104 related articles for article (PubMed ID: 38832344)
1. Machine Learning for Prediction of Non-Small Cell Lung Cancer Based on Inflammatory and Nutritional Indicators in Adults: A Cross-Sectional Study.
Wang Q; Liang T; Li Y; Liu X
Cancer Manag Res; 2024; 16():527-535. PubMed ID: 38832344
[TBL] [Abstract][Full Text] [Related]
2. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
[TBL] [Abstract][Full Text] [Related]
3. The value of red blood cell distribution width, neutrophil-to-lymphocyte ratio, and hemoglobin-to-red blood cell distribution width ratio in the progression of non-small cell lung cancer.
Chen JL; Wu JN; Lv XD; Yang QC; Chen JR; Zhang DM
PLoS One; 2020; 15(8):e0237947. PubMed ID: 32833961
[TBL] [Abstract][Full Text] [Related]
4. Characterization of blood inflammatory markers in patients with non-small cell lung cancer.
Zhai Y; Wu J; Tang C; Huang B; Bi Q; Luo S
Int J Clin Exp Pathol; 2024; 17(5):165-172. PubMed ID: 38859920
[TBL] [Abstract][Full Text] [Related]
5. Correlation of immune inflammatory indices and nutritional risk index with prognosis in patients with non-small cell lung cancer.
Shi Z; Zheng D; Tang X; Du Y
Am J Transl Res; 2023; 15(6):4100-4109. PubMed ID: 37434819
[TBL] [Abstract][Full Text] [Related]
6. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
[TBL] [Abstract][Full Text] [Related]
7. Prognostic significance of combined preoperative platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio in patients undergoing surgery with stage IB non-small-cell lung cancer.
Chen Y; Wang W; Zhang X; Yu X; Xi K; Wen Y; Wang G; Feng X; Zhang L
Cancer Manag Res; 2018; 10():5411-5422. PubMed ID: 30519089
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic value of preoperative inflammatory markers in patients with glioma: a multicenter cohort study.
Zheng SH; Huang JL; Chen M; Wang BL; Ou QS; Huang SY
J Neurosurg; 2018 Sep; 129(3):583-592. PubMed ID: 29099300
[TBL] [Abstract][Full Text] [Related]
9. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
10. Identification of non-small cell lung cancer with chronic obstructive pulmonary disease using clinical symptoms and routine examination: a retrospective study.
Zhuan B; Ma HH; Zhang BC; Li P; Wang X; Yuan Q; Yang Z; Xie J
Front Oncol; 2023; 13():1158948. PubMed ID: 37576878
[TBL] [Abstract][Full Text] [Related]
11. Clinical application of common inflammatory and nutritional indicators before treatment in prognosis evaluation of non-small cell lung cancer: a retrospective real-world study.
Lv X; Xu B; Zou Q; Han S; Feng Y
Front Med (Lausanne); 2023; 10():1183886. PubMed ID: 37521341
[TBL] [Abstract][Full Text] [Related]
12. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
[TBL] [Abstract][Full Text] [Related]
13. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
[TBL] [Abstract][Full Text] [Related]
14. A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.
Hyun SH; Ahn MS; Koh YW; Lee SJ
Clin Nucl Med; 2019 Dec; 44(12):956-960. PubMed ID: 31689276
[TBL] [Abstract][Full Text] [Related]
15. Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics.
Zhang Y; Liu H; Chang C; Yin Y; Wang R
PLoS One; 2024; 19(4):e0300170. PubMed ID: 38568892
[TBL] [Abstract][Full Text] [Related]
16. Inflammation-based prognostic scoring system for predicting the prognosis of advanced small cell lung cancer patients receiving anlotinib monotherapy.
Chen T; Tang M; Xu X; Liang G; Xiang Z; Lu Y; Wang C; Shen W
J Clin Lab Anal; 2022 Dec; 36(12):e24772. PubMed ID: 36441595
[TBL] [Abstract][Full Text] [Related]
17. [Correlation between neutrophil/lymphocyte ratio combined with low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio and severity of coronary artery disease in patients with acute coronary syndrome].
Yuan S; Pu T; Wang Z; Li L; Gao P; Zhang L; Ma Y; Qi Q; Fan X
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Mar; 34(3):274-279. PubMed ID: 35574745
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
19. Novel nutritional indicator as predictors among subtypes of lung cancer in diagnosis.
Li H; Cheng ZJ; Liang Z; Liu M; Liu L; Song Z; Xie C; Liu J; Sun B
Front Nutr; 2023; 10():1042047. PubMed ID: 36776604
[TBL] [Abstract][Full Text] [Related]
20. Pre-treatment
Ahn HK; Lee H; Kim SG; Hyun SH
Clin Radiol; 2019 Jun; 74(6):467-473. PubMed ID: 30898382
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]