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Publication search results
found 29 matches
- 2022
- Marcia Lourenco Baptista
, Kai Goebel
, Elsa M. P. Henriques:
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values. Artif. Intell. 306: 103667 (2022) - Sylvia P. Snoeck-Krygsman
, Frederieke G. Schaafsma, Birgit H. P. M. Donker-Cools, Carel T. J. Hulshof, Lyanne P. Jansen, René J. Kox, Jan L. Hoving:
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey. BMC Medical Informatics Decis. Mak. 22(1): 25 (2022) - 2021
- Fanyueyang Zhang, Xunbo Zhang, Zirui Tang, Xianhua Song:
Evaluation and Prognostics of the Higher Education Based on Neural Network and AHP-PLS Structural Equations. ICPCSEE (2) 2021: 475-490 - 2020
- Weijie Kang
, Jiyang Xiao, Mingqing Xiao, Yangguang Hu
, Haizhen Zhu, Jianfeng Li
:
Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method. IEEE Access 8: 71965-71973 (2020) - Enrico Longato, Martina Vettoretti
, Barbara Di Camillo
:
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models. J. Biomed. Informatics 108: 103496 (2020) - Jeba Afifa Zinia, Md. Shahedur Rahman:
Evaluation of the prognostic significance of CDK6 in breast cancer. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 40 (2020) - Farzin Negahbani, Rasool Sabzi, Bita Pakniyat Jahromi, Fatemeh Movahedi, Mahsa Kohandel Shirazi, Shayan Majidi, Dena Firouzabadi, Amirreza Dehganian:
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline. CoRR abs/2010.04713 (2020) - 2019
- J. Raja
, K. Gunasekaran, R. Pitchai:
Prognostic evaluation of multimodal biometric traits recognition based human face, finger print and iris images using ensembled SVM classifier. Clust. Comput. 22(Suppl 1): 215-228 (2019) - Salma Harrath, Jaouher Ben Ali, Taoufik Zouaghi, Noureddine Zerhouni:
A New Adaptive Prognostic Strategy Based on Online Future Evaluation and Extended Kalman Filtering. CoDIT 2019: 2033-2038 - 2018
- Gurudeeban Selvaraj
, Satyavani Kaliamurthi
, Aman Chandra Kaushik, Abbas Khan, Yong-Kai Wei, William C. S. Cho, Keren Gu, Dong-Qing Wei
:
Identification of target gene and prognostic evaluation for lung adenocarcinoma using gene expression meta-analysis, network analysis and neural network algorithms. J. Biomed. Informatics 86: 120-134 (2018) - 2017
- Lobna Belkacem, Zineb Simeu-Abazi
, Hedi Dhouibi, Eric Gascard, Hassani Messaoud:
Diagnostic and prognostic of hybrid dynamic systems: Modeling and RUL evaluation for two maintenance policies. Reliab. Eng. Syst. Saf. 164: 98-109 (2017) - Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Medical Imaging: Computer-Aided Diagnosis 2017: 1013449 - Kedun Mao, Yongxin Zhu, Zhixiong Chen, Xiang Tao, Qixuan Xue, Han Wu, Yishu Mao, Junjie Hou:
A Visual Model-Based Evaluation Framework of Cloud-Based Prognostics and Health Management. SmartCloud 2017: 33-40 - 2016
- James Kuria Kimotho:
Development and performance evaluation of prognostic approaches for technical systems. University of Paderborn, Germany, 2016 - 2015
- Nicola Dinapoli
, Anna Rita Alitto
, Mauro Vallati
, Roberto Gatta
, Rosa Autorino, Luca Boldrini
, Andrea Damiani
, Vincenzo Valentini
:
Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features. EMBC 2015: 771-774 - Surajit Roy, Gerges Dib, Pradeep Ramuhalli
, Evelyn H. Hirt, Matthew S. Prowant, Lorenzo Luzi, Allan F. Pardini, Stan G. Pitman:
Progress towards prognostic health management of passive components in advanced reactors - Model selection and evaluation. ICPHM 2015: 1-8 - 2013
- Yan Chen, Feibai Zhu, Jay Lee:
Data quality evaluation and improvement for prognostic modeling using visual assessment based data partitioning method. Comput. Ind. 64(3): 214-225 (2013) - Fatih Camci, Kamal Medjaher, Noureddine Zerhouni, Patrick Nectoux:
Feature Evaluation for Effective Bearing Prognostics. Qual. Reliab. Eng. Int. 29(4): 477-486 (2013) - Sayyed Mostafa Mostafavi, Janice I. Glasgow, Sean P. Dukelow
, Stephen H. Scott, Parvin Mousavi
:
Prediction of stroke-related diagnostic and prognostic measures using robot-based evaluation. ICORR 2013: 1-6 - 2010
- Birte Hellwig, Jan G. Hengstler
, Marcus Schmidt, Mathias C. Gehrmann, Wiebke Schormann, Jörg Rahnenführer
:
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes. BMC Bioinform. 11: 276 (2010) - 2009
- Cesar Souza, Ednaldo Pizzolato, Renata Gonçalves Mendes
, Audrey Borghi-Silva, Mauricio Machado
, Paulo Correa:
Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent to Coronary Artery Bypass Graft Surgery. ICMLA 2009: 799-803 - 2007
- Qianfei Yuan, Congzhong Cai, Hanguang Xiao, Xinghua Liu, Yufeng Wen:
Diagnosis of Breast Tumours and Evaluation of Prognostic Risk by Using Machine Learning Approaches. ICIC (3) 2007: 1250-1260 - Chunsheng Yang, Sylvain Létourneau:
Model evaluation for prognostics: estimating cost saving for the end users. ICMLA 2007: 304-309 - 2003
- Marko Robnik-Sikonja
, David Cukjati, Igor Kononenko:
Comprehensible evaluation of prognostic factors and prediction of wound healing. Artif. Intell. Medicine 29(1-2): 25-38 (2003) - 2001
- Marko Robnik-Sikonja, David Cukjati, Igor Kononenko:
Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. AIME 2001: 77-87 - Huseyin Seker, Michael O. Odetayo, Dobrila Petrovic, Raouf N. Gorgui-Naguib, Freddie C. Hamdy:
Statistical and soft feature evaluation indices for prostate cancer prognostic factor assessment. EUSFLAT Conf. 2001: 26-29 - 1999
- Sarabjot S. Anand, Ann E. Smith, P. W. Hamilton, J. S. Anand, John G. Hughes, P. H. Bartels:
An evaluation of intelligent prognostic systems for colorectal cancer. Artif. Intell. Medicine 15(2): 193-214 (1999) - 1995
- F. Fiocchi, A. Gamba, Rita Pizzi
, F. Sicurello:
A Neural Support to the Prognostic Evaluation of Cardiac Surgery. AIME 1995: 435-436 - 1974
- Ladislav Tondl:
Semantic evaluation of prognostic statements on the base of probabilistic parameters. Kybernetika 10(3): 199-220 (1974)
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