161 related articles for article (PubMed ID: 38285801)
1. Classification and Diagnostic Prediction of Colorectal Cancer Mortality Based on Machine Learning Algorithms: A Multicenter National Study.
Mohammadi G; Azizmohammad Looha M; Pourhoseingholi MA; Rezaei Tavirani M; Sohrabi S; Zareie Shab Khaneh A; Piri H; Alaei M; Parvani N; Vakilzadeh I; Javadi S; Moradian Haft Cheshmeh Z; Razzaghi Z; Robati RM; Zamanian Azodi M; Zarean Shahraki S; Hadavi M; Talebi R; Yazdani JC; Motlagh ME; Khodakarim S
Asian Pac J Cancer Prev; 2024 Jan; 25(1):333-342. PubMed ID: 38285801
[TBL] [Abstract][Full Text] [Related]
2. Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study.
Achilonu OJ; Fabian J; Bebington B; Singh E; Eijkemans MJC; Musenge E
Front Public Health; 2021; 9():694306. PubMed ID: 34307286
[No Abstract] [Full Text] [Related]
3. Machine learning-based classifiers to predict metastasis in colorectal cancer patients.
Talebi R; Celis-Morales CA; Akbari A; Talebi A; Borumandnia N; Pourhoseingholi MA
Front Artif Intell; 2024; 7():1285037. PubMed ID: 38327669
[TBL] [Abstract][Full Text] [Related]
4. Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
Hassanzadeh R; Farhadian M; Rafieemehr H
BMC Med Res Methodol; 2023 Apr; 23(1):101. PubMed ID: 37087425
[TBL] [Abstract][Full Text] [Related]
5. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
[TBL] [Abstract][Full Text] [Related]
6. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
Yang X; Qiu H; Wang L; Wang X
J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
[TBL] [Abstract][Full Text] [Related]
7. Blood Biomarkers Panels for Screening of Colorectal Cancer and Adenoma on a Machine Learning-Assisted Detection Platform.
Wang H; Zhou Z; Li H; Xiang W; Lan Y; Dou X; Zhang X
Cancer Control; 2023; 30():10732748231222109. PubMed ID: 38146088
[TBL] [Abstract][Full Text] [Related]
8. Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis.
Cui Y; Shi X; Qin Y; Wang Q; Cao X; Che X; Pan Y; Wang B; Lei M; Liu Y
Int J Surg; 2024 May; 110(5):2738-2756. PubMed ID: 38376838
[TBL] [Abstract][Full Text] [Related]
9. Predicting metastasis in gastric cancer patients: machine learning-based approaches.
Talebi A; Celis-Morales CA; Borumandnia N; Abbasi S; Pourhoseingholi MA; Akbari A; Yousefi J
Sci Rep; 2023 Mar; 13(1):4163. PubMed ID: 36914697
[TBL] [Abstract][Full Text] [Related]
10. The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma.
Yuan H; Xu X; Tu S; Chen B; Wei Y; Ma Y
BMC Gastroenterol; 2022 Nov; 22(1):463. PubMed ID: 36384504
[TBL] [Abstract][Full Text] [Related]
11. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
12. Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.
Li H; Lin J; Xiao Y; Zheng W; Zhao L; Yang X; Zhong M; Liu H
Technol Cancer Res Treat; 2021; 20():15330338211058352. PubMed ID: 34806496
[No Abstract] [Full Text] [Related]
13. Using gut microbiota as a diagnostic tool for colorectal cancer: machine learning techniques reveal promising results.
Lu F; Lei T; Zhou J; Liang H; Cui P; Zuo T; Ye L; Chen H; Huang J
J Med Microbiol; 2023 Jun; 72(6):. PubMed ID: 37288545
[No Abstract] [Full Text] [Related]
14. Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
Kitcharanant N; Chotiyarnwong P; Tanphiriyakun T; Vanitcharoenkul E; Mahaisavariya C; Boonyaprapa W; Unnanuntana A
BMC Geriatr; 2022 May; 22(1):451. PubMed ID: 35610589
[TBL] [Abstract][Full Text] [Related]
15. A Prediction Model for Tumor Recurrence in Stage II-III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling.
Chen PC; Yeh YM; Lin BW; Chan RH; Su PF; Liu YC; Lee CT; Chen SH; Lin PC
Biomedicines; 2022 Feb; 10(2):. PubMed ID: 35203549
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A machine learning approach to predicting vascular calcification risk of type 2 diabetes: A retrospective study.
Liang X; Li X; Li G; Wang B; Liu Y; Sun D; Liu L; Zhang R; Ji S; Yan W; Yu R; Gao Z; Liu X
Clin Cardiol; 2024 Apr; 47(4):e24264. PubMed ID: 38563389
[TBL] [Abstract][Full Text] [Related]
18. Machine learning algorithms to predict seizure due to acute tramadol poisoning.
Behnoush B; Bazmi E; Nazari SH; Khodakarim S; Looha MA; Soori H
Hum Exp Toxicol; 2021 Aug; 40(8):1225-1233. PubMed ID: 33538187
[TBL] [Abstract][Full Text] [Related]
19. Application of several machine learning algorithms for the prediction of afatinib treatment outcome in advanced-stage EGFR-mutated non-small-cell lung cancer.
Kim T; Lee SJ; Jang TW
Thorac Cancer; 2022 Dec; 13(23):3353-3361. PubMed ID: 36278315
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Approaches to Predict Chronic Lower Back Pain in People Aged over 50 Years.
Shim JG; Ryu KH; Cho EA; Ahn JH; Kim HK; Lee YJ; Lee SH
Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833448
[No Abstract] [Full Text] [Related]
[Next] [New Search]