Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Y Kumar, A Koul, R Singla, MF Ijaz - Journal of ambient intelligence and …, 2023 - Springer
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 …

A systematic method for diagnosis of hepatitis disease using machine learning

RK Sachdeva, P Bathla, P Rani, V Solanki… - Innovations in Systems …, 2023 - Springer
Hepatitis is among the deadliest diseases on the planet. Machine learning approaches can
contribute toward diagnosing hepatitis disease based on a few characteristics. On the UCI …

Hybrid genetic algorithm random forest algorithm (HGARF) for improving the missing value imputation in hepatitis medical dataset

P Dutta, S Paul, GG Jana… - … international symposium on …, 2023 - ieeexplore.ieee.org
It has always been difficult to make an exact prediction when there are many missing
numbers in the data collection. To solve this problem, the majority of hybrid models either …

[PDF][PDF] Artificial Intelligence in Brief: The Development and Impact of AI Technologies

T Redek, E Marčič, ACB Maldonado… - BEYOND BITS AND …, 2023 - ef.uni-lj.si
Artificial intelligence (AI) is expected to significantly impact the global economy in the near
future (PWC, 2023). This chapter focuses on defining AI technologies, examining their …

Deep learning for clinical decision-making and improved healthcare outcome

R Kabir, HZ Syed, D Vinnakota… - Deep Learning in …, 2023 - Elsevier
A subset of machine learning (ML) known as “deep learning”(DL) has gained popularity
recently as a result of advancements in the use of artificial neural networks, huge data, and …

Métodos y herramientas bioinformáticas: contribuciones a la mejora del diagnóstico y la gestión de pacientes

A Cisterna Garcia - Proyecto de investigación, 2023 - digitum.um.es
En esta tesis hemos aplicado y desarrollado técnicas bioinformáticas para tratar de ayudar
a los clínicos, a los biólogos ya otros bioinformáticos. Hemos integrado y usado datos …