[HTML][HTML] Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases

JA Martínez, M Alonso-Bernáldez… - World Journal of …, 2022 - ncbi.nlm.nih.gov
The liver is a key organ involved in a wide range of functions, whose damage can lead to
chronic liver disease (CLD). CLD accounts for more than two million deaths worldwide …

Automated diagnosis of COVID-19 using radiological modalities and Artificial Intelligence functionalities: A retrospective study based on chest HRCT database

U Bhattacharjya, KK Sarma, JP Medhi… - … Signal Processing and …, 2023 - Elsevier
Abstract Background and Objective: The spread of coronavirus has been challenging for the
healthcare system's proper management and diagnosis during the rapid spread and control …

Optimizing human coronavirus OC43 growth and titration

C Savoie, R Lippé - PeerJ, 2022 - peerj.com
Coronaviruses have been at the forefront of the news for the last 2 years. Unfortunately,
SARS-CoV-2, the etiologic agent for the COVID-19 pandemic, must be manipulated in …

[HTML][HTML] 数据挖掘技术在医学领域的应用综述

安冬青 - Advances in Clinical Medicine, 2023 - hanspub.org
医疗大数据的复杂性源于疾病及其合并症的多样性; 治疗和疗效的异质性; 医疗数据获取, 处理,
解读以及研究设计和分析方法的复杂性. 由于DM 具有处理海量, 非线性复杂信息以及发现庞大 …

Multiple Disease Prediction Using Machine Learning Techniques: A Comparative Analysis

R Yadav, R Rawat, SK Jha, M Rahul… - … Conference On Innovative …, 2024 - Springer
In today's world, the roles of artificial intelligence and machine learning are crucial,
permeating various sectors, including autonomous vehicles and healthcare. The medical …

Production, quantification et détection des coronavirus

C Savoie - 2023 - papyrus.bib.umontreal.ca
Les coronavirus tels que le SARS-CoV-2 représentent un danger pour la santé publique,
mobilisant la science pour le développement d'outils. Considérant les risques du SARS-CoV …