176 related articles for article (PubMed ID: 38270703)
1. Prediction of positive pulmonary nodules based on machine learning algorithm combined with central carbon metabolism data.
Liu JJ; Shen WB; Qin QR; Li JW; Li X; Liu MY; Hu WL; Wu YY; Huang F
J Cancer Res Clin Oncol; 2024 Jan; 150(2):33. PubMed ID: 38270703
[TBL] [Abstract][Full Text] [Related]
2. Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Meng L; Zhu P; Xia K
Front Public Health; 2024; 12():1368217. PubMed ID: 38645446
[TBL] [Abstract][Full Text] [Related]
3. Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches.
Warkentin MT; Al-Sawaihey H; Lam S; Liu G; Diergaarde B; Yuan JM; Wilson DO; Atkar-Khattra S; Grant B; Brhane Y; Khodayari-Moez E; Murison KR; Tammemagi MC; Campbell KR; Hung RJ
Thorax; 2024 Mar; 79(4):307-315. PubMed ID: 38195644
[TBL] [Abstract][Full Text] [Related]
4. Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.
Li W; Hong T; Fang J; Liu W; Liu Y; He C; Li X; Xu C; Wang B; Chen Y; Sun C; Li W; Kang W; Yin C
Front Oncol; 2022; 12():968784. PubMed ID: 36568189
[TBL] [Abstract][Full Text] [Related]
5. Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
Liu L; Bi B; Cao L; Gui M; Ju F
Front Endocrinol (Lausanne); 2024; 15():1320335. PubMed ID: 38481447
[TBL] [Abstract][Full Text] [Related]
6. Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter study.
Zhang R; Hong M; Cai H; Liang Y; Chen X; Liu Z; Wu M; Zhou C; Bao C; Wang H; Yang S; Hu Q
Quant Imaging Med Surg; 2023 Dec; 13(12):7828-7841. PubMed ID: 38106261
[TBL] [Abstract][Full Text] [Related]
7. Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules.
Wang J; Sourlos N; Heuvelmans M; Prokop M; Vliegenthart R; van Ooijen P
Comput Biol Med; 2024 Feb; 169():107871. PubMed ID: 38154157
[TBL] [Abstract][Full Text] [Related]
8. Targeted metabolomics reveals the association between central carbon metabolism and pulmonary nodules.
Wu YY; Shen WB; Li JW; Liu MY; Hu WL; Wang S; Liu JJ; Huang F; Qin QR
PLoS One; 2023; 18(12):e0295276. PubMed ID: 38060623
[TBL] [Abstract][Full Text] [Related]
9. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
10. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
11. Prediction Model of Ocular Metastases in Gastric Adenocarcinoma: Machine Learning-Based Development and Interpretation Study.
Zou J; Shen YK; Wu SN; Wei H; Li QJ; Xu SH; Ling Q; Kang M; Liu ZL; Huang H; Chen X; Wang YX; Liao XL; Tan G; Shao Y
Technol Cancer Res Treat; 2024; 23():15330338231219352. PubMed ID: 38233736
[No Abstract] [Full Text] [Related]
12. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
13. Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.
Zhou S; Lu Z; Liu Y; Wang M; Zhou W; Cui X; Zhang J; Xiao W; Hua T; Zhu H; Yang M
Eur J Med Res; 2024 Jan; 29(1):14. PubMed ID: 38172962
[TBL] [Abstract][Full Text] [Related]
14. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C
Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865
[TBL] [Abstract][Full Text] [Related]
15. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
[TBL] [Abstract][Full Text] [Related]
16. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
17. A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary nodules.
Xing W; Sun H; Yan C; Zhao C; Wang D; Li M; Ma J
BMC Cancer; 2021 Mar; 21(1):263. PubMed ID: 33691657
[TBL] [Abstract][Full Text] [Related]
18. Supervised learning applied to classifying fallers versus non-fallers among older adults with cancer.
Ramsdale E; Kunduru M; Smith L; Culakova E; Shen J; Meng S; Zand M; Anand A
J Geriatr Oncol; 2023 May; 14(4):101498. PubMed ID: 37084629
[TBL] [Abstract][Full Text] [Related]
19. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Cognitive Impairment Risk among Older Adults: A Machine-Learning Based Comparative Study and Model Development.
Li J; Li J; Zhu H; Liu M; Li T; He Y; Xu Y; Huang F; Qin Q
Dement Geriatr Cogn Disord; 2024 May; ():. PubMed ID: 38776891
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
