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Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes

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Clinical Risk Score for Persistent Postconcussion Symptoms Among Children With Acute Concussion in the ED

Zemek, R., Barrowman, N., Freedman, S. B., Gravel, J., Gagnon, I., McGahern, C., Aglipay, M., Sangha, G., Boutis, K., Beer, D., et al. (2016) · JAMA · doi:10.1001/jama.2016.1203 · Cited by 900 · see citing works

Brachial Flow-Mediated Dilation Predicts Incident Cardiovascular Events in Older Adults

Yeboah, J., Crouse, J. R., Hsu, F., Burke, G. L., & Herrington, D. M. (2007) · Circulation · doi:10.1161/circulationaha.106.678276 · Cited by 890 · see citing works

Carotid Intimal-Medial Thickness Is Related to Cardiovascular Risk Factors Measured From Childhood Through Middle Age

Davis, P. H., Dawson, J. D., Riley, W. A., & Lauer, R. M. (2001) · Circulation · doi:10.1161/hc4601.099486 · Cited by 881 · see citing works

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

Orlando, J. I., Fu, H., Barbosa‐Breda, J., Keer, K. V., Bathula, D. R., Diaz‐Pinto, A., Fang, R., Heng, P., Kim, J., Lee, J., et al. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.101570 · Cited by 881 · see citing works

B-Type Natriuretic Peptide and Clinical Judgment in Emergency Diagnosis of Heart Failure

McCullough, P. A., Nowak, R. M., McCord, J., Hollander, J. E., Herrmann, H. C., Steg, P. G., Duc, P., Westheim, A. S., Omland, T., Knudsen, C. W., et al. (2002) · Circulation · doi:10.1161/01.cir.0000025242.79963.4c · Cited by 875 · see citing works

Receiver operating characteristic (ROC) curve for medical researchers

Kumar, R., & Indrayan, A. (2011) · Indian Pediatrics · doi:10.1007/s13312-011-0055-4 · Cited by 872 · see citing works

Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case–control study

McQueen, M. J., Hawken, S., Wang, X., Ounpuu, S., Sniderman, A., Probstfield, J., Steyn, K., Sanderson, J. E., Hasani, M., Volkova, E., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61076-4 · Cited by 864 · see citing works

DISOPRED3: precise disordered region predictions with annotated protein-binding activity

Jones, D. T., & Cozzetto, D. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu744 · Cited by 861 · see citing works

Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation

Mason, S. J., & Graham, N. E. (2002) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/003590002320603584 · Cited by 860 · see citing works

Receiver Operating Characteristic Curves and Their Use in Radiology

Obuchowski, N. A. (2003) · Radiology · doi:10.1148/radiol.2291010898 · Cited by 843 · see citing works

The use of receiver operating characteristic curves in biomedical informatics

Lasko, T. A., Bhagwat, J. G., Zou, K. H., & Lucila Ohno-machado, A. (2005) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2005.02.008 · Cited by 821 · see citing works

Distinguishing features of long COVID identified through immune profiling

Klein, J., Wood, J., Jaycox, J. R., Dhodapkar, R. M., Lu, P., Gehlhausen, J. R., Tabachnikova, A., Greene, K., TABACOF, L. R., Malik, A. A., et al. (2023) · Nature · doi:10.1038/s41586-023-06651-y · Cited by 818 · see citing works

Cell-free DNA Analysis for Noninvasive Examination of Trisomy

Norton, M. E., Jacobsson, B., Swamy, G. K., Laurent, L. C., Ranzini, A. C., Brar, H., Tomlinson, M. W., Pereira, L., Spitz, J. L., Hollemon, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1407349 · Cited by 817 · see citing works

Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography

Imajo, K., Kessoku, T., Honda, Y., Tomeno, W., Ogawa, Y., Mawatari, H., Fujita, K., Yoneda, M., Taguri, M., Hyogo, H., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.11.048 · Cited by 815 · see citing works

An Index Combining Respiratory Rate and Oxygenation to Predict Outcome of Nasal High-Flow Therapy

Roca, O., Caralt, B., Messika, J., Samper, M. A., Sztrymf, B., Hernández, G., García-de-Acilu, M., Frat, J., Masclans, J. R., & Ricard, J.-D. (2018) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201803-0589oc · Cited by 813 · see citing works

The Metabolic Syndrome as Predictor of Type 2 Diabetes

Lorenzo, C., Okoloise, M., Williams, K., Stern, M. P., & Haffner, S. M. (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3153 · Cited by 800 · see citing works

Coronary Risk Stratification, Discrimination, and Reclassification Improvement Based on Quantification of Subclinical Coronary Atherosclerosis

Erbel, R. M., Möhlenkamp, S., Moebus, S., Schmermund, A., Lehmann, N., Stang, A., Dragano, N., Grönemeyer, D. H. W., Seibel, R. M. M., Kälsch, H., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.06.030 · Cited by 775 · see citing works

Parental History of Myopia, Sports and Outdoor Activities, and Future Myopia

Jones, L. A., Sinnott, L. T., Mutti, D. O., Mitchell, G. L., Moeschberger, M. L., & Zadnik, K. (2007) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.06-1118 · Cited by 769 · see citing works

An experimental comparison of classification algorithms for imbalanced credit scoring data sets

Brown, I., & Mues, C. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.09.033 · Cited by 768 · see citing works

Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery

Parikh, C. R., Coca, S. G., Thiessen‐Philbrook, H., Shlipak, M. G., Koyner, J. L., Wang, Z., Edelstein, C. L., Devarajan, P., Patel, U. D., Zappitelli, M., et al. (2011) · Journal of the American Society of Nephrology · doi:10.1681/asn.2010121302 · Cited by 765 · see citing works

Genotype score in addition to common risk factors for prediction of type 2 diabetes

Meigs, J. B., Shrader, P., Sullivan, L. M., McAteer, J. B., Fox, C. S., Dupuis, J., Manning, A. K., Florez, J. C., Wilson, P. W. F., D'Agostino, R. B., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804742 · Cited by 759 · see citing works

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Yala, A., Lehman, C., Schuster, T., Portnoi, T., & Barzilay, R. (2019) · Radiology · doi:10.1148/radiol.2019182716 · Cited by 758 · see citing works

Does the Metabolic Syndrome Improve Identification of Individuals at Risk of Type 2 Diabetes and/or Cardiovascular Disease?

Stern, M. P., Williams, K., González-Villalpando, C., Hunt, K. J., & Haffner, S. M. (2004) · Diabetes Care · doi:10.2337/diacare.27.11.2676 · Cited by 735 · see citing works

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Bien, N., Rajpurkar, P., Ball, R. L., Irvin, J., Park, A., Jones, E., Bereket, M., Patel, B. N., Yeom, K. W., Shpanskaya, K., et al. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002699 · Cited by 734 · see citing works

Cardiovascular Mortality Risk in Chronic Kidney Disease

Shlipak, M. G., Fried, L. F., Cushman, M., Manolio, T. A., Peterson, D., Stehman‐Breen, C. O., Bleyer, A. J., Newman, A. B., Siscovick, D. S., & Psaty, B. M. (2005) · JAMA · doi:10.1001/jama.293.14.1737 · Cited by 728 · see citing works

The Average Area under Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach Based on Generalized Two-Sample Wilcoxon Statistics

Lee, M. T., & ROSNER, B. A. (2001) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/1467-9876.00238 · Cited by 31 · see citing works

A nonparametric method of comparing the partial areas under two correlated receiver operating characteristic curves

Zhang, D. D. (1998) · Digital Commons-TMC (Texas Medical Center)

A method of comparing the areas under receiver operating characteristic curves derived from the same cases

Hanley, J. A., & McNeil, B. J. (1983) · Radiology · doi:10.1148/radiology.148.3.6878708 · Cited by 7,016 · see citing works

Bivariate Test for Testing the EQUALITY of the Average Areas under Correlated Receiver Operating Characteristic Curves (Test for Comparing of AUC’s of Correlated ROC Curves)

Senaratna, D. M., Sooriyarachchim, M. R., & Meyen, N. (2015) · American Journal of Applied Mathematics and Statistics · doi:10.12691/ajams-3-5-3 · Cited by 2 · see citing works

Construction and Comparison of Two Receiver Operating Characteristic Curves Derived from the Same Samples

Le, C. T., & Lindgren, B. R. (1995) · Biometrical Journal · doi:10.1002/bimj.4710370709 · Cited by 17 · see citing works