Journal articles on the topic 'Auc-Roc'
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Hong, Chong Sun, and So Yeon Choi. "ROC curve generalization and AUC." Journal of the Korean Data And Information Science Society 31, no. 4 (July 31, 2020): 477–88. http://dx.doi.org/10.7465/jkdi.2020.31.4.477.
Hong, Chong Sun, and Dae Soon Yang. "ROC curve and AUC for linear growth models." Journal of the Korean Data and Information Science Society 26, no. 6 (November 30, 2015): 1367–75. http://dx.doi.org/10.7465/jkdi.2015.26.6.1367.
Минин, А. С. "Бинаризация вероятностного прогноза методом ROC AUC." ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ 104, no. 14 (2023): 87–91. http://dx.doi.org/10.18411/trnio-12-2023-789.
Krupinski, Elizabeth A. "Evaluating AI Clinically—It’s Not Just ROC AUC!" Radiology 298, no. 1 (January 2021): 47–48. http://dx.doi.org/10.1148/radiol.2020203782.
Mukhametshin, Rustam F., Olga P. Kovtun, and Nadezhda S. Davydova. "Respiratory parameters as a predictor of hospital outcomes in newborns requiring medical evacuation." Russian Journal of Pediatric Surgery, Anesthesia and Intensive Care 12, no. 4 (January 19, 2023): 441–52. http://dx.doi.org/10.17816/psaic1292.
Muschelli, John. "ROC and AUC with a Binary Predictor: a Potentially Misleading Metric." Journal of Classification 37, no. 3 (December 23, 2019): 696–708. http://dx.doi.org/10.1007/s00357-019-09345-1.
Khaidarov, A. G., A. I. Soloviev, and D. A. Budko. "STUDY OF THE MOST EFFICIENT MODELS AND ATRIBUTION ALGORITHMS USING THE ROC AUC INDICATOR." Современные наукоемкие технологии (Modern High Technologies), no. 7 2022 (2022): 63–68. http://dx.doi.org/10.17513/snt.39234.
García de Guadiana-Romualdo, Luis, María Dolores Albaladejo-Otón, Mario Berger, Enrique Jiménez-Santos, Roberto Jiménez-Sánchez, Patricia Esteban-Torrella, Sergio Rebollo-Acebes, Ana Hernando-Holgado, Alejandro Ortín-Freire, and Javier Trujillo-Santos. "Prognostic performance of pancreatic stone protein in critically ill patients with sepsis." Biomarkers in Medicine 13, no. 17 (December 2019): 1469–80. http://dx.doi.org/10.2217/bmm-2019-0174.
Sauka, Kudzai, Gun-Yoo Shin, Dong-Wook Kim, and Myung-Mook Han. "Adversarial Robust and Explainable Network Intrusion Detection Systems Based on Deep Learning." Applied Sciences 12, no. 13 (June 25, 2022): 6451. http://dx.doi.org/10.3390/app12136451.
Amala, R., and Sudesh Pundir. "ROC Curve and AUC for A Left-Truncated Sample from Rayleigh Distribution." American Journal of Mathematical and Management Sciences 34, no. 2 (December 31, 2014): 89–116. http://dx.doi.org/10.1080/01966324.2014.969461.
Takenouchi, Takashi, Osamu Komori, and Shinto Eguchi. "An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification." Neural Computation 24, no. 10 (October 2012): 2789–824. http://dx.doi.org/10.1162/neco_a_00336.
So, Yoon Kyoung, Zero Kim, Taek Yoon Cheong, Myung Jin Chung, Chung-Hwan Baek, Young-Ik Son, Jungirl Seok, et al. "Detection of Cancer Recurrence Using Systemic Inflammatory Markers and Machine Learning after Concurrent Chemoradiotherapy for Head and Neck Cancers." Cancers 15, no. 14 (July 8, 2023): 3540. http://dx.doi.org/10.3390/cancers15143540.
Afrianto, Mochammad Agus, and Meditya Wasesa. "Booking Prediction Models for Peer-to-peer Accommodation Listings using Logistics Regression, Decision Tree, K-Nearest Neighbor, and Random Forest Classifiers." Journal of Information Systems Engineering and Business Intelligence 6, no. 2 (October 27, 2020): 123. http://dx.doi.org/10.20473/jisebi.6.2.123-132.
Janssens, A. Cecile J. W., and Forike K. Martens. "Reflection on modern methods: Revisiting the area under the ROC Curve." International Journal of Epidemiology 49, no. 4 (January 22, 2020): 1397–403. http://dx.doi.org/10.1093/ije/dyz274.
Khoshtinat, Saeed, Babak Aminnejad, Yousef Hassanzadeh, and Hasan Ahmadi. "Application of GIS-based models of weights of evidence, weighting factor, and statistical index in spatial modeling of groundwater." Journal of Hydroinformatics 21, no. 5 (July 10, 2019): 745–60. http://dx.doi.org/10.2166/hydro.2019.127.
Mikula, Anthony L., Seth K. Williams, and Paul A. Anderson. "The use of intraoperative triggered electromyography to detect misplaced pedicle screws: a systematic review and meta-analysis." Journal of Neurosurgery: Spine 24, no. 4 (April 2016): 624–38. http://dx.doi.org/10.3171/2015.6.spine141323.
Dashina, P., and R. Vishnu Vardhan. "ESTIMATION OF AUC OF BI-GENERALIZED EXPONENTIAL ROC CURVE AND ITS ASYMPTOTIC RESULTS." Advances and Applications in Statistics 79 (August 3, 2022): 105–19. http://dx.doi.org/10.17654/0972361722062.
Zhang, Feng, Song Qiao, Ning Yao, Chunqiao Li, Marie-Christin Weber, Benedict Jefferies, Helmut Friess, Stefan Reischl, and Philipp-Alexander Neumann. "Anastomotic Rings and Inflammation Values as Biomarkers for Leakage of Stapled Circular Colorectal Anastomoses." Diagnostics 12, no. 12 (November 22, 2022): 2902. http://dx.doi.org/10.3390/diagnostics12122902.
Foley, Christina S., Edwina C. Moore, Mira Milas, Eren Berber, Joyce Shin, and Allan E. Siperstein. "RECEIVER OPERATING CHARACTERISTIC ANALYSIS OF INTRAOPERATIVE PARATHYROID HORMONE MONITORING TO DETERMINE OPTIMUM SENSITIVITY AND SPECIFICITY: ANALYSIS OF 896 CASES." Endocrine Practice 25, no. 11 (November 2019): 1117–26. http://dx.doi.org/10.4158/ep-2019-0191.
Hakim, Arif Rahman, Windu Gata, Alda Zevana Putri Widodo, Oky Kurniawan, and Arief Rama Syarif. "Analisis Perbandingan Algoritma Machine Learning Terhadap Sentimen Analis Pemindahan Ibu Kota Negara." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 7, no. 2 (April 1, 2023): 179–85. http://dx.doi.org/10.35870/jtik.v7i2.701.
Castagno, Simone, Mark Birch, Mihaela van der Schaar, and Andrew McCaskie. "A PRECISION HEALTH APPROACH FOR OSTEOARTHRITIS: PREDICTION OF RAPID KNEE OSTEOARTHRITIS PROGRESSION USING AUTOMATED MACHINE LEARNING." Orthopaedic Proceedings 105-B, SUPP_16 (November 17, 2023): 23. http://dx.doi.org/10.1302/1358-992x.2023.16.023.
Owen, Julian A., Matthew B. Fortes, Saeed Ur Rahman, Mahdi Jibani, Neil P. Walsh, and Samuel J. Oliver. "Hydration Marker Diagnostic Accuracy to Identify Mild Intracellular and Extracellular Dehydration." International Journal of Sport Nutrition and Exercise Metabolism 29, no. 6 (November 1, 2019): 604–11. http://dx.doi.org/10.1123/ijsnem.2019-0022.
Muhammad Mufti Sofyanoor, Yunita Widyastuti, Juni Kurniawaty, and Djayanti Sari. "Validity of Acute Physiology and Chronic Health Evaluation (APACHE) IV for the Prediction of Prolonged Intensive Care Unit (ICU) Length of Stay in Dr. Sardjito General Hospital in the COVID Era." Journal of Anesthesiology and Clinical Research 4, no. 2 (May 19, 2023): 426–33. http://dx.doi.org/10.37275/jacr.v4i2.302.
Mohammadi, Mehrdad, Barbara L. McFarlin, Michelle Villegas-Downs, Aiguo Han, Douglas G. Simpson, and William D. O'Brien. "Quantitative ultrasound for preterm birth risk prediction—Part 1: Statistical evaluation." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A351. http://dx.doi.org/10.1121/10.0019123.
Berrar, D. "An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise." Journal of Artificial Intelligence Research 49 (February 17, 2014): 241–67. http://dx.doi.org/10.1613/jair.4136.
Narasimhan, Harikrishna, and Shivani Agarwal. "Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve." Neural Computation 29, no. 7 (July 2017): 1919–63. http://dx.doi.org/10.1162/neco_a_00972.
Luque-Fernandez, Miguel Angel, Daniel Redondo-Sánchez, and Camille Maringe. "cvauroc: Command to compute cross-validated area under the curve for ROC analysis after predictive modeling for binary outcomes." Stata Journal: Promoting communications on statistics and Stata 19, no. 3 (September 2019): 615–25. http://dx.doi.org/10.1177/1536867x19874237.
Arcaro, Marina, Chiara Fenoglio, Maria Serpente, Andrea Arighi, Giorgio G. Fumagalli, Luca Sacchi, Stefano Floro, et al. "A Novel Automated Chemiluminescence Method for Detecting Cerebrospinal Fluid Amyloid-Beta 1-42 and 1-40, Total Tau and Phosphorylated-Tau: Implications for Improving Diagnostic Performance in Alzheimer’s Disease." Biomedicines 10, no. 10 (October 21, 2022): 2667. http://dx.doi.org/10.3390/biomedicines10102667.
Zhou, Allen S., Anthony A. Prince, Alice Z. Maxfield, and Jennifer J. Shin. "Psychological Status as an Effect Modifier of the Association Between Sinonasal Instrument and Imaging Results." Otolaryngology–Head and Neck Surgery 163, no. 5 (May 26, 2020): 1044–54. http://dx.doi.org/10.1177/0194599820926129.
Yang, Zixuan. "Prediction of Autism Spectrum Disorder: Comparison and Tuning of Machine Learning Models." Lecture Notes in Education Psychology and Public Media 35, no. 1 (January 3, 2024): 1–6. http://dx.doi.org/10.54254/2753-7048/35/20232015.
Shaikh, Yasmeen, Vasudev Parvati, and Sangappa Ramachandra Biradar. "Early disease prediction algorithm for hypertension-based diseases using data aware algorithms." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (August 1, 2022): 1100. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp1100-1108.
Nahm, Francis Sahngun. "Receiver operating characteristic curve: overview and practical use for clinicians." Korean Journal of Anesthesiology 75, no. 1 (February 1, 2022): 25–36. http://dx.doi.org/10.4097/kja.21209.
Marzban, Caren. "The ROC Curve and the Area under It as Performance Measures." Weather and Forecasting 19, no. 6 (December 1, 2004): 1106–14. http://dx.doi.org/10.1175/825.1.
Yerlikaya, Gülen, Veronica Falcone, Tina Stopp, Martina Mittlböck, Andrea Tura, Peter Husslein, Wolfgang Eppel, and Christian S. Göbl. "To Predict the Requirement of Pharmacotherapy by OGTT Glucose Levels in Women with GDM Classified by the IADPSG Criteria." Journal of Diabetes Research 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/3243754.
Wei, Chih Chiang. "Receiver Operating Characteristic for Diagnosis of Wine Quality by Bayesian Network Classifiers." Advanced Materials Research 591-593 (November 2012): 1168–73. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1168.
Yang, Jingyan, Christine L. Sardo Molmenti, Joaquin Cagliani, Harish Datta, Elliot Grodstein, Rehana Rasul, Horacio Rilo, Lewis W. Teperman, and Ernesto P. Molmenti. "Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation." International Journal of Angiology 28, no. 04 (November 1, 2019): 249–54. http://dx.doi.org/10.1055/s-0039-1700500.
Fonseca, Isabel, José Carlos Oliveira, Manuela Almeida, Madalena Cruz, Anabela Malho, La Salete Martins, Leonídio Dias, et al. "Neutrophil Gelatinase-Associated Lipocalin in Kidney Transplantation Is an Early Marker of Graft Dysfunction and Is Associated with One-Year Renal Function." Journal of Transplantation 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/650123.
Gray, Nicola, Nathan Lawler, Annie Zeng, Monique Ryan, Sze Bong, Berin Boughton, Maider Bizkarguenaga, et al. "Diagnostic Potential of the Plasma Lipidome in Infectious Disease: Application to Acute SARS-CoV-2 Infection." Metabolites 11, no. 7 (July 20, 2021): 467. http://dx.doi.org/10.3390/metabo11070467.
Liu, Jiazhou, Shihang Pan, Liang Dong, Guangyu Wu, Jiayi Wang, Yan Wang, Hongyang Qian, et al. "The Diagnostic Value of PI-RADS v2.1 in Patients with a History of Transurethral Resection of the Prostate (TURP)." Current Oncology 29, no. 9 (September 5, 2022): 6373–82. http://dx.doi.org/10.3390/curroncol29090502.
Ikegami, Takako, Hiroki Nishikawa, Masahiro Goto, Masahiro Matsui, Akira Asai, Kosuke Ushiro, Takeshi Ogura, et al. "The Relationship between the SARC-F Score and the Controlling Nutritional Status Score in Gastrointestinal Diseases." Journal of Clinical Medicine 11, no. 3 (January 24, 2022): 582. http://dx.doi.org/10.3390/jcm11030582.
do Nascimento, Carla Ferreira, Hellen Geremias dos Santos, André Filipe de Moraes Batista, Alejandra Andrea Roman Lay, Yeda Aparecida Oliveira Duarte, and Alexandre Dias Porto Chiavegatto Filho. "Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach." Age and Ageing 50, no. 5 (May 3, 2021): 1692–98. http://dx.doi.org/10.1093/ageing/afab067.
Robles-Arana, Yolanda, and Martín Padilla-Lay. "Análisis psicométrico del Cuestionario de Autorreporte (SRQ) como indicador de depresión y ansiedad en usuarios de establecimientos de salud de Lima." Revista de Neuro-Psiquiatría 86, no. 3 (October 3, 2023): 161–70. http://dx.doi.org/10.20453/rnp.v86i3-1.4971.
de la Rosa, Ezequiel, Diana M. Sima, Jan S. Kirschke, Bjoern Menze, and David Robben. "Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions." PLOS ONE 18, no. 3 (March 30, 2023): e0283610. http://dx.doi.org/10.1371/journal.pone.0283610.
Emamekhoo, Hamid, Jennifer L. Schehr, Rory M. Bade, Xiao X. Wei, Rana R. McKay, Toni K. Choueiri, and Joshua Michael Lang. "Clinical correlation of circulating tumor cell (CTC) PD-L1 and HLA I expression in metastatic renal cell carcinoma (mRCC) using exclusion-based sample preparation technology." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 721. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.721.
Guerrero-Bermúdez, Camila Andrea, Simón Villa-Pérez, Ariel Antonio Arteta-Cueto, Juan Camilo Pérez-Cadavid, and Fabián Jaimes-Barragán. "Evaluation of the performance of three non-invasive scores for the diagnosis of advanced fibrosis in a population with non-alcoholic fatty liver disease." Hepatología 5, no. 2 (May 2, 2024): 137–47. http://dx.doi.org/10.59093/27112330.113.
Vardhan, R. Vishnu, and S. Balaswamy. "Improved Methods for Estimating Areas under the Receiver Operating Characteristic Curves." International Journal of Green Computing 4, no. 2 (July 2013): 58–75. http://dx.doi.org/10.4018/jgc.2013070105.
Alebić, Miro Šimun, Nataša Stojanović, and Marta Žuvić-Butorac. "The IVF Outcome Counseling Based on the Model Combining DHEAS and Age in Patients with Low AMH Prior to the First Cycle of GnRH Antagonist Protocol of Ovarian Stimulation." International Journal of Endocrinology 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/637919.
Chan, Tommy CY, Yu Meng Wang, Marco Yu, and Vishal Jhanji. "Comparison of corneal dynamic parameters and tomographic measurements using Scheimpflug imaging in keratoconus." British Journal of Ophthalmology 102, no. 1 (May 30, 2017): 42–47. http://dx.doi.org/10.1136/bjophthalmol-2017-310355.
Astapovskii, A. A., V. N. Drozdov, E. V. Shikh, N. B. Lazareva, and S. Yu Serebrova. "Рrognostic value of proadrenomedullin in patients with COVID-19." Meditsinskiy sovet = Medical Council, no. 14 (August 12, 2022): 200–205. http://dx.doi.org/10.21518/2079-701x-2022-16-14-200-205.
Petraikin, A. V., Zh E. Belaya, A. N. Kiseleva, Z. R. Artyukova, M. G. Belyaev, V. A. Kondratenko, M. E. Pisov, et al. "Artificial intelligence for diagnosis of vertebral compression fractures using a morphometric analysis model, based on convolutional neural networks." Problems of Endocrinology 66, no. 5 (December 25, 2020): 48–60. http://dx.doi.org/10.14341/probl12605.