过去一年中添加的文章，按日期排序
A Machine Learning-Based Mortality Prediction Model for Patients with Chronic Hepatitis C Infection: An Exploratory Study
AM Al Alawi, HH Al Shuaili, K Al-Naamani… - Journal of Clinical …, 2024 - mdpi.com
35 天前 - … treating patients with … machine learning techniques to create predictive mortality
models for individuals with chronic HCV infections. Methods: Data from chronic HCV patients at …
models for individuals with chronic HCV infections. Methods: Data from chronic HCV patients at …
Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data
141 天前 - … could provide a personalized risk-benefit profile, inform therapeutic … a machine
learning (ML) framework using routine electronic health record (EHR) data to predict hepatitis, …
learning (ML) framework using routine electronic health record (EHR) data to predict hepatitis, …
Inflammation gene signature to predict survival outcomes in hepatocellular carcinoma (HCC): A machine-learning approach.
152 天前 - … features of inflammatory response will elucidate potential therapeutic targets that
could … Methods: Transcriptomic and clinical data of 249 patients with resectable stage I and II …
could … Methods: Transcriptomic and clinical data of 249 patients with resectable stage I and II …
Hepatitis C Disease Prediction Using Machine Learning Approach
V Viswanatha, AC Ramachandra… - … Intelligence and …, 2023 - ieeexplore.ieee.org
209 天前 - … Hepatitis C diagnosis. Medical event interpretation is a specialty of machine
learning algorithms. … We have created a Machine Learning model which helps in predicting …
learning algorithms. … We have created a Machine Learning model which helps in predicting …
1300 Prediction of efficacy and toxicities of immune checkpoint inhibitors using real-world patient data
…, E Csernai, M LeNoue-Newton, C Micheel… - 2023 - jitc.bmj.com
233 天前 - … , improve clinical trial cohort selection, and inform therapy selection in clinical …
machine learning (ML) framework that can accurately predict common immunotoxicities – hepatitis…
machine learning (ML) framework that can accurately predict common immunotoxicities – hepatitis…
[PDF][PDF] in Public Healt.~
CC Umoke, NE Richard-Nnabu, N Dahiya - infectedbloodinquiry.org.uk
285 天前 - … Treatments for hepatitis C can cure most patients within 8 … After examining multiple
types of machine learning … for predicting Hepatitis C disease in patients with the capacity to …
types of machine learning … for predicting Hepatitis C disease in patients with the capacity to …
Non‐invasive candidate protein signature predicts hepatic venous pressure gradient reduction in cirrhotic patients after sustained virologic response
…, X Forns, M Badman, AW Sailer, C Ukomadu… - Liver …, 2023 - Wiley Online Library
343 天前 - … predicting HVPG response amongst cirrhotic patients with portal hypertension due
to Hepatitis C … In particular, SomaScan and machine learning methods were used to identify …
to Hepatitis C … In particular, SomaScan and machine learning methods were used to identify …
The Science and Art of Immunosuppression in Liver Transplantation
S Saigal, AC Anand - Journal of Clinical and Experimental …, 2023 - jcehepatology.com
362 天前 - … There is a need for non-invasive biomarkers which can predict the onset and severity
of … the diagnostic yield of liver biopsies with incorporation of machine learning models. …
of … the diagnostic yield of liver biopsies with incorporation of machine learning models. …