Artículos de revistas sobre el tema "ML prognostic model"
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Uneno, Yu, Tadayuki Kou, Masashi Kanai, et al. "Prognostic model for survival in patients with advanced pancreatic cancer receiving palliative chemotherapy." Journal of Clinical Oncology 33, no. 3_suppl (2015): 248. http://dx.doi.org/10.1200/jco.2015.33.3_suppl.248.
Texto completoMartínez-Blanco, Pablo, Miguel Suárez, Sergio Gil-Rojas, et al. "Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence." Diagnostics 14, no. 4 (2024): 406. http://dx.doi.org/10.3390/diagnostics14040406.
Texto completoShen, Ziyuan, Shuo Zhang, Yaxue Jiao, et al. "LASSO Model Better Predicted the Prognosis of DLBCL than Random Forest Model: A Retrospective Multicenter Analysis of HHLWG." Journal of Oncology 2022 (September 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/1618272.
Texto completoCritelli, Brian, Amier Hassan, Ila Lahooti, et al. "A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality." PLOS Medicine 22, no. 2 (2025): e1004432. https://doi.org/10.1371/journal.pmed.1004432.
Texto completoMirza, Zeenat, Md Shahid Ansari, Md Shahid Iqbal, et al. "Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using Artificial Intelligence and Machine Learning Assisted Transcriptomics Analysis." Cancers 15, no. 12 (2023): 3237. http://dx.doi.org/10.3390/cancers15123237.
Texto completoQin, Yuchao, Ahmed Alaa, Andres Floto, and Mihaela van der Schaar. "External validity of machine learning-based prognostic scores for cystic fibrosis: A retrospective study using the UK and Canadian registries." PLOS Digital Health 2, no. 1 (2023): e0000179. http://dx.doi.org/10.1371/journal.pdig.0000179.
Texto completoHill, Holly A., Preetesh Jain, Michael L. Wang, and Ken Chen. "Abstract 5377: An integrative prognostic machine learning model in mantle cell lymphoma." Cancer Research 83, no. 7_Supplement (2023): 5377. http://dx.doi.org/10.1158/1538-7445.am2023-5377.
Texto completoFilipow, Nicole, Eleanor Main, Neil J. Sebire, et al. "Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review." BMJ Open Respiratory Research 9, no. 1 (2022): e001165. http://dx.doi.org/10.1136/bmjresp-2021-001165.
Texto completoPark, Hyung Soon, Ji Soo Park, Yun Ho Roh, Jieun Moon, Dong Sup Yoon, and Hei-Cheul Jeung. "Prognostic factors and scoring model for survival in advanced biliary tract cancer." Journal of Clinical Oncology 35, no. 4_suppl (2017): 264. http://dx.doi.org/10.1200/jco.2017.35.4_suppl.264.
Texto completoSUKHOPAROVA, E. P., I. E. KHRUSTALYOVA, E. V. ZINOVIEV, and E. S. KNYAZEVA. "A MODEL FOR ASSESSING THE RISK OF A DELAYED WOUND HEALING IN OBESE PATIENTS." AVICENNA BULLETIN 25, no. 1 (2023): 36–45. http://dx.doi.org/10.25005/2074-0581-2023-25-1-36-46.
Texto completoAlshwayyat, Sakhr Abdulsalam, Abdalwahab Alenezy, Mustafa Alshwayyat, and Tala Abdulsalam Alshwayyat. "Laryngeal squamous cell carcinoma (LSCC) prognosis and machine learning insights." Journal of Clinical Oncology 42, no. 16_suppl (2024): e18058-e18058. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e18058.
Texto completoNadali, Gianpaolo, Luisa Tavecchia, Elisabetta Zanolin, et al. "Serum Level of the Soluble Form of the CD30 Molecule Identifies Patients With Hodgkin's Disease at High Risk of Unfavorable Outcome." Blood 91, no. 8 (1998): 3011–16. http://dx.doi.org/10.1182/blood.v91.8.3011.3011_3011_3016.
Texto completoLi, Jiancheng, and Houjun Jia. "Serum IL-17A as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: Development and Validation of a Multi-Indicator Model." Research in Health Science 10, no. 2 (2025): p84. https://doi.org/10.22158/rhs.v10n2p84.
Texto completoSu, T., H. Wu, L. Wu, M. Zhi, and J. Yao. "P0877 Machine Learning and Mendelian Randomization Analysis for Predicting Endoscopic Restenosis in Patients with Crohn's Disease after Endoscopic Balloon Dilation." Journal of Crohn's and Colitis 19, Supplement_1 (2025): i1671—i1672. https://doi.org/10.1093/ecco-jcc/jjae190.1051.
Texto completoBel’skaya, L. V., and V. K. Kosenok. "A new field of application of saliva tests for prognostic purpose: focus on lung cancer." Biomedical Chemistry: Research and Methods 3, no. 3 (2020): e00133. http://dx.doi.org/10.18097/bmcrm00133.
Texto completoFerroni, Patrizia, Fabio Zanzotto, Silvia Riondino, Noemi Scarpato, Fiorella Guadagni, and Mario Roselli. "Breast Cancer Prognosis Using a Machine Learning Approach." Cancers 11, no. 3 (2019): 328. http://dx.doi.org/10.3390/cancers11030328.
Texto completoDzis, Ivan, Oleksandra Tomashevska, Yevhen Dzis, and Zoryana Korytko. "Prediction of survival in non-Hodgkin lymphoma based on markers of systemic inflammation, anemia, hypercoagulability, dyslipidemia, and Eastern Cooperative Oncology Group performance status." Acta Haematologica Polonica 51, no. 1 (2020): 34–41. http://dx.doi.org/10.2478/ahp-2020-0008.
Texto completoYagin, Fatma Hilal, Ahmadreza Shateri, Hamid Nasiri, Burak Yagin, Cemil Colak, and Abdullah F. Alghannam. "Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome." PeerJ Computer Science 10 (March 20, 2024): e1857. http://dx.doi.org/10.7717/peerj-cs.1857.
Texto completoHulsbergen, Alexander, Yu Tung Lo, Vasileios Kavouridis, et al. "SURG-02. SURVIVAL PREDICTION AFTER NEUROSURGICAL RESECTION OF BRAIN METASTASES: A MACHINE LEARNING APPROACH." Neuro-Oncology 22, Supplement_2 (2020): ii203. http://dx.doi.org/10.1093/neuonc/noaa215.849.
Texto completoHandayani, Lilies, Denis Chegodaev, Ray Steven, and Kenji Satou. "Identification of Key Genes Associated with Overall Survival in Glioblastoma Multiforme Using TCGA RNA-Seq Expression Data." Genes 16, no. 7 (2025): 755. https://doi.org/10.3390/genes16070755.
Texto completoAljawabrah, Salsabeel, Sakhr Alshwayyat, Kholoud Alqasem, et al. "Identifying key prognostic indicators in Wilms tumor using machine learning techniques." Journal of Clinical Oncology 43, no. 16_suppl (2025): 4557. https://doi.org/10.1200/jco.2025.43.16_suppl.4557.
Texto completoMuscas, Giovanni, Tommaso Matteuzzi, Eleonora Becattini, et al. "Development of machine learning models to prognosticate chronic shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage." Acta Neurochirurgica 162, no. 12 (2020): 3093–105. http://dx.doi.org/10.1007/s00701-020-04484-6.
Texto completoSetiawan, Rinaldy T., Eko Prasetyo, Maximillian Ch Oley, and Fredrik G. Langi. "Relationship between Serum Fibronectin and Level of Consciousness according to FOUR Score in Traumatic Brain Injury Patients." e-CliniC 10, no. 2 (2022): 160. http://dx.doi.org/10.35790/ecl.v10i2.39165.
Texto completoKumar, Shaji, Angela Dispenzieri, Martha Q. Lacy, et al. "Revised Prognostic Staging System for Light Chain Amyloidosis Incorporating Cardiac Biomarkers and Serum Free Light Chain Measurements." Journal of Clinical Oncology 30, no. 9 (2012): 989–95. http://dx.doi.org/10.1200/jco.2011.38.5724.
Texto completoPanda, Nihar Ranjan, Kamal Lochan Mahanta, Jitendra kumar Pati, Soumya Subhashree Satapathy, and Ruchi Bhuyan. "Development of prognostic model and multivariate analysis for breast cancer survival patients using SEER database." Journal of Associated Medical Sciences 57, no. 1 (2024): 67–76. http://dx.doi.org/10.12982/jams.2024.008.
Texto completoLin, Weiyuan, Lifeng Que, Guisen Lin, et al. "Using Machine Learning to Predict Five-Year Reintervention Risk in Type B Aortic Dissection Patients After Thoracic Endovascular Aortic Repair." Journal of Medical Imaging and Health Informatics 11, no. 6 (2021): 1560–67. http://dx.doi.org/10.1166/jmihi.2021.3813.
Texto completoAhmed, Nagwa Ramadan, Ahmed Nabil EL-Mazny, Sarah Ahmed Hassan, and Laila Ahmed Rashed. "Prognostic value of serum autotaxin in liver cirrhosis and prediction of hepatocellular carcinoma." Egyptian Journal of Internal Medicine 31, no. 4 (2019): 849–55. http://dx.doi.org/10.4103/ejim.ejim_63_19.
Texto completoKapoor, Ankita, Sahithi Sonti, Riya Jayesh Patel, et al. "Agrin as a prognostic biomarker in hepatocellular carcinoma." Journal of Clinical Oncology 42, no. 3_suppl (2024): 559. http://dx.doi.org/10.1200/jco.2024.42.3_suppl.559.
Texto completoXie, Hailun, Lishuang Wei, Qiwen Wang, Shuangyi Tang, and Jialiang Gan. "Grading carcinoembryonic antigen levels can enhance the effectiveness of prognostic stratification in patients with colorectal cancer: a single-centre retrospective study." BMJ Open 14, no. 10 (2024): e084219. http://dx.doi.org/10.1136/bmjopen-2024-084219.
Texto completoWang, Xin, Yilun Han, Wei Xue, Guangwen Yang, and Guang J. Zhang. "Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes." Geoscientific Model Development 15, no. 9 (2022): 3923–40. http://dx.doi.org/10.5194/gmd-15-3923-2022.
Texto completoBezgin, Tahir, Aziz İnan Çelik, Ali Karagöz, et al. "Prognostic Impact of Modified Glasgow Prognostic Score in Patients with Heart Failure with Mildly Reduced Ejection Fraction." Koşuyolu Heart Journal 25, no. 1 (2022): 6–13. http://dx.doi.org/10.51645/khj.2022.m221.
Texto completoKneev, A. Y., M. I. Shkol’nik, O. A. Bogomolov, and G. M. Zharinov. "Prostate specif c antigen density as a prognostic factor in patients with prostate cancer treated with combined hormonal radiation therapy." Siberian journal of oncology 21, no. 3 (2022): 12–23. http://dx.doi.org/10.21294/1814-4861-2022-21-3-12-23.
Texto completoDou, Guanhua, Dongkai Shan, Kai Wang, et al. "Integrating Coronary Plaque Information from CCTA by ML Predicts MACE in Patients with Suspected CAD." Journal of Personalized Medicine 12, no. 4 (2022): 596. http://dx.doi.org/10.3390/jpm12040596.
Texto completoShin, Kabsoo, Joori Kim, Juyeon Park, Ok Ran Kim, Nahyeon Kang, and In-Ho Kim. "Prognostic significance of exosomal programmed death-ligand 1 in advanced gastric cancer patients treated with first-line chemotherapy." Journal of Clinical Oncology 40, no. 4_suppl (2022): 665. http://dx.doi.org/10.1200/jco.2022.40.4_suppl.665.
Texto completoPhilip, Mahima Merin, Jessica Watts, Fergus McKiddie, Andy Welch, and Mintu Nath. "Development and Validation of Prognostic Models Using Radiomic Features from Pre-Treatment Positron Emission Tomography (PET) Images in Head and Neck Squamous Cell Carcinoma (HNSCC) Patients." Cancers 16, no. 12 (2024): 2195. http://dx.doi.org/10.3390/cancers16122195.
Texto completoYao, Mylene W. M., Julian Jenkins, Elizabeth T. Nguyen, Trevor Swanson, and Marco Menabrito. "Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist." Seminars in Reproductive Medicine, October 8, 2024. http://dx.doi.org/10.1055/s-0044-1791536.
Texto completoYang, Li-Rong, Zhu-Ying Lin, Qing-Gang Hao, et al. "The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients." Cancer Cell International 22, no. 1 (2022). http://dx.doi.org/10.1186/s12935-021-02428-3.
Texto completoShen, Jie, Yu Zhou, Junpeng Pei, Dashuai Yang, Kailiang Zhao, and Youming Ding. "Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms." Frontiers in Medicine 11 (September 27, 2024). http://dx.doi.org/10.3389/fmed.2024.1452188.
Texto completoLiu, Bin, Xiang-Yang Liu, Guo-Ping Wang, and Yi-Xin Chen. "The immune cell infiltration-associated molecular subtypes and gene signature predict prognosis for osteosarcoma patients." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-55890-0.
Texto completoShen, Jie, Dashuai Yang, Yu Zhou, et al. "Development of machine learning models for patients in the high intrahepatic cholangiocarcinoma incidence age group." BMC Geriatrics 24, no. 1 (2024). http://dx.doi.org/10.1186/s12877-024-05154-3.
Texto completoZeng, Minyan, Lauren Oakden-Rayner, Alix Bird, et al. "Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis." Frontiers in Neurology 13 (September 8, 2022). http://dx.doi.org/10.3389/fneur.2022.945813.
Texto completoTeng, Buwei, Xiaofeng Zhang, Mingshu Ge, Miao Miao, Wei Li, and Jun Ma. "Personalized three-year survival prediction and prognosis forecast by interpretable machine learning for pancreatic cancer patients: a population-based study and an external validation." Frontiers in Oncology 14 (October 21, 2024). http://dx.doi.org/10.3389/fonc.2024.1488118.
Texto completoGuo, Kun, Bo Zhu, Lei Zha, et al. "Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression." Frontiers in Neurology 16 (March 4, 2025). https://doi.org/10.3389/fneur.2025.1522868.
Texto completoKinoshita, Yoshiaki, Takato Ikeda, Takuto Miyamura, et al. "A proposed prognostic prediction score for pleuroparenchymal fibroelastosis." Respiratory Research 22, no. 1 (2021). http://dx.doi.org/10.1186/s12931-021-01810-z.
Texto completoFang, Yutong, Rongji Zheng, Yefeng Xiao, Qunchen Zhang, Junpeng Liu, and Jundong Wu. "Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine." Frontiers in Immunology 16 (May 27, 2025). https://doi.org/10.3389/fimmu.2025.1581982.
Texto completoWang, Cong, Hongwei Li, Hongye Yang, and Yingwei Xue. "Machine learning-based prediction of five-year all-cause mortality in patients with mixed gastric cancer." Holistic Integrative Oncology 4, no. 1 (2025). https://doi.org/10.1007/s44178-025-00159-3.
Texto completoWang, Jing, Kai Wang, Kangjie Wang, et al. "A machine learning-based prognostic stratification of locoregional interventional therapies for patients with colorectal cancer liver metastases: a real-world study." Therapeutic Advances in Medical Oncology 17 (June 2025). https://doi.org/10.1177/17588359251353084.
Texto completoWang, Kai, Tao Hong, Wencai Liu, et al. "Development and validation of a machine learning-based prognostic risk stratification model for acute ischemic stroke." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-40411-2.
Texto completoFan, Kaiting, Wenya Cao, Hong Chang, and Fei Tian. "Predicting prognosis in patients with stroke treated with intravenous alteplase through blood pressure changes: A machine learning‐based approach." Journal of Clinical Hypertension, October 16, 2023. http://dx.doi.org/10.1111/jch.14732.
Texto completoHill, Holly Ann, Preetesh Jain, Chi Young Ok, et al. "Integrative Prognostic Machine-Learning Models in Mantle Cell Lymphoma." Cancer Research Communications, July 11, 2023. http://dx.doi.org/10.1158/2767-9764.crc-23-0083.
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