Predicting diabetic retinopathy based on routine laboratory tests by machine learning algorithms

Authors: Xiaohua Wan, Ruihuan Zhang, Yanan Wang, Wei Wei, Biao Song, Lin Zhang, Yanwei Hu

Source: European Journal of Medical Research, Vol 30, Iss 1, Pp 1-19 (2025)

Subject Terms: Type 2 diabetes mellitus, Diabetic retinopathy, Routine laboratory tests, Machine learning, XGBoost, Predictive model, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/2047-783X

Access URL: https://doaj.org/article/1ceded02a8254ae6b4b0bd090e1bfdd4

A self‐evaluated predictive model: A Bayesian neural network approach to colorectal cancer diagnosis

Authors: Jie Guo, Zihao Wu, Yin Jia, Hongwei Cao, Qin Qin, Tingting Sun, Xinru Zhou, Xue Pan, Cheng Hua, Chuanbin Mao, Shanrong Liu

Source: View, Vol 5, Iss 1, Pp n/a-n/a (2024)

Subject Terms: artificial intelligence, Bayesian neural network, colorectal cancer, routine laboratory tests, uncertainty quantification, Biotechnology, TP248.13-248.65, Medical technology, R855-855.5

File Description: electronic resource

Relation: https://doaj.org/toc/2688-3988; https://doaj.org/toc/2688-268X

Access URL: https://doaj.org/article/f8f040bc23e14f67908cc5f6fca94b3a

Reassessment of disease severity routine laboratory tests in the COVID-19 infection

Authors: A. A. Simushev, E. Yu. Medvedeva, Yu. O. Shulpekova, V. M. Nechaev, M. R. Skhirtladze, I. R. Popova, V. T. Ivashkin

Source: Российский журнал гастроэнтерологии, гепатологии, колопроктологии, Vol 31, Iss 6, Pp 16-22 (2022)

Subject Terms: covid-19 infection, news-2 scale, routine laboratory tests, Diseases of the digestive system. Gastroenterology, RC799-869

File Description: electronic resource

Relation: https://www.gastro-j.ru/jour/article/view/593; https://doaj.org/toc/1382-4376; https://doaj.org/toc/2658-6673

Access URL: https://doaj.org/article/ef832e1019554ec08ad550dec8194416

Can routine laboratory tests discriminate SARS‐CoV‐2‐infected pneumonia from other causes of community‐acquired pneumonia?

Authors: Yunbao Pan, Guangming Ye, Xiantao Zeng, Guohong Liu, Xiaojiao Zeng, Xianghu Jiang, Jin Zhao, Liangjun Chen, Shuang Guo, Qiaoling Deng, Xiaoyue Hong, Ying Yang, Yirong Li, Xinghuan Wang

Source: Clinical and Translational Medicine, Vol 10, Iss 1, Pp 161-168 (2020)

Subject Terms: 2019 novel coronavirus, community‐acquired pneumonia, COVID‐19, routine laboratory tests, SARS‐CoV‐2, Medicine (General), R5-920

File Description: electronic resource

Relation: https://doaj.org/toc/2001-1326

Access URL: https://doaj.org/article/dc83efca738f45828a4ebbd4849e315f

Prealbumin as a Predictor of Prognosis in Patients With Coronavirus Disease 2019

Authors: Ying Luo, Ying Xue, Liyan Mao, Xu Yuan, Qun Lin, Guoxing Tang, Huijuan Song, Feng Wang, Ziyong Sun

Source: Frontiers in Medicine, Vol 7 (2020)

Subject Terms: coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2, prealbumin, routine laboratory tests, prognosis, immune status, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fmed.2020.00374/full; https://doaj.org/toc/2296-858X

Access URL: https://doaj.org/article/c976657ef8d34e2b80e377cf765508f9

The importance of laboratory medicine in the era of COVID-19 pandemic: a challenge for patients, pediatricians, obstetricians, and clinical pathologists

Authors: Michele Mussap

Source: Journal of Pediatric and Neonatal Individualized Medicine, Vol 9, Iss 2, Pp e090201-e090201 (2020)

Subject Terms: laboratory medicine, sars-cov-2, covid-19, real-time polymerase chain reaction, serologic tests, routine laboratory tests, pregnant women, children, newborns, Medicine, Pediatrics, RJ1-570

File Description: electronic resource

Relation: https://www.jpnim.com/index.php/jpnim/article/view/947; https://doaj.org/toc/2281-0692

Access URL: https://doaj.org/article/f422c8f7ea2045c78fcc3b78275b3c60

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