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05), and D-dimer is the most important.

Vein thrombosis during pregnancy patients anti-β2 glycoprotein I antibody IgA/G/M, platelet aggregation rate, plasma fibrinogen, and D-dimer in pregnant women group increased significantly compared with the control group, suggesting these above indicators are closely related to Venous thrombosis in pregnant women and associated with the severity of the disease. Vascular endothelial injury plays an important role in phlebothrombosis in gestation period.

Vein thrombosis during pregnancy patients anti-β2 glycoprotein I antibody IgA/G/M, platelet aggregation rate, plasma fibrinogen, and D-dimer in pregnant women group increased significantly compared with the control group, suggesting these above indicators are closely related to Venous thrombosis in pregnant women and associated with the severity of the disease. Vascular endothelial injury plays an important role in phlebothrombosis in gestation period.

Diabetic Retinopathy (DR) is a highly threatening microvascular complication of diabetes mellitus. Diabetic patients must be screened annually for DR; however, it is practically not viable due to the high volume of patients, lack of resources, economic burden, and cost of the screening procedure. The use of machine learning (ML) classifiers in medical science is an emerging frontier and can help in assisted diagnosis. The few available proposed models perform best when used in similar population cohorts and their external validation has been questioned. Therefore, the purpose of our research is to classify the DR using different ML methods on Saudi diabetic data, propose the best method based on accuracy and identify the most discriminative interpretable features using the socio-demographic and clinical information.

This cross-sectional study was conducted among 327 diabetic patients in Almajmaah, Saudi Arabia. Socio-demographic and clinical data were collected using a systematic random sampling techniquer a clinician. We will work to examine the classification performance of multi-class data using more sophisticated ML methods.

Based on the present study findings, integrating ophthalmology and ML can transform diagnosing the disease pattern that can help generate a compelling clinical effect. ML can be used as an added tool for clinical decision-making and must not be the sole substitute for a clinician. We will work to examine the classification performance of multi-class data using more sophisticated ML methods.Correction to European Review for Medical and Pharmacological Sciences 2019; 23 (18) 7802-7807-DOI 10.26355/eurrev_201909_18989-PMID 31599404, published online 15 September, 2020. The authors state that "to compare the results with those of bladder cancer in the literature we reported the study by Li D, Song L, Wen Z, Li X, Jie J, Wang Y, Peng L. Strong evidence for LncRNA ZNRD1-AS1, and its functional Cis- eQTL locus contributing more to the susceptibility of lung cancer. Oncotarget 2016; 7 35813-35817. In particular, we referred to their table format, but we misused the reference table as the official table in the manuscript". In addition to Table I, the authors make the following corrections • in the abstract results change "(OR 1.33; 95% CI 1.09-1.61; p = 0.004)" to "(OR 1.31; 95% CI 1.08-1.6; p=0.007)." • in the "Association of tagSNPs of the Cis-eQTL for ZNRD1 in ZNRD1-AS1 Gene Region With EC Susceptibility" paragraph change "(OR 1.33; 95% CI 1.09-1.61; p = 0.004)" to "(OR 1.31; 95% CI 1.08-1.6; p=0.007), "1.71 (95% CI 1.11-2.64)" to "1.67 (95% CI 1.07-2.59)", and "(0.004 × 3 = 0.012 less then 0.05)" to "(0.007*3=0.021 less then 0.05)". There are amendements to this paper. The Publisher apologizes for any inconvenience this may cause. https//www.europeanreview.org/article/18989.The article "IGHG1 functions as an oncogene in tongue squamous cell carcinoma via JAK1/STAT5 signaling, by Y.-L. Zheng, Y.-Y. Li, J.-F. Xie, H.-Q. Ma, published in Eur Rev Med Pharmacol Sci 2020; 24 (12) 6716-6725-DOI 10.26355/eurrev_202006_21659-PMID 32633362" has been withdrawn from the authors stating that "the experimental data in the article are wrong". selleckchem The Publisher apologizes for any inconvenience this may cause. https//www.europeanreview.org/article/21659.The article "Hsa_circ_0007534 knockdown represses the development of colorectal cancer cells through regulating miR-613/SLC25A22 axis, by D.-Y. Ding, D. Wang, Z.-B. Shu, published in Eur Rev Med Pharmacol Sci 2020; 24 (6) 3004-3022-DOI 10.26355/eurrev_202003_20665-PMID 32271418" has been withdrawn from the authors stating that "the findings are not reliable. The dosage was significantly low. The results can be misleading to many readers". The Publisher apologizes for any inconvenience this may cause. https//www.europeanreview.org/article/20665.The article "Regulatory effect of MiR103 on proliferation, EMT and invasion of oral squamous carcinoma cell through SALL4, by X. Liu, Y. Cao, Y. Zhang, H. Zhou, H. Li, published in Eur Rev Med Pharmacol Sci 2019; 23 (22) 9931-9938-DOI 10.26355/eurrev_201911_19559-PMID 31799662" has been withdrawn from the authors due to the fact that "some work cannot be repeated in the present paper". The Publisher apologizes for any inconvenience this may cause. https//www.europeanreview.org/article/19559.The article "MicroRNA-32 inhibits the proliferation, migration and invasion of human colon cancer cell lines by targeting E2F transcription factor 5, by F. Yang, L. Chen, Z.-J. Wang, published in Eur Rev Med Pharmacol Sci 2019; 23 (10) 4156-4163-DOI 10.26355/eurrev_201905_17918-PMID 31173286" has been withdrawn from the authors due to the fact that "some studies (shown in Figure 2) are not reproducible". The Publisher apologizes for any inconvenience this may cause. https//www.europeanreview.org/article/17918.Since this article has been suspected of research misconduct and the corresponding authors did not respond to our request to prove originality of data and figures, "Long noncoding LUCAT1 promotes cisplatin resistance of non-small cell lung cancer by promoting IGF-2, by W. Wang, M.-L. Dong, W. Zhang, T. Liu, published in Eur Rev Med Pharmacol Sci 2019; 23 (12) 5229-5234-DOI 10.26355/eurrev_201906_18188-PMID 31298373" has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https//www.europeanreview.org/article/18188.