[HTML][HTML] A new approach for cancer prediction based on deep neural learning
We know today that numerous factors play a significant role as causes of cancer. Because of
this, a doctor's opinion alone cannot be used to classify cancer. Intelligent algorithms …
this, a doctor's opinion alone cannot be used to classify cancer. Intelligent algorithms …
Combined analytical approach empowers precise spectroscopic interpretation of subcellular components of pancreatic cancer cells
K Szymoński, K Skirlińska-Nosek, E Lipiec… - Analytical and …, 2023 - Springer
The lack of specific and sensitive early diagnostic options for pancreatic cancer (PC) results
in patients being largely diagnosed with late-stage disease, thus inoperable and burdened …
in patients being largely diagnosed with late-stage disease, thus inoperable and burdened …
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks
Abstract Background Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the
main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine …
main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine …
Data privacy-aware machine learning approach in pancreatic cancer diagnosis
ÖF Akmeşe - BMC Medical Informatics and Decision Making, 2024 - Springer
Problem Pancreatic ductal adenocarcinoma (PDAC) is considered a highly lethal cancer
due to its advanced stage diagnosis. The five-year survival rate after diagnosis is less than …
due to its advanced stage diagnosis. The five-year survival rate after diagnosis is less than …
[PDF][PDF] Computer and Information Sciences
H Elwahsh, MA Tawfeek, AA Abd El-Aziz… - Journal of King Saud …, 2023 - researchgate.net
abstract We know today that numerous factors play a significant role as causes of cancer.
Because of this, a doctor's opinion alone cannot be used to classify cancer. Intelligent …
Because of this, a doctor's opinion alone cannot be used to classify cancer. Intelligent …
Feature Importance Analysis for Glucose Level Detection in Type 2 Diabetes Using Machine Learning.
BM Rao, MA Hussain - Ingénierie des Systèmes d' …, 2023 - search.ebscohost.com
In this paper, we present a machine learning-based approach for the detection of glucose
levels in type 2 diabetes patients. Our approach utilizes physiological parameters such as …
levels in type 2 diabetes patients. Our approach utilizes physiological parameters such as …