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Folly Beach Library
9 a.m. - 2 p.m.
*open the 2nd and 4th Saturday
*open the 2nd and 4th Saturday
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 5 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 5 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. – 5 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. – 1 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 5 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 5 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 5 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
9 a.m. – 1 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 5 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 5 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 5 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
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Prognosticating Fetal Growth Restriction and Small for Gestational Age by Medical History.
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- Author(s): SUFRIYANA, Herdiantri; AMANI, Fariska Zata; AL HAJIRI, Aufar Zimamuz Zaman; Yu-Wei WU; Emily Chia-Yu SU
- Source:
Medinfo; 2023, Vol. 310, p740-744, 5p- Subject Terms:
FETAL growth retardation -- Risk factors; DEEP learning; PRENATAL diagnosis; CONFIDENCE intervals; CONFERENCES & conventions; RETROSPECTIVE studies; MACHINE learning; RISK assessment; COMPARATIVE studies; THEORY; MEDICAL history taking; DESCRIPTIVE statistics; RESEARCH funding; PREDICTION models; SENSITIVITY & specificity (Statistics); ELECTRONIC health records; RECEIVER operating characteristic curves; SMALL for gestational age - Source:
- Additional Information
- Subject Terms:
- Abstract: This study aimed to develop and externally validate a prognostic prediction model for screening fetal growth restriction (FGR)/small for gestational age (SGA) using medical history. From a nationwide health insurance database (n=1,697,452), we retrospectively selected visits of 12-to-55-year-old females to healthcare providers. This study used machine learning (including deep learning) and 54 medical-history predictors. The best model was a deep-insight visible neural network (DI-VNN). It had area under the curve of receiver operating characteristics (AUROC) 0.742 (95% CI 0.734 to 0.750) and a sensitivity of 49.09% (95% CI 47.60% to 50.58% at with 95% specificity). Our model used medical history for screening FGR/SGA with moderate accuracy by DI-VNN. In future work, we will compare this model with those from systematically-reviewed, previous studies and evaluate if this model's usage impacts patient outcomes. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Medinfo is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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