[HTML][HTML] Long short-term memory model–a deep learning approach for medical data with irregularity in cancer predication with tumor markers
X Wu, HY Wang, P Shi, R Sun, X Wang, Z Luo… - Computers in Biology …, 2022 - Elsevier
Background Machine learning (ML) has emerged as a superior method for the analysis of
large datasets. Application of ML is often hindered by incompleteness of the data which is …
large datasets. Application of ML is often hindered by incompleteness of the data which is …
Point-of-care diagnostic devices for periodontitis–current trends and urgent need
A Griffith, C Chande, S Kulkarni, J Morel… - Sensors & …, 2024 - pubs.rsc.org
Point of care (POC) diagnostic devices provide a method for rapid accurate identification of
disease through analysis of biologically relevant substances. This review focuses on the …
disease through analysis of biologically relevant substances. This review focuses on the …
A metabolomics-based screening proposal for colorectal cancer
Colorectal cancer (CRC) is a high incidence disease, characterized by high morbidity and
mortality rates. Early diagnosis remains challenging because fecal occult blood screening …
mortality rates. Early diagnosis remains challenging because fecal occult blood screening …
[HTML][HTML] Challenge of Colorectal Screening in Developing Countries
GER Antara - 2024 - intechopen.com
Colorectal cancer (CRC) is the third most common cancer worldwide in 2020. Screening is
especially suitable for colorectal cancer (CRC), given its prevalence and the belief that it …
especially suitable for colorectal cancer (CRC), given its prevalence and the belief that it …