• 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 176 matches

• 2023
• 
  Cui Zhang, Jian Wang, Yang Yang, Bailing Dai, Zhihua Xu, Fangmei Zhu, Huajun Yu:
  Machine learning for predicting the risk stratification of 1-5 cm gastric gastrointestinal stromal tumors based on CT. BMC Medical Imaging 23(1): 90 (2023)
• 
  Shan Zhou, Yuyang Guo, Lieming Wen, Jieyu Liu, Yaqian Fu, Fang Xu, Minghui Liu, Baihua Zhao:
  Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors' subjective judgment. BMC Medical Imaging 23(1): 190 (2023)
• 
  Wei Hu, Tingting Jin, Ziqi Pan, Huimin Xu, Lingyan Yu, Tingting Chen, Wei Zhang, Huifang Jiang, Wenjun Yang, Junjun Xu, Feng Zhu, Haibin Dai:
  An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in intensive care unit: Development and external validation of ICU-ISPM. Comput. Biol. Medicine 166: 107577 (2023)
• 
  Peng-Fei Xu, Cong Li, Yin-Sheng Chen, De-Pei Li, Shaoyan Xi, Fu-Rong Chen, Xin Li, Zhong-Ping Chen:
  Radiomics-based survival risk stratification of glioblastoma is associated with different genome alteration. Comput. Biol. Medicine 159: 106878 (2023)
• 
  Bernard Hernandez, Oliver Stiff, Damien K. Ming, Ho Q. Chanh, Nguyen L. Vuong, Nguyen M. Tuan, Chau Nguyen Van Vinh, Nguyet Minh Nguyen, Huy Nguyen Quang, Lam Phung Khanh, Dong Thi Hoai Tam, Trung Dinh The, Trung-Truc Huynh-Le, Bridget Wills, Cameron P. Simmons, Alison H. Holmes, Sophie Yacoub, Pantelis Georgiou:
  Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness. Frontiers Digit. Health 5 (2023)
• 
  Rasheed Omobolaji Alabi, Anni Sjöblom, Timo Carpén, Mohammed S. Elmusrati, Ilmo Leivo, Alhadi Almangush, Antti A. Mäkitie:
  Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL. Int. J. Medical Informatics 175: 105064 (2023)
• 
  Haiyan Yu, Xiaolong Zuo, Jinxiang Tang, Yixiao Fu:
  Identifying causal effects of the clinical sentiment of patients' nursing notes on anticipated fall risk stratification. Inf. Process. Manag. 60(6): 103481 (2023)
• 
  Satvik Dasariraju, Loren Gragert, Grace L. Wager, Keith McCullough, Nicholas K. Brown, Malek Kamoun, Ryan J. Urbanowicz:
  HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm. J. Biomed. Informatics 142: 104374 (2023)
• 
  Yu-Hsuan Jamie Chen, Chin-Sheng Lin, Chin Lin, Dung-Jang Tsai, Wen-Hui Fang, Chia-Cheng Lee, Chih-Hung Wang, Sy-Jou Chen:
  An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration. J. Medical Syst. 47(1): 81 (2023)
• 
  Jinhu Zhuang, Haofan Huang, Song Jiang, Jianwen Liang, Yong Liu, Xiaxia Yu:
  A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit. BMC Medical Informatics Decis. Mak. 23(1): 185 (2023)
• 
  Georgia D. Liapi, Christos Markides, Christos P. Loizou, Maura Griffin, Andrew Nicolaides, Efthyvoulos Kyriacou:
  Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images. CAIP (2) 2023: 130-139
• 
  Ryan J. Urbanowicz, Harsh Bandhey, Malek Kamoun, Nolan Fogarty, Yi-An Hsieh:
  Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses. GECCO Companion 2023: 1846-1854
• 
  Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie:
  Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. ICCS (3) 2023: 153-161
• 
  Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya:
  SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. PRIME@MICCAI 2023: 46-57
• 
  Julian Burghoff, Leonhard Ackermann, Younes Salahdine, Veronika Bram, Katharina Wunderlich, Julius Balkenhol, Thomas Dirschka, Hanno Gottschalk:
  Risk stratification of malignant melanoma using neural networks. CoRR abs/2306.06195 (2023)
• 
  Erkin Ötles, Brian T. Denton, Jenna Wiens:
  Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance. CoRR abs/2308.05619 (2023)
• 
  Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
  Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR abs/2309.00330 (2023)
• 2022
• 
  Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad:
  Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. IEEE Access 10: 52418-52430 (2022)
• 
  Jian Ruan, Shuaishuai Xu, Ruyin Chen, Wenxin Qu, Qiong Li, Chanqi Ye, Wei Wu, Qi Jiang, Feifei Yan, Enhui Shen, Qinjie Chu, Yunlu Jia, Xiaochen Zhang, Wenguang Fu, Jinzhang Chen, Michael P. Timko, Peng Zhao, Longjiang Fan, Yifei Shen:
  EMLI-ICC: an ensemble machine learning-based integration algorithm for metastasis prediction and risk stratification in intrahepatic cholangiocarcinoma. Briefings Bioinform. 23(6) (2022)
• 
  Bilin Liang, Haifan Gong, Lu Lu, Jie Xu:
  Risk stratification and pathway analysis based on graph neural network and interpretable algorithm. BMC Bioinform. 23(1): 394 (2022)
• 
  Stephan Rheinheimer, Petros Christopoulos, Stella Erdmann, Julia Saupe, Heiko Golpon, Jens Vogel-Claussen, Julien Dinkel, Michael Thomas, Claus Peter Heussel, Hans-Ulrich Kauczor, Gudula Heussel:
  Dynamic contrast enhanced MRI of pulmonary adenocarcinomas for early risk stratification: higher contrast uptake associated with response and better prognosis. BMC Medical Imaging 22(1): 215 (2022)
• 
  Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. 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. Comput. Biol. Medicine 150: 106126 (2022)
• 
  Kalyani Marathe, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu:
  Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146: 105504 (2022)
• 
  Dikshant Sagar, Priya Aggarwal, Akanksha Farswan, Ritu Gupta, Anubha Gupta:
  GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients. Comput. Biol. Medicine 149: 106048 (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)
• 
  Caixia Sun, Bingbing Li, Genxia Wei, Weihao Qiu, Danyi Li, Xiangzhao Li, Xiangyu Liu, Wei Wei, Shuo Wang, Zhenyu Liu, Jie Tian, Li Liang:
  Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer. Comput. Methods Programs Biomed. 221: 106914 (2022)
• 
  Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed S. Elmusrati, Ilmo Leivo, Antti A. Mäkitie:
  An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer. Int. J. Medical Informatics 168: 104896 (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)
• 
  Jenny Yang, David A. Clifton, Jane E. Hirst, Foteini K. Kavvoura, George Farah, Lucy Mackillop, Huiqi Lu:
  Machine Learning-Based Risk Stratification for Gestational Diabetes Management. Sensors 22(13): 4805 (2022)

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