BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1253 related articles for article (PubMed ID: 30461117)

  • 1. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
    Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
    Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Can machine-learning improve cardiovascular risk prediction using routine clinical data?
    Weng SF; Reps J; Kai J; Garibaldi JM; Qureshi N
    PLoS One; 2017; 12(4):e0174944. PubMed ID: 28376093
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting hospitalization following psychiatric crisis care using machine learning.
    Blankers M; van der Post LFM; Dekker JJM
    BMC Med Inform Decis Mak; 2020 Dec; 20(1):332. PubMed ID: 33302948
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data.
    Bone C; Simmonds-Buckley M; Thwaites R; Sandford D; Merzhvynska M; Rubel J; Deisenhofer AK; Lutz W; Delgadillo J
    Lancet Digit Health; 2021 Apr; 3(4):e231-e240. PubMed ID: 33766287
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus 'trained' machine learning models.
    Symons M; Feeney GFX; Gallagher MR; Young RM; Connor JP
    Addiction; 2020 Nov; 115(11):2164-2175. PubMed ID: 32150316
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).
    Beunza JJ; Puertas E; García-Ovejero E; Villalba G; Condes E; Koleva G; Hurtado C; Landecho MF
    J Biomed Inform; 2019 Sep; 97():103257. PubMed ID: 31374261
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
    Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA
    J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.
    Yahya N; Ebert MA; Bulsara M; House MJ; Kennedy A; Joseph DJ; Denham JW
    Med Phys; 2016 May; 43(5):2040. PubMed ID: 27147316
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.
    Kweon S; Lee JH; Lee Y; Park YR
    J Med Internet Res; 2020 Aug; 22(8):e18387. PubMed ID: 32773372
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study.
    Oh SS; Kuang I; Jeong H; Song JY; Ren B; Moon JY; Park EC; Kawachi I
    J Med Internet Res; 2023 Jul; 25():e45041. PubMed ID: 37463016
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prospective prediction of suicide attempts in community adolescents and young adults, using regression methods and machine learning.
    Miché M; Studerus E; Meyer AH; Gloster AT; Beesdo-Baum K; Wittchen HU; Lieb R
    J Affect Disord; 2020 Mar; 265():570-578. PubMed ID: 31786028
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
    Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
    Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison and development of machine learning tools in the prediction of chronic kidney disease progression.
    Xiao J; Ding R; Xu X; Guan H; Feng X; Sun T; Zhu S; Ye Z
    J Transl Med; 2019 Apr; 17(1):119. PubMed ID: 30971285
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
    Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
    Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor.
    Liu L; Jiao Y; Li X; Ouyang Y; Shi D
    Comput Methods Programs Biomed; 2020 Nov; 196():105624. PubMed ID: 32623348
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.
    Kim DW; Kim H; Nam W; Kim HJ; Cha IH
    Bone; 2018 Nov; 116():207-214. PubMed ID: 29698784
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 63.