Artigos de revistas sobre o tema "Auc-Roc"
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Hong, Chong Sun, e So Yeon Choi. "ROC curve generalization and AUC". Journal of the Korean Data And Information Science Society 31, n.º 4 (31 de julho de 2020): 477–88. http://dx.doi.org/10.7465/jkdi.2020.31.4.477.
Texto completo da fonteHong, Chong Sun, e Dae Soon Yang. "ROC curve and AUC for linear growth models". Journal of the Korean Data and Information Science Society 26, n.º 6 (30 de novembro de 2015): 1367–75. http://dx.doi.org/10.7465/jkdi.2015.26.6.1367.
Texto completo da fonteМинин, А. С. "Бинаризация вероятностного прогноза методом ROC AUC". ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ 104, n.º 14 (2023): 87–91. http://dx.doi.org/10.18411/trnio-12-2023-789.
Texto completo da fonteKrupinski, Elizabeth A. "Evaluating AI Clinically—It’s Not Just ROC AUC!" Radiology 298, n.º 1 (janeiro de 2021): 47–48. http://dx.doi.org/10.1148/radiol.2020203782.
Texto completo da fonteMukhametshin, Rustam F., Olga P. Kovtun e 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, n.º 4 (19 de janeiro de 2023): 441–52. http://dx.doi.org/10.17816/psaic1292.
Texto completo da fonteMuschelli, John. "ROC and AUC with a Binary Predictor: a Potentially Misleading Metric". Journal of Classification 37, n.º 3 (23 de dezembro de 2019): 696–708. http://dx.doi.org/10.1007/s00357-019-09345-1.
Texto completo da fonteKhaidarov, A. G., A. I. Soloviev e D. A. Budko. "STUDY OF THE MOST EFFICIENT MODELS AND ATRIBUTION ALGORITHMS USING THE ROC AUC INDICATOR". Современные наукоемкие технологии (Modern High Technologies), n.º 7 2022 (2022): 63–68. http://dx.doi.org/10.17513/snt.39234.
Texto completo da fonteGarcía 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 e Javier Trujillo-Santos. "Prognostic performance of pancreatic stone protein in critically ill patients with sepsis". Biomarkers in Medicine 13, n.º 17 (dezembro de 2019): 1469–80. http://dx.doi.org/10.2217/bmm-2019-0174.
Texto completo da fonteSauka, Kudzai, Gun-Yoo Shin, Dong-Wook Kim e Myung-Mook Han. "Adversarial Robust and Explainable Network Intrusion Detection Systems Based on Deep Learning". Applied Sciences 12, n.º 13 (25 de junho de 2022): 6451. http://dx.doi.org/10.3390/app12136451.
Texto completo da fonteAmala, R., e Sudesh Pundir. "ROC Curve and AUC for A Left-Truncated Sample from Rayleigh Distribution". American Journal of Mathematical and Management Sciences 34, n.º 2 (31 de dezembro de 2014): 89–116. http://dx.doi.org/10.1080/01966324.2014.969461.
Texto completo da fonteTakenouchi, Takashi, Osamu Komori e Shinto Eguchi. "An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification". Neural Computation 24, n.º 10 (outubro de 2012): 2789–824. http://dx.doi.org/10.1162/neco_a_00336.
Texto completo da fonteSo, 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, n.º 14 (8 de julho de 2023): 3540. http://dx.doi.org/10.3390/cancers15143540.
Texto completo da fonteAfrianto, Mochammad Agus, e 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, n.º 2 (27 de outubro de 2020): 123. http://dx.doi.org/10.20473/jisebi.6.2.123-132.
Texto completo da fonteJanssens, A. Cecile J. W., e Forike K. Martens. "Reflection on modern methods: Revisiting the area under the ROC Curve". International Journal of Epidemiology 49, n.º 4 (22 de janeiro de 2020): 1397–403. http://dx.doi.org/10.1093/ije/dyz274.
Texto completo da fonteKhoshtinat, Saeed, Babak Aminnejad, Yousef Hassanzadeh e 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, n.º 5 (10 de julho de 2019): 745–60. http://dx.doi.org/10.2166/hydro.2019.127.
Texto completo da fonteMikula, Anthony L., Seth K. Williams e 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, n.º 4 (abril de 2016): 624–38. http://dx.doi.org/10.3171/2015.6.spine141323.
Texto completo da fonteDashina, P., e R. Vishnu Vardhan. "ESTIMATION OF AUC OF BI-GENERALIZED EXPONENTIAL ROC CURVE AND ITS ASYMPTOTIC RESULTS". Advances and Applications in Statistics 79 (3 de agosto de 2022): 105–19. http://dx.doi.org/10.17654/0972361722062.
Texto completo da fonteZhang, Feng, Song Qiao, Ning Yao, Chunqiao Li, Marie-Christin Weber, Benedict Jefferies, Helmut Friess, Stefan Reischl e Philipp-Alexander Neumann. "Anastomotic Rings and Inflammation Values as Biomarkers for Leakage of Stapled Circular Colorectal Anastomoses". Diagnostics 12, n.º 12 (22 de novembro de 2022): 2902. http://dx.doi.org/10.3390/diagnostics12122902.
Texto completo da fonteFoley, Christina S., Edwina C. Moore, Mira Milas, Eren Berber, Joyce Shin e 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, n.º 11 (novembro de 2019): 1117–26. http://dx.doi.org/10.4158/ep-2019-0191.
Texto completo da fonteHakim, Arif Rahman, Windu Gata, Alda Zevana Putri Widodo, Oky Kurniawan e Arief Rama Syarif. "Analisis Perbandingan Algoritma Machine Learning Terhadap Sentimen Analis Pemindahan Ibu Kota Negara". Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 7, n.º 2 (1 de abril de 2023): 179–85. http://dx.doi.org/10.35870/jtik.v7i2.701.
Texto completo da fonteCastagno, Simone, Mark Birch, Mihaela van der Schaar e Andrew McCaskie. "A PRECISION HEALTH APPROACH FOR OSTEOARTHRITIS: PREDICTION OF RAPID KNEE OSTEOARTHRITIS PROGRESSION USING AUTOMATED MACHINE LEARNING". Orthopaedic Proceedings 105-B, SUPP_16 (17 de novembro de 2023): 23. http://dx.doi.org/10.1302/1358-992x.2023.16.023.
Texto completo da fonteOwen, Julian A., Matthew B. Fortes, Saeed Ur Rahman, Mahdi Jibani, Neil P. Walsh e Samuel J. Oliver. "Hydration Marker Diagnostic Accuracy to Identify Mild Intracellular and Extracellular Dehydration". International Journal of Sport Nutrition and Exercise Metabolism 29, n.º 6 (1 de novembro de 2019): 604–11. http://dx.doi.org/10.1123/ijsnem.2019-0022.
Texto completo da fonteMuhammad Mufti Sofyanoor, Yunita Widyastuti, Juni Kurniawaty e 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, n.º 2 (19 de maio de 2023): 426–33. http://dx.doi.org/10.37275/jacr.v4i2.302.
Texto completo da fonteMohammadi, Mehrdad, Barbara L. McFarlin, Michelle Villegas-Downs, Aiguo Han, Douglas G. Simpson e William D. O'Brien. "Quantitative ultrasound for preterm birth risk prediction—Part 1: Statistical evaluation". Journal of the Acoustical Society of America 153, n.º 3_supplement (1 de março de 2023): A351. http://dx.doi.org/10.1121/10.0019123.
Texto completo da fonteBerrar, D. "An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise". Journal of Artificial Intelligence Research 49 (17 de fevereiro de 2014): 241–67. http://dx.doi.org/10.1613/jair.4136.
Texto completo da fonteNarasimhan, Harikrishna, e Shivani Agarwal. "Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve". Neural Computation 29, n.º 7 (julho de 2017): 1919–63. http://dx.doi.org/10.1162/neco_a_00972.
Texto completo da fonteLuque-Fernandez, Miguel Angel, Daniel Redondo-Sánchez e 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, n.º 3 (setembro de 2019): 615–25. http://dx.doi.org/10.1177/1536867x19874237.
Texto completo da fonteArcaro, 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, n.º 10 (21 de outubro de 2022): 2667. http://dx.doi.org/10.3390/biomedicines10102667.
Texto completo da fonteZhou, Allen S., Anthony A. Prince, Alice Z. Maxfield e Jennifer J. Shin. "Psychological Status as an Effect Modifier of the Association Between Sinonasal Instrument and Imaging Results". Otolaryngology–Head and Neck Surgery 163, n.º 5 (26 de maio de 2020): 1044–54. http://dx.doi.org/10.1177/0194599820926129.
Texto completo da fonteYang, Zixuan. "Prediction of Autism Spectrum Disorder: Comparison and Tuning of Machine Learning Models". Lecture Notes in Education Psychology and Public Media 35, n.º 1 (3 de janeiro de 2024): 1–6. http://dx.doi.org/10.54254/2753-7048/35/20232015.
Texto completo da fonteShaikh, Yasmeen, Vasudev Parvati e Sangappa Ramachandra Biradar. "Early disease prediction algorithm for hypertension-based diseases using data aware algorithms". Indonesian Journal of Electrical Engineering and Computer Science 27, n.º 2 (1 de agosto de 2022): 1100. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp1100-1108.
Texto completo da fonteNahm, Francis Sahngun. "Receiver operating characteristic curve: overview and practical use for clinicians". Korean Journal of Anesthesiology 75, n.º 1 (1 de fevereiro de 2022): 25–36. http://dx.doi.org/10.4097/kja.21209.
Texto completo da fonteMarzban, Caren. "The ROC Curve and the Area under It as Performance Measures". Weather and Forecasting 19, n.º 6 (1 de dezembro de 2004): 1106–14. http://dx.doi.org/10.1175/825.1.
Texto completo da fonteYerlikaya, Gülen, Veronica Falcone, Tina Stopp, Martina Mittlböck, Andrea Tura, Peter Husslein, Wolfgang Eppel e 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.
Texto completo da fonteWei, Chih Chiang. "Receiver Operating Characteristic for Diagnosis of Wine Quality by Bayesian Network Classifiers". Advanced Materials Research 591-593 (novembro de 2012): 1168–73. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1168.
Texto completo da fonteYang, Jingyan, Christine L. Sardo Molmenti, Joaquin Cagliani, Harish Datta, Elliot Grodstein, Rehana Rasul, Horacio Rilo, Lewis W. Teperman e Ernesto P. Molmenti. "Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation". International Journal of Angiology 28, n.º 04 (1 de novembro de 2019): 249–54. http://dx.doi.org/10.1055/s-0039-1700500.
Texto completo da fonteFonseca, 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.
Texto completo da fonteGray, 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, n.º 7 (20 de julho de 2021): 467. http://dx.doi.org/10.3390/metabo11070467.
Texto completo da fonteLiu, 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, n.º 9 (5 de setembro de 2022): 6373–82. http://dx.doi.org/10.3390/curroncol29090502.
Texto completo da fonteIkegami, 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, n.º 3 (24 de janeiro de 2022): 582. http://dx.doi.org/10.3390/jcm11030582.
Texto completo da fontedo Nascimento, Carla Ferreira, Hellen Geremias dos Santos, André Filipe de Moraes Batista, Alejandra Andrea Roman Lay, Yeda Aparecida Oliveira Duarte e Alexandre Dias Porto Chiavegatto Filho. "Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach". Age and Ageing 50, n.º 5 (3 de maio de 2021): 1692–98. http://dx.doi.org/10.1093/ageing/afab067.
Texto completo da fonteRobles-Arana, Yolanda, e 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, n.º 3 (3 de outubro de 2023): 161–70. http://dx.doi.org/10.20453/rnp.v86i3-1.4971.
Texto completo da fontede la Rosa, Ezequiel, Diana M. Sima, Jan S. Kirschke, Bjoern Menze e David Robben. "Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions". PLOS ONE 18, n.º 3 (30 de março de 2023): e0283610. http://dx.doi.org/10.1371/journal.pone.0283610.
Texto completo da fonteEmamekhoo, Hamid, Jennifer L. Schehr, Rory M. Bade, Xiao X. Wei, Rana R. McKay, Toni K. Choueiri e 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, n.º 6_suppl (20 de fevereiro de 2020): 721. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.721.
Texto completo da fonteGuerrero-Bermúdez, Camila Andrea, Simón Villa-Pérez, Ariel Antonio Arteta-Cueto, Juan Camilo Pérez-Cadavid e 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, n.º 2 (2 de maio de 2024): 137–47. http://dx.doi.org/10.59093/27112330.113.
Texto completo da fonteVardhan, R. Vishnu, e S. Balaswamy. "Improved Methods for Estimating Areas under the Receiver Operating Characteristic Curves". International Journal of Green Computing 4, n.º 2 (julho de 2013): 58–75. http://dx.doi.org/10.4018/jgc.2013070105.
Texto completo da fonteAlebić, Miro Šimun, Nataša Stojanović e 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.
Texto completo da fonteChan, Tommy CY, Yu Meng Wang, Marco Yu e Vishal Jhanji. "Comparison of corneal dynamic parameters and tomographic measurements using Scheimpflug imaging in keratoconus". British Journal of Ophthalmology 102, n.º 1 (30 de maio de 2017): 42–47. http://dx.doi.org/10.1136/bjophthalmol-2017-310355.
Texto completo da fonteAstapovskii, A. A., V. N. Drozdov, E. V. Shikh, N. B. Lazareva e S. Yu Serebrova. "Рrognostic value of proadrenomedullin in patients with COVID-19". Meditsinskiy sovet = Medical Council, n.º 14 (12 de agosto de 2022): 200–205. http://dx.doi.org/10.21518/2079-701x-2022-16-14-200-205.
Texto completo da fontePetraikin, 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, n.º 5 (25 de dezembro de 2020): 48–60. http://dx.doi.org/10.14341/probl12605.
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