Applications of laboratory findings in the prevention, diagnosis, treatment, and monitoring of COVID-19

Z Meng, S Guo, Y Zhou, M Li, M Wang… - Signal transduction and …, 2021 - nature.com
The worldwide pandemic of coronavirus disease 2019 (COVID-19) presents us with a
serious public health crisis. To combat the virus and slow its spread, wider testing is …

Research on the medication rules of Chinese herbal formulas on treatment of threatened abortion

M Yang, J Luo, Q Yang, L Xu - Complementary Therapies in Clinical …, 2021 - Elsevier
Backgrounds Threatened abortion (TA) is the most common complication during early
pregnancy affecting 20%–25% pregnancies. A variety of Chinese herbal medicines have …

An Apriori Algorithm‐Based Association Rule Analysis to Identify Herb Combinations for Treating Uremic Pruritus Using Chinese Herbal Bath Therapy

PH Lu, JL Keng, KL Kuo, YF Wang… - Evidence‐Based …, 2020 - Wiley Online Library
Uremic pruritus (UP) is prevalent among patients with end‐stage renal disease (ESRD),
which causes severe itching and affects their quality of life. Additionally, patients experience …

Efficacy and safety of Zicuiyin decoction on diabetic kidney disease: a multicenter, randomized controlled trial

J Liu, L Gao, B Fu, H Yang, L Zhang, S Che, Y Xu, X Du… - Phytomedicine, 2022 - Elsevier
Backgroud Zicuiyin (ZCY) decoction created by Xichun Zhang in the Qing dynasty has been
used on diabetes mellitus and complications for more than two centuries in China. Huangkui …

[HTML][HTML] A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method

ZA Varzaneh, A Orooji, L Erfannia… - Informatics in medicine …, 2022 - Elsevier
Background Predicting severe respiratory failure due to COVID-19 can help triage patients
to higher levels of care, resource allocation and decrease morbidity and mortality. The need …

[HTML][HTML] Design of an artificial neural network to predict mortality among COVID-19 patients

M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …

[HTML][HTML] FangNet: mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm

D Bu, Y Xia, JY Zhang, W Cao, P Huo, Z Wang… - Computational and …, 2021 - Elsevier
The use of herbs to treat various human diseases has been recorded for thousands of years.
In Asia's current medical system, numerous herbal formulas have been repeatedly verified to …

Study on sentinel symptoms and influencing factors of postoperative chemotherapy in patients with gastric cancer

L Wei, F Lv, C Luo, Y Fang - European Journal of Oncology Nursing, 2023 - Elsevier
Purpose To explore the symptom clusters of gastric cancer patients receiving postoperative
chemotherapy, identify the sentinel symptom of each symptom cluster, and compare the …

A systematic study on the treatment of hepatitis B-related hepatocellular carcinoma with drugs based on bioinformatics and key target reverse network pharmacology …

S Li, L Hao, X Hu, L Li - Infectious Agents and Cancer, 2023 - Springer
Background Chronic hepatitis B virus (HBV) infection is the major etiology of hepatocellular
carcinoma (HCC). However, the mechanism of hepatitis B-related hepatocellular carcinoma …

Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning

S Zhang, X Zhang, J Du, W Wang, X Pi - Journal of Ethnopharmacology, 2024 - Elsevier
Abstract Ethnopharmacological relevance Traditional Chinese medicine (TCM) meridian is
the key theoretical guidance of prescription against tumor in clinical practice. However, there …