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Public Health Genomics and Precision Health Knowledge Base (v7.9)
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Last data update: Aug 18, 2022
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Using machine learning for mortality prediction and risk stratification in atezolizumab-treated cancer patients: Integrative analysis of eight clinical trials.
Wu Yougen et al. Cancer medicine 2022
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A novel analytical framework for risk stratification of real-world data using machine learning: a small cell lung cancer (SCLC) study.
Marzano Luca et al. Clinical and translational science 2022
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Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites.
Shao Jun et al. Frontiers in bioscience (Landmark edition) 2022 27(7) 212
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A narrative review of deep learning applications in lung cancer research: from screening to prognostication.
Lee Jong Hyuk et al. Translational lung cancer research 2022 11(6) 1217-1229
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Risk factors and prognostic nomogram for patients with second primary cancers after lung cancer using classical statistics and machine learning.
Luo Lianxiang et al. Clinical and experimental medicine 2022
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Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis.
Pei Qin et al. Clinical chemistry and laboratory medicine 2022
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Semi-supervised approach to event time annotation using longitudinal electronic health records.
Liang Liang et al. Lifetime data analysis 2022
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Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.
Sasaki Yuki et al. International journal of computer assisted radiology and surgery 2022
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Machine learning-based gene alteration prediction model for primary lung cancer using cytologic images.
Ishii Shuhei et al. Cancer cytopathology 2022
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Prognostic impact of artificial intelligence-based volumetric quantification of the solid part of the tumor in clinical stage 0-I adenocarcinoma.
Kawaguchi Yohei et al. Lung cancer (Amsterdam, Netherlands) 2022 17085-90
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Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest.
Naseri Hossein et al. Scientific reports 2022 12(1) 9866
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Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations.
Lee Jong Hyuk et al. Radiology 2022 212877
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The application of artificial intelligence and radiomics in lung cancer.
Zhou Yaojie et al. Precision clinical medicine 2022 3(3) 214-227
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Machine Learning for the Prediction of Synchronous Organ-Specific Metastasis in Patients With Lung Cancer.
Gao Huan et al. Frontiers in oncology 2022 12817372
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Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.
Mishra Sashikala et al. Frontiers in public health 2022 10858282
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Development of Diagnosis Model for Early Lung Nodules Based on a Seven Autoantibodies Panel and Imaging Features.
Xu Leidi et al. Frontiers in oncology 2022 12883543
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Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.
Murchison John T et al. PloS one 2022 17(5) e0266799
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Machine learning application in personalised lung cancer recurrence and survivability prediction.
Yang Yang et al. Computational and structural biotechnology journal 2022 201811-1820
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Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
Hu Danqing et al. JMIR medical informatics 2022 10(4) e35475
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Deep Learning-based Artificial Intelligence Improves Accuracy of Error-prone Lung Nodules.
Lan Chou-Chin et al. International journal of medical sciences 2022 19(3) 490-498
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The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.
Chen Yunbing et al. Computational and mathematical methods in medicine 2022 20222864170
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Parameter tuning in machine learning based on radiomics biomarkers of lung cancer.
Yuan Luo et al. Journal of X-ray science and technology 2022
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On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.
Mohamed Sameh K et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2021853-862
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A Classifier for Improving Early Lung Cancer Diagnosis Incorporating Artificial Intelligence and Liquid Biopsy.
Ye Maosong et al. Frontiers in oncology 2022 12853801
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Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
Feng Xiu-Long et al. Lung cancer (Amsterdam, Netherlands) 2022 166150-160
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A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models.
Hindocha Sumeet et al. EBioMedicine 2022 77103911
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On the Automation of Radiomics-based Identification and Characterization of NSCLC.
D'Arnese Eleonora et al. IEEE journal of biomedical and health informatics 2022 PP
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Analysis of the Diagnosis Model of Peripheral Non-Small-Cell Lung Cancer under Computed Tomography Images.
Xie Zhonghai et al. Journal of healthcare engineering 2022 20223107965
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Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer.
Chan Lawrence Wing-Chi et al. Frontiers in oncology 2022 12659096
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Computer-aided detection of pulmonary nodules based on convolutional neural networks: a review.
Min Yuqin et al. Physics in medicine and biology 2022
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Page last reviewed:
Jul 25, 2022
Page last updated:
Aug 18, 2022
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