Smart spot and smart triage platform. by Rebecca Goertzen (22008461)

“…The inpatient mortality rate decreased from 5.1% in August 2018 to 2.6% in October 2023, with a significant increase in the number of cases with comparable illness severity.…”

HICH patient demographics during QI intervention. by Rebecca Goertzen (22008461)

“…The inpatient mortality rate decreased from 5.1% in August 2018 to 2.6% in October 2023, with a significant increase in the number of cases with comparable illness severity.…”

Data from: Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs by Charlotte Brault (22078544)

“…Predicting unrelated populations led to a significant decrease in accuracy but with encouraging values for some traits and populations. …”

Table 1_The boundaries between PML and PML-IRIS: difficult to define, pathology may predict.docx by Jiamin Chen (388522)

Table 4_The boundaries between PML and PML-IRIS: difficult to define, pathology may predict.docx by Jiamin Chen (388522)

Table 2_The boundaries between PML and PML-IRIS: difficult to define, pathology may predict.docx by Jiamin Chen (388522)

Table 3_The boundaries between PML and PML-IRIS: difficult to define, pathology may predict.docx by Jiamin Chen (388522)

Supplementary Material for: Preoperative prediction of microvascular invasion in intrahepatic cholangiocarcinoma and its prognostic implications: A multicenter study by figshare admin karger (2628495)

“…Stratifying patients by MVI risk—low (no predictors), intermediate (1–3 predictors), and high (4 predictors)— revealed a significant decrease in both recurrence-free and overall survival rates (p<0.001), along with a corresponding increase in early recurrence rates (p<0.001) as the risk level increased. …”

Data Sheet 1_Analysis of epidemiology and nomogram construction for prediction and clinical decision-making in gliomas.pdf by Yuxin Zhao (637525)

“…Among these factors, age and grade had the most significant impact on prognosis. Furthermore, a predictive nomogram model for 1-/3-/5-year survival rates of gliomas was developed, incorporating the prognostic factors. …”

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…The findings suggest that when λ is respectively equal to 4.19, 8.57, 10, and 12.15, the peak particle velocity (PPV) of the transmitted waves is significantly close to the incident wave amplitude. Furthermore, when λ is fixed, the energy transmission coefficient increases with the incident wave amplitude but decreases with the incident wave frequency. …”

Data Sheet 2_Predicting mortality in heart failure: BUN/creatinine ratio in MIMIC-III.docx by Changsen Zhu (20821991)

“…Nonlinear regression revealed a U-shaped relationship between BCR and mortality: at BCR levels below 12.5, there was no significant correlation with long-term mortality; between 12.5 and 22, BCR appeared to exert a protective effect; and above 22, it emerged as a significant risk factor.…”

Data Sheet 1_Predicting mortality in heart failure: BUN/creatinine ratio in MIMIC-III.csv by Changsen Zhu (20821991)

“…Nonlinear regression revealed a U-shaped relationship between BCR and mortality: at BCR levels below 12.5, there was no significant correlation with long-term mortality; between 12.5 and 22, BCR appeared to exert a protective effect; and above 22, it emerged as a significant risk factor.…”

Supplementary Material for: Exploring the ability of novel choroidal biomarkers in predicting treatment outcomes of polypoidal choroidal vasculopathy by Zhang Y. (2828780)

“…The greater change of central macular thickness (CMT) was significantly correlated with increased CMT (P=0.030), decreased CT (P=0.042) and decreased CVI (p=0.038) at baseline. …”

Table 1_Abnormal eye movements: relationship with clinical symptoms and predictive value for Alzheimer’s disease.docx by Jing Qi (235750)

“…Abnormal eye movements are significantly correlated with global cognition, multiple cognitive domains, and activities of daily living. …”

Genetic prediction of the relationship between mitochondrial proteins and diabetic polyneuropathy risk: a Mendelian randomization study by Zixiao Wang (6078317)

The role of TRECs/KRECs as immune indicators that reflect immunophenotypes and predict the risk of infection in systemic autoimmune diseases by Takuji Itakura (20657884)

“…TREC and KREC levels decreased after treatment. The ratios of TREC and KREC levels under treatment to baseline were significantly lower in patients with severe infection than those without. …”

SEAwise Report on improved predictive models of recruitment under different habitat scenarios and incorporating experimental results by Paco Melià (162862)

“…The inclusion of environmental variables or ocean circulation indices in stock-recruitment models for Bay of Biscay anchovy and sardine, black-bellied anglerfish, northern hake, sole, mackerel and blue whiting improved predictive ability compared to naïve models, while no significant improvement was obtained for seabass, southern hake, white anglerfish, horse mackerel. …”

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…</p>Results<p>We identified 25 ribosome biogenesis-related differentially expressed genes, which were significantly enriched in RNA degradation and rRNA processing. …”

Table_1_Predicting cancer-related mycobiome aspects in gastrointestinal cancers: a systematic review.docx by György Szklenarik (20296893)

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…</p>Results<p>We identified 25 ribosome biogenesis-related differentially expressed genes, which were significantly enriched in RNA degradation and rRNA processing. …”