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Steady-State Risk Prediction Analysis of Power System Based on Power Digital Twinning.

• Authors : Li, Qiang¹ (AUTHOR) ; Zhao, Feng¹ (AUTHOR); Zhuang, Li² (AUTHOR)

Subjects: *ELECTRIC transients; *DIGITAL twins; *ELECTRIFICATIONUNITED States

• Source: Sustainability (2071-1050). Feb2023, Vol. 15 Issue 3, p2555. 20p.

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Use of detailed family history data to improve risk prediction,with application to breast cancer screening.

• Authors : Jiang, Yue^1,2 (AUTHOR); Weinberg, Clarice R.¹ (AUTHOR); Sandler, Dale P.³ (AUTHOR)

Subjects: *FAMILY history (Medicine); *BREAST cancer; *EARLY detection of cancerUNITED States

• Source: PLoS ONE. 12/17/2019, Vol. 14 Issue 12, p1-15. 15p.

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Risk Prediction for Complications in Inflammatory Bowel Disease Surgery: External Validation of the American College of Surgeons' National Surgical Quality Improvement Program Surgical Risk Calculator.

• Authors : Lin V; Center for Surgical Science, Department of Surgery, Zealand University Hospital Køge, Denmark.; Gögenur S

Subjects: Quality Improvement* ; Surgeons*; Humans

• Source: Journal of Crohn's & colitis [J Crohns Colitis] 2023 Jan 27; Vol. 17 (1), pp. 73-82.Publisher: Oxford University Press Country of Publication: England NLM ID: 101318676 Publication Model: Print Cited Medium: Internet ISSN:

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Incorporating clinicopathological and molecular risk prediction tools to improve outcomes in early HR+/HER2- breast cancer.

• Authors : Curigliano, G; Dent, R; Llombart-Cussac, A ...

Subjects: Science & Technology; Life Sciences & Biomedicine; OncologyUnited States

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Genomic risk prediction of coronary artery disease in 480,000 adults: implications for primary prevention

• Authors : Inouye, M; Abraham, G; Nelson, CP

Subjects: coronary artery disease; genomic risk prediction; primary preventionUnited States

• Source: 1893 ; 1883

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Mortality risk prediction of high-sensitivity C-reactive protein in suspected acute coronary syndrome: a cohort study

• Authors : Kaura, A; Hartley, A; Panoulas, V

Subjects: General & Internal Medicine; 11 Medical and Health SciencesUnited States

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Risk prediction and failure in a complete urban sample of sex offenders.

• Authors : Craissati, Jackie¹ ; Beech, Anthony²

• Source: Journal of Forensic Psychiatry & Psychology. Mar2005, Vol. 16 Issue 1, p24-40. 17p.

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Comparison of three creatinine-based equations to predict adverse outcome in a cardiovascular high-risk cohort: an investigation using the SPRINT research materials.

• Authors : Emrich, Insa E^1,2 (AUTHOR) ; Pickering, John W³ (AUTHOR); Götzinger, Felix^1,2 (AUTHOR)

• Source: Clinical Kidney Journal. Feb2024, Vol. 17 Issue 2, p1-11. 11p.

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Systematic examination of a heart failure risk prediction tool: The pooled cohort equations to prevent heart failure.

• Authors : Bavishi A; Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.; Lloyd-Jones DM

Subjects: Black or African American/Black or African American/Black or African American/*statistics & numerical data ; Diabetes Mellitus/Diabetes Mellitus/Diabetes Mellitus/*epidemiology ; Heart Failure/Heart Failure/Heart Failure/*epidemiology

• Source: PloS one [PLoS One] 2020 Nov 03; Vol. 15 (11), pp. e0240567. Date of Electronic Publication: 2020 Nov 03 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?

• Authors : Saleh SN; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, USA. .; Makam AN

Subjects: Hospitalization* ; Patient Readmission*; Aged

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2020 Sep 15; Vol. 20 (1), pp. 227. Date of Electronic Publication: 2020 Sep 15.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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