153 related articles for article (PubMed ID: 38287149)
1. Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques.
Babaei Rikan S; Sorayaie Azar A; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Wiil UK
Sci Rep; 2024 Jan; 14(1):2371. PubMed ID: 38287149
[TBL] [Abstract][Full Text] [Related]
2. Application of machine learning techniques for predicting survival in ovarian cancer.
Sorayaie Azar A; Babaei Rikan S; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Bagherzadeh Mohasefi M; Wiil UK
BMC Med Inform Decis Mak; 2022 Dec; 22(1):345. PubMed ID: 36585641
[TBL] [Abstract][Full Text] [Related]
3. Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions.
Rodríguez-Pérez R; Bajorath J
J Comput Aided Mol Des; 2020 Oct; 34(10):1013-1026. PubMed ID: 32361862
[TBL] [Abstract][Full Text] [Related]
4. Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak.
Talukdar S; Shahfahad ; Bera S; Naikoo MW; Ramana GV; Mallik S; Kumar PA; Rahman A
J Environ Manage; 2024 Feb; 351():119866. PubMed ID: 38147770
[TBL] [Abstract][Full Text] [Related]
5. Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan's largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development.
Ishii E; Nawa N; Hashimoto S; Shigemitsu H; Fujiwara T
Anaesth Crit Care Pain Med; 2023 Apr; 42(2):101167. PubMed ID: 36302489
[TBL] [Abstract][Full Text] [Related]
6. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
[TBL] [Abstract][Full Text] [Related]
7. Lung cancer survival period prediction and understanding: Deep learning approaches.
Doppalapudi S; Qiu RG; Badr Y
Int J Med Inform; 2021 Apr; 148():104371. PubMed ID: 33461009
[TBL] [Abstract][Full Text] [Related]
8. On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise.
Shen C; Tsai MY; Chen L; Li S; Nguyen D; Wang J; Jiang SB; Jia X
Phys Med Biol; 2020 Dec; 65(24):245037. PubMed ID: 33152716
[TBL] [Abstract][Full Text] [Related]
9. Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.
Kishore A; Venkataramana L; Prasad DVV; Mohan A; Jha B
Med Biol Eng Comput; 2023 Nov; 61(11):2895-2919. PubMed ID: 37530887
[TBL] [Abstract][Full Text] [Related]
10. Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma.
Xu L; Cai L; Zhu Z; Chen G
BMC Endocr Disord; 2023 Jun; 23(1):129. PubMed ID: 37291551
[TBL] [Abstract][Full Text] [Related]
11. Deep learning uncertainty quantification for clinical text classification.
Peluso A; Danciu I; Yoon HJ; Yusof JM; Bhattacharya T; Spannaus A; Schaefferkoetter N; Durbin EB; Wu XC; Stroup A; Doherty J; Schwartz S; Wiggins C; Coyle L; Penberthy L; Tourassi GD; Gao S
J Biomed Inform; 2024 Jan; 149():104576. PubMed ID: 38101690
[TBL] [Abstract][Full Text] [Related]
12. Development of machine learning model for diagnostic disease prediction based on laboratory tests.
Park DJ; Park MW; Lee H; Kim YJ; Kim Y; Park YH
Sci Rep; 2021 Apr; 11(1):7567. PubMed ID: 33828178
[TBL] [Abstract][Full Text] [Related]
13. A dynamic machine learning model for prediction of NAFLD in a health checkup population: A longitudinal study.
Deng Y; Ma Y; Fu J; Wang X; Yu C; Lv J; Man S; Wang B; Li L
Heliyon; 2023 Aug; 9(8):e18758. PubMed ID: 37576311
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
Thorsen-Meyer HC; Nielsen AB; Nielsen AP; Kaas-Hansen BS; Toft P; Schierbeck J; Strøm T; Chmura PJ; Heimann M; Dybdahl L; Spangsege L; Hulsen P; Belling K; Brunak S; Perner A
Lancet Digit Health; 2020 Apr; 2(4):e179-e191. PubMed ID: 33328078
[TBL] [Abstract][Full Text] [Related]
17. Prediction of lung cancer patient survival via supervised machine learning classification techniques.
Lynch CM; Abdollahi B; Fuqua JD; de Carlo AR; Bartholomai JA; Balgemann RN; van Berkel VH; Frieboes HB
Int J Med Inform; 2017 Dec; 108():1-8. PubMed ID: 29132615
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
Charlton CE; Poon MTC; Brennan PM; Fleuriot JD
Comput Methods Programs Biomed; 2023 May; 233():107482. PubMed ID: 36947980
[TBL] [Abstract][Full Text] [Related]
20. An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer.
Alabi RO; Almangush A; Elmusrati M; Leivo I; Mäkitie AA
Int J Med Inform; 2022 Dec; 168():104896. PubMed ID: 36279655
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
