2024
Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism
Bikdeli B, Khairani C, Bejjani A, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Rashedi S, Jimenez D, Barco S, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Mojibian H, Aneja S, Khera R, Konstantinides S, Goldhaber S, Wang L, Zhou L, Monreal M, Piazza G, Krumholz H, Investigators P. Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism. Journal Of Thrombosis And Haemostasis 2024, 23: 556-564. PMID: 39505153, DOI: 10.1016/j.jtha.2024.10.013.Peer-Reviewed Original ResearchDischarge codesInternational ClassificationICD-10Yale New Haven Health SystemPositive predictive valueMass General Brigham hospitalsAccuracy of ICD-10ICD-10 codesPulmonary embolismHealth systemImage codingElectronic databasesF1 scorePre-specified protocolExcellent positive predictive valueIndependent physiciansHighest F1 scoreIdentification of pulmonary embolismAcute pulmonary embolismSecondary codePE codesScoresIdentified PERevised algorithm
2019
New software for automated cilia detection in cells (ACDC)
Lauring MC, Zhu T, Luo W, Wu W, Yu F, Toomre D. New software for automated cilia detection in cells (ACDC). Cilia 2019, 8: 1. PMID: 31388414, PMCID: PMC6670212, DOI: 10.1186/s13630-019-0061-z.Peer-Reviewed Original ResearchManual analysisNew softwareData setsHighest F1 scoreTraditional manual analysisSoftware applicationsF1 scoreDetection accuracyUser biasRepresentative imagesInput dataSoftwareIntensity standard deviationEntire data setMain stepsParameter combinationsFalse positivesExperimental data setsKey metricsImagesSpeed enhancementAccuracyFalse negative rateMicroscopic imagesImage magnification
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply