462 related articles for article (PubMed ID: 37883174)
21. Development and internal validation of machine learning models for personalized survival predictions in spinal cord glioma patients.
Karabacak M; Schupper AJ; Carr MT; Bhimani AD; Steinberger J; Margetis K
Spine J; 2024 Jun; 24(6):1065-1076. PubMed ID: 38365005
[TBL] [Abstract][Full Text] [Related]
22. Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models.
Xia K; Chen D; Jin S; Yi X; Luo L
Sci Rep; 2023 Sep; 13(1):14827. PubMed ID: 37684259
[TBL] [Abstract][Full Text] [Related]
23. Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
Oosterhoff JHF; de Hond AAH; Peters RM; van Steenbergen LN; Sorel JC; Zijlstra WP; Poolman RW; Ring D; Jutte PC; Kerkhoffs GMMJ; Putter H; Steyerberg EW; Doornberg JN;
Clin Orthop Relat Res; 2024 Mar; ():. PubMed ID: 38470976
[TBL] [Abstract][Full Text] [Related]
24. How Does the Skeletal Oncology Research Group Algorithm's Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?
Bongers MER; Karhade AV; Setola E; Gambarotti M; Groot OQ; Erdoğan KE; Picci P; Donati DM; Schwab JH; Palmerini E
Clin Orthop Relat Res; 2020 Oct; 478(10):2300-2308. PubMed ID: 32433107
[TBL] [Abstract][Full Text] [Related]
25. Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020.
de Groot TM; Ramsey D; Groot OQ; Fourman M; Karhade AV; Twining PK; Berner EA; Fenn BP; Collins AK; Raskin K; Lozano S; Newman E; Ferrone M; Doornberg JN; Schwab JH
Clin Orthop Relat Res; 2023 Dec; 481(12):2419-2430. PubMed ID: 37229565
[TBL] [Abstract][Full Text] [Related]
26. Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.
Wang F; Chen L; Liu L; Jia Y; Li W; Wang L; Zhi J; Liu W; Li W; Li Z
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12177-12189. PubMed ID: 37428248
[TBL] [Abstract][Full Text] [Related]
27. A Comparison Study of Machine Learning (Random Survival Forest) and Classic Statistic (Cox Proportional Hazards) for Predicting Progression in High-Grade Glioma after Proton and Carbon Ion Radiotherapy.
Qiu X; Gao J; Yang J; Hu J; Hu W; Kong L; Lu JJ
Front Oncol; 2020; 10():551420. PubMed ID: 33194609
[TBL] [Abstract][Full Text] [Related]
28. Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models.
Wang M; Greenberg M; Forkert ND; Chekouo T; Afriyie G; Ismail Z; Smith EE; Sajobi TT
BMC Med Res Methodol; 2022 Nov; 22(1):284. PubMed ID: 36324086
[TBL] [Abstract][Full Text] [Related]
29. Prediction model of atrial fibrillation recurrence after Cox-Maze IV procedure in patients with chronic valvular disease and atrial fibrillation based on machine learning algorithm.
Jiang Z; Song L; Liang C; Zhang H; Liu L
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 Jul; 48(7):995-1007. PubMed ID: 37724402
[TBL] [Abstract][Full Text] [Related]
30. Machine learning-based overall and cancer-specific survival prediction of M0 penile squamous cell carcinoma：A population-based retrospective study.
Chen D; Liang S; Chen J; Li K; Mi H
Heliyon; 2024 Jan; 10(1):e23442. PubMed ID: 38163093
[TBL] [Abstract][Full Text] [Related]
31. Machine learning for predicting the survival in osteosarcoma patients: Analysis based on American and Hebei Province cohort.
Hao Y; Liang D; Zhang S; Wu S; Li D; Wang Y; Shi M; He Y
Biomol Biomed; 2023 Sep; 23(5):883-893. PubMed ID: 36967662
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
[TBL] [Abstract][Full Text] [Related]
34. Does the SORG Algorithm Predict 5-year Survival in Patients with Chondrosarcoma? An External Validation.
Bongers MER; Thio QCBS; Karhade AV; Stor ML; Raskin KA; Lozano Calderon SA; DeLaney TF; Ferrone ML; Schwab JH
Clin Orthop Relat Res; 2019 Oct; 477(10):2296-2303. PubMed ID: 31107338
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.
van den Bosch T; Warps AK; de Nerée Tot Babberich MPM; Stamm C; Geerts BF; Vermeulen L; Wouters MWJM; Dekker JWT; Tollenaar RAEM; Tanis PJ; Miedema DM;
JAMA Netw Open; 2021 Apr; 4(4):e217737. PubMed ID: 33900400
[TBL] [Abstract][Full Text] [Related]
37. Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.
Thio QCBS; Karhade AV; Bindels BJJ; Ogink PT; Bramer JAM; Ferrone ML; Calderón SL; Raskin KA; Schwab JH
Clin Orthop Relat Res; 2020 Feb; 478(2):322-333. PubMed ID: 31651589
[TBL] [Abstract][Full Text] [Related]
38. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.
Herrin J; Abraham NS; Yao X; Noseworthy PA; Inselman J; Shah ND; Ngufor C
JAMA Netw Open; 2021 May; 4(5):e2110703. PubMed ID: 34019087
[TBL] [Abstract][Full Text] [Related]
39. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
Chen X; Pan J; Li Y; Tang R
Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
[TBL] [Abstract][Full Text] [Related]
40. Application of Machine Learning Models to Predict Recurrence After Surgical Resection of Nonmetastatic Renal Cell Carcinoma.
Khene ZE; Bigot P; Doumerc N; Ouzaid I; Boissier R; Nouhaud FX; Albiges L; Bernhard JC; Ingels A; Borchiellini D; Kammerer-Jacquet S; Rioux-Leclercq N; Roupret M; Acosta O; De Crevoisier R; Bensalah K;
Eur Urol Oncol; 2023 Jun; 6(3):323-330. PubMed ID: 35987730
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
