Java 9

Manufactured by Oracle

Sourced in United States

Java 9 is a version of the Java programming language and platform released by Oracle. It provides a set of core libraries and tools for developing and running Java applications. Java 9 introduces several new features and improvements, but a detailed description of the intended use or interpretation of the product is not available from this marketing specialist.

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Lab products found in correlation

Stata 17, by StataCorp (2 mentions) Stata 14, by StataCorp (1 mentions)

4 protocols using java 9

Statistical Analysis of Clinical Data

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An academic physician-data scientist and biostatistician (DJM) confirmed that the final regression models were sufficiently supported by the existing literature and clinical and statistical theory. Mean values are reported with standard deviation (SDs). Fully adjusted regression results were reported with 95% confidence intervals (CIs) with statistical significance set at a 2-tailed p-value of <0.05. Statistical analysis was performed with STATA 17.0 (STATACorp, College Station, TX, USA), and machine learning analysis was performed with Java 9 (Oracle, Redwood Chores, CA, USA).

Chauhan S., Monlezun D.J., Kim J.W., Goel H., Hanna A., Hoang K., Palaskas N., Lopez-Mattei J., Hassan S., Kim P., Cilingiroglu M., Marmagkiolis K, & Iliescu C.A. (2022). Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations. Medicina, 58(7), 859.

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Comprehensive Statistical Analysis of Data

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Mean values are reported with standard deviation (SDs). Fully adjusted regression results were reported with 95% confidence intervals (CIs) with statistical significance set at a 2-tailed p-value of <0.05. Statistical analysis was performed with STATA 17.0 (STATACorp, College Station, Texas, USA), and machine learning analysis was performed with Java 9 (Oracle, Redwood Chores, California, USA).

Monlezun D.J., Badalamenti A., Javaid A., Marmagkiolis K., Honan K., Kim J.W., Patel R., Akhanti B., Halperin D., Dasari A., Koutroumpakis E., Kim P., Lopez-Mattei J., Yusuf S.W., Cilingiroglu M., Mamas M.A., Gregoric I., Yao J., Hassan S, & Iliescu C. (2023). Artificial intelligence-augmented analysis of contemporary procedural, mortality, and cost trends in carcinoid heart disease in a large national cohort with a focus on the “forgotten pulmonic valve”. Frontiers in Cardiovascular Medicine, 9, 1071138.

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Statistical and Machine Learning Analysis

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Statistical analysis was performed with STATA 14.2 (STATACorp, College Station, Texas, USA), and machine learning analysis was performed with Java 9 (Oracle, Redwood Chores, California, USA).

Thomason N., Monlezun D.J., Javaid A., Filipescu A., Koutroumpakis E., Shobayo F., Kim P., Lopez-Mattei J., Cilingiroglu M., Iliescu G., Marmagkiolis K., Ramirez P.T, & Iliescu C. (2022). Percutaneous Coronary Intervention in Patients With Gynecological Cancer: Machine Learning-Augmented Propensity Score Mortality and Cost Analysis for 383,760 Patients. Frontiers in Cardiovascular Medicine, 8, 793877.

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Multimodal Analysis of Clinical Data

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An academic physician-data scientist, biostatistician, and ethicist (DJM) confirmed that the final analytic models were sufficiently supported by the existing literature and related theories. Mean values are reported with standard deviation (SDs). Fully adjusted regression results were reported with 95% confidence intervals (CIs) with statistical significance set at a 2-tailed p-value of <0.05. Statistical analysis was performed with STATA 17.0 MP edition (STATACorp, College Station, TX, USA), and ML and DL analyses were performed with Java 9 (Oracle, Redwood Chores, CA, USA).

Monlezun D.J., Sinyavskiy O., Peters N., Steigner L., Aksamit T., Girault M.I., Garcia A., Gallagher C, & Iliescu C. (2022). Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score. Medicina, 58(8), 1039.

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