• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 136 matches

• 2022
• 
  Fei Chen, Yungang Sun, Guanqi Chen, Yuqian Luo, Guifang Xue, Kongmei Luo, Haoyuan Ma, Jiaxin Yao, Zhangtian Zhu, Guanbin Li, Qiang Li:
  The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules. Comput. Math. Methods Medicine 2022: 9995962:1-9995962:9 (2022)
• 
  Yee Seng Ng, Bilal Quadri, Chris Baker, Christopher Foster, Roderick W. McColl, David Fetzer, Ronald M. Peshock, Travis Browning:
  Use of Web-Based Calculator for the Implementation of ACR TI-RADS Risk-Stratification System. J. Digit. Imaging 35(1): 21-28 (2022)
• 
  Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang, Xuehua Bi:
  Prediction and risk stratification from hospital discharge records based on Hierarchical sLDA. BMC Medical Informatics Decis. Mak. 22(1): 14 (2022)
• 
  Rema Padman, Jennifer Grant, Urmila Ravichandran, Ravi Bashyal, Nirav Shah:
  Risk Stratification and Prediction of Postoperative Complications Using Temperature Trajectories. HICSS 2022: 1-9
• 
  Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin Chow, Frank M. Sanfilippo, Girish Dwivedi:
  Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. CoRR abs/2202.01975 (2022)
• 2021
• 
  Dipen Deka, Bhabesh Deka:
  Stratification of High-Risk Hypertensive Patients Using Hybrid Heart Rate Variability Features and Boosting Algorithms. IEEE Access 9: 62665-62675 (2021)
• 
  Vasileios C. Pezoulas, Grigoris I. Grigoriadis, George Gkois, Nikolaos S. Tachos, Tim Smole, Zoran Bosnic, Matej Piculin, Iacopo Olivotto, Fausto Barlocco, Marko Robnik-Sikonja, Djordje G. Jakovljevic, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
  A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. Comput. Biol. Medicine 134: 104520 (2021)
• 
  Tim Smole, Bojan Zunkovic, Matej Piculin, Enja Kokalj, Marko Robnik-Sikonja, Matjaz Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popovic, Lars Maier, Lazar Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic:
  A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135: 104648 (2021)
• 
  Fantin Girard, Thomas Hurtut, Conrad Kavalec, Farida Cheriet:
  Atlas-based score for automatic glaucoma risk stratification. Comput. Medical Imaging Graph. 87: 101797 (2021)
• 
  Aida Santaolalla, Tim Hulsen, Jenson Davis, Hashim U. Ahmed, Caroline M. Moore, Shonit Punwani, Gert Attard, Neil McCartan, Mark Emberton, Anthony Coolen, Mieke Van Hemelrijck:
  The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer. Frontiers Artif. Intell. 4: 769582 (2021)
• 
  Joshua M. Inglis, Stephen Bacchi, Alexander Troelnikov, William Smith, Sepehr Shakib:
  Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing. Int. J. Medical Informatics 156: 104611 (2021)
• 
  Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh Kumar Singh, Sumit K. Banchhor:
  Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm. Int. J. Imaging Syst. Technol. 31(3): 1503-1518 (2021)
• 
  Birju S. Patel, Ethan Steinberg, Stephen R. Pfohl, Nigam H. Shah:
  Learning decision thresholds for risk stratification models from aggregate clinician behavior. J. Am. Medical Informatics Assoc. 28(10): 2258-2264 (2021)
• 
  Xiaoyun Wang, Zhao Suhong, Weihua Zhao, Xianhua Zhao:
  Shear Wave Elastography Combined with Thyroid Imaging Report and Data System for Risk Stratification of Thyroid Nodule Malignant Tumor. J. Medical Imaging Health Informatics 11(3): 863-868 (2021)
• 
  Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng:
  Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. Medical Image Anal. 69: 101955 (2021)
• 
  David A. Dorr, Rachel L. Ross, Deborah J. Cohen, Devan Kansagara, Katrina Ramsey, Bhavaya Sachdeva, Jonathan P. Weiner:
  Primary care practices' ability to predict future risk of expenditures and hospitalization using risk stratification and segmentation. BMC Medical Informatics Decis. Mak. 21(1): 104 (2021)
• 
  Hui Xiao, Shah Nazir, Han-ming Li, Habib Ullah Khan, Chengwei Li:
  Decision Support System to Risk Stratification in the Acute Coronary Syndrome Using Fuzzy Logic. Sci. Program. 2021: 6571905:1-6571905:9 (2021)
• 
  Xianlong Zeng, Simon M. Lin, Chang Liu:
  Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. BCB 2021: 17:1-17:9
• 
  Yang Guo, Yuanbo He, Shuai Li, Ting Shu, Luying Gao:
  Global Correlation and Local Geometric Information Coupled Channel Contrast Learning for Thyroid Nodule Risk Stratification. BIBM 2021: 868-875
• 
  Lucas Standaert, Thilanka Munasinghe, Dongyoung Jang, Catherine Tate, Sean Lossef, Wilson Wong:
  Covid Vaccine Risk Stratification. IEEE BigData 2021: 4421-4425
• 
  Jens Hüsers, Guido Hafer, Jan Heggemann, Stefan Wiemeyer, Swen Malte John, Ursula Hübner:
  Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers. ICIMTH 2021: 212-215
• 
  Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
  L₁-Regularized Neural Ranking for Risk Stratification and Its Application to Prediction of Time to Distant Metastasis in Luminal Node Negative Chemotherapy Naïve Breast Cancer Patients. PKDD/ECML Workshops (2) 2021: 390-400
• 
  Xianlong Zeng, Simon M. Lin, Chang Liu:
  Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis. CoRR abs/2106.12658 (2021)
• 
  Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
  L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients. CoRR abs/2108.10365 (2021)
• 2020
• 
  Thomas Houret, Philippe Besnier, Stephane Vauchamp, Philippe Pouliguen:
  Controlled Stratification Based on Kriging Surrogate Model: An Algorithm for Determining Extreme Quantiles in Electromagnetic Compatibility Risk Analysis. IEEE Access 8: 3837-3847 (2020)
• 
  Yiru Zhao, Yifan Zhou, Yuan Liu, Yinyi Hao, Menglong Li, Xuemei Pu, Chuan Li, Zhining Wen:
  Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform. BMC Bioinform. 21(1): 195 (2020)
• 
  Siva Skandha Sanagala, Suneet Kr. Gupta, Luca Saba, Vijaya Kumar Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Jasjit S. Suri:
  3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. Comput. Biol. Medicine 125: 103958 (2020)
• 
  Bradley J. Nartowt, Gregory R. Hart, Wazir Muhammad, Ying Liang, Gigi Felice Stark, Jun Deng:
  Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification. Frontiers Big Data 3: 6 (2020)
• 
  Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Raghu Kolluri, Aditya M. Sharma, Vijay Viswanathan, Andrew Nicolaides, Jasjit S. Suri:
  Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J. Medical Syst. 44(12): 208 (2020)
• 
  Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
  Non-Invasive Risk Stratification of Hypertension: A Systematic Comparison of Machine Learning Algorithms. J. Sens. Actuator Networks 9(3): 34 (2020)

skipping 106 more matches