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The genetic algorithm-aided three-stage ensemble learning method identified a robust survival risk score in patients with glioma.

• Authors : Zhu S; Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.; Kong W

Subjects: Glioma*/Glioma*/Glioma*/genetics ; Machine Learning*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Towards a Survival Risk Prediction Model for Metastatic NSCLC Patients on Durvalumab Using Whole-Lung CT Radiomics

• Authors : Kedar Patwardhan; Harish RaviPrakash; Nikos Nikolaou

Subjects: Male; Lung Neoplasms; Immunology

• Source: Front ImmunolFrontiers in Immunology, Vol 15 (2024)

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Architecting the metabolic reprogramming survival risk framework in LUAD through single-cell landscape analysis: three-stage ensemble learning with genetic algorithm optimization.

• Authors : Sun, Xinti¹ (AUTHOR); Nong, Minyu² (AUTHOR); Meng, Fei¹ (AUTHOR)

• Source: Journal of Translational Medicine. 4/15/2024, Vol. 22 Issue 1, p1-24. 24p.

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Development and validation of a machine learning model for survival risk stratification after esophageal cancer surgery

• Authors : Jinye Xu; Jianghui Zhou; Junxi Hu

Subjects: surgery; survival risk stratification; 03 medical and health sciences

• Source: Front OncolFrontiers in Oncology, Vol 12 (2022)

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Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients.

• Authors : Farzana, Walia¹ (AUTHOR) ; Basree, Mustafa M.² (AUTHOR) ; Diawara, Norou³ (AUTHOR)

• Source: Cancers. Sep2023, Vol. 15 Issue 18, p4636. 25p.

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Survival Risk Prediction of Esophageal Cancer Based on the Kohonen Network Clustering Algorithm and Kernel Extreme Learning Machine.

• Authors : Wang, Yanfeng¹ (AUTHOR) ; Wang, Haohao¹ (AUTHOR) ; Li, Sanyi¹ (AUTHOR)

• Source: Mathematics (2227-7390). May2022, Vol. 10 Issue 9, p1367-1367. 20p.

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Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM.

• Authors : Wang, Yanfeng¹ (AUTHOR); Zhang, Wenhao¹ (AUTHOR); Sun, Junwei¹ (AUTHOR)

• Source: Computational Intelligence & Neuroscience. 7/6/2022, p1-12. 12p.

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Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL

• Authors : Alabi, Rasheed Omobolaji; Sjöblom, Anni; Carpén, Timo ...

Subjects: Computer and information sciences; Carcinoma; Reproducibility of Results

• Source: International Journal of Medical Informatics. 175:105064

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Development of a Machine Learning Model for Survival Risk Stratification of Patients With Advanced Oral Cancer

• Authors : Hsin-Yao Wang; Yi Ju Tseng; Chia-Hsun Hsieh

Subjects: Adult; Male; Chemoradiotherapy, Adjuvant

• Source: JAMA Netw Open

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Table_1_Development and validation of a machine learning model for survival risk stratification after esophageal cancer surgery.xlsx

• Authors : Jinye Xu (14239376); Jianghui Zhou (14239379); Junxi Hu (12227369)

Subjects: Cancer; Cancer Cell Biology; Cancer Diagnosis

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