter, AK Gupta, RR Garg, M Sain - Electronics, 2022 - mdpi.com
Environment and climate change have caused a rise in a wide range of diseases and
infections. In countries where overpopulation is a problem, many infections spread severely …

Liver disease detection and prediction using SVM techniques

EM Hameed, IS Hussein… - 2022 3rd Information …, 2022 - ieeexplore.ieee.org
Because of the high prevalence and mortality rate of liver disease, early diagnosis is
essential. Machine learning techniques can be introduced in the diagnosis and treatment of …

[PDF][PDF] Smart COVID-19 Prediction System Using Neural Network

AS Khudhur, AI Abdullah - Zanco Journal of Pure and Applied Sciences, 2022 - iasj.net
The pandemic of coronavirus COVID-19 has created a great danger and concern for
humanity. Many researchers have done different types of work in this area to provide …

Investigation On Risk Analysis In Medical Diagnosis And Health Care Applications Using Machine Learning Algorithms

A Baruah, NU Patil, TH Thakkar, SL Prabha… - Journal of …, 2022 - pnrjournal.com
Artificial Intelligence (AI) as an emerging technology, the intention to imitate thought
processes, the learning capacity and knowledge management as like human, used in …

[PDF][PDF] Analysis of the S-ANFIS Algorithm for the Detection of Blood Infections Using Hybrid Computing. Electronics 2022, 11, 3733

H Khatter, AK Gupta, RR Garg, M Sain - 2022 - academia.edu
Environment and climate change have caused a rise in a wide range of diseases and
infections. In countries where overpopulation is a problem, many infections spread severely …

DIAGNOSIS OF MEDICAL CONDITIONS IN PATIENTS USING MACHINE LEARNING MODELS

MS SenthilKumar, TS Baskaran - NeuroQuantology, 2022 - search.proquest.com
A variety of patient care and intelligent health systems can benefit from the implementation
of artificial intelligence as a tool to aid caregivers. Machine learning and deep learning are …