Clinical characteristics of 174 infective endocarditis patients.

<p>Clinical characteristics of 174 infective endocarditis patients.</p

Microbiologic etiology in 105 patients with positive blood cultures.

<p>Microbiologic etiology in 105 patients with positive blood cultures.</p

Comparison of diagnostic criteria for infective endocarditis in two time periods.

<p>Comparison of diagnostic criteria for infective endocarditis in two time periods.</p

Anti-infectives for the treatment of infective endocarditis.

<p>Anti-infectives for the treatment of infective endocarditis.</p

Additional file 3: of Can statistic adjustment of OR minimize the potential confounding bias for meta-analysis of case-control study? A secondary data analysis

Summary of included original study. (PDF 1 mb

Additional file 1: of Can statistic adjustment of OR minimize the potential confounding bias for meta-analysis of case-control study? A secondary data analysis

Search strategy. (PDF 86 kb

Additional file 2 of Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

Additional file 2: Supplement File 1. The Neural network-based prognostic predictive tool for GCC patients

Additional file 4 of Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

Additional file 4: Supplement Table 1. The mean and standard deviation of numerical clinical features in train cohort

Additional file 5 of Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

Additional file 5: Supplement Table 2. The models’ performance of previous research in overall survival

Additional file 1 of Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

Additional file 1: Supplement Figure 1. The training curves of neural network-based prognostic predictive model for GCC