113 related articles for article (PubMed ID: 37431109)
1. Machine learning algorithm to predict response to immunotherapy in real-life settings for patients with advanced melanoma.
Frenard C; Blanchet K; Lecerf P; Varey E; Khammari A; Dréno B
Eur J Dermatol; 2023 Apr; 33(2):75-80. PubMed ID: 37431109
[TBL] [Abstract][Full Text] [Related]
2. Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients.
Prelaj A; Galli EG; Miskovic V; Pesenti M; Viscardi G; Pedica B; Mazzeo L; Bottiglieri A; Provenzano L; Spagnoletti A; Marinacci R; De Toma A; Proto C; Ferrara R; Brambilla M; Occhipinti M; Manglaviti S; Galli G; Signorelli D; Giani C; Beninato T; Pircher CC; Rametta A; Kosta S; Zanitti M; Di Mauro MR; Rinaldi A; Di Gregorio S; Antonia M; Garassino MC; de Braud FGM; Restelli M; Lo Russo G; Ganzinelli M; Trovò F; Pedrocchi ALG
Front Oncol; 2022; 12():1078822. PubMed ID: 36755856
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
Ye Z; An S; Gao Y; Xie E; Zhao X; Guo Z; Li Y; Shen N; Ren J; Zheng J
Eur J Med Res; 2023 Jan; 28(1):33. PubMed ID: 36653875
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Machine Learning Models for Prediction of Severe
Liu Y; Qiu T; Hu H; Kong C; Zhang Y; Wang T; Zhou J; Zou J
Diagnostics (Basel); 2023 Aug; 13(17):. PubMed ID: 37685276
[TBL] [Abstract][Full Text] [Related]
8. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai BL; Wu ZY; Weng SJ; Yang Q
Cancer Med; 2023 Feb; 12(4):5025-5034. PubMed ID: 36082478
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients.
Lu SC; Knafl M; Turin A; Offodile AC; Ravi V; Sidey-Gibbons C
JCO Clin Cancer Inform; 2023 Mar; 7():e2200123. PubMed ID: 37001039
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of an Insulin Resistance Model for a Population with Chronic Kidney Disease Using a Machine Learning Approach.
Lee CL; Liu WJ; Tsai SF
Nutrients; 2022 Jul; 14(14):. PubMed ID: 35889789
[TBL] [Abstract][Full Text] [Related]
11. Machine learning algorithms identify hypokalaemia risk in people with hypertension in the United States National Health and Nutrition Examination Survey 1999-2018.
Lin Z; Cheng YT; Cheung BMY
Ann Med; 2023 Dec; 55(1):2209336. PubMed ID: 37162442
[TBL] [Abstract][Full Text] [Related]
12. Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
Meiseles A; Paley D; Ziv M; Hadid Y; Rokach L; Tadmor T
Comput Biol Med; 2022 Jun; 145():105490. PubMed ID: 35405402
[TBL] [Abstract][Full Text] [Related]
13. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
[TBL] [Abstract][Full Text] [Related]
14. Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma.
Tabari A; Cox M; D'Amore B; Mansur A; Dabbara H; Boland G; Gee MS; Daye D
Cancers (Basel); 2023 May; 15(10):. PubMed ID: 37345037
[TBL] [Abstract][Full Text] [Related]
15. Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy.
Madonna G; Masucci GV; Capone M; Mallardo D; Grimaldi AM; Simeone E; Vanella V; Festino L; Palla M; Scarpato L; Tuffanelli M; D'angelo G; Villabona L; Krakowski I; Eriksson H; Simao F; Lewensohn R; Ascierto PA
Cancers (Basel); 2021 Aug; 13(16):. PubMed ID: 34439318
[TBL] [Abstract][Full Text] [Related]
16. Prediction of low cardiac output syndrome in patients following cardiac surgery using machine learning.
Hong L; Xu H; Ge C; Tao H; Shen X; Song X; Guan D; Zhang C
Front Med (Lausanne); 2022; 9():973147. PubMed ID: 36091676
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning to Predict the Response to Lenvatinib Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma.
Ma J; Bo Z; Zhao Z; Yang J; Yang Y; Li H; Yang Y; Wang J; Su Q; Wang J; Chen K; Yu Z; Wang Y; Chen G
Cancers (Basel); 2023 Jan; 15(3):. PubMed ID: 36765583
[TBL] [Abstract][Full Text] [Related]
18. Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP.
Alabi RO; Elmusrati M; Leivo I; Almangush A; Mäkitie AA
Sci Rep; 2023 Jun; 13(1):8984. PubMed ID: 37268685
[TBL] [Abstract][Full Text] [Related]
19. A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma.
Brendlin AS; Peisen F; Almansour H; Afat S; Eigentler T; Amaral T; Faby S; Calvarons AF; Nikolaou K; Othman AE
J Immunother Cancer; 2021 Nov; 9(11):. PubMed ID: 34795006
[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]