BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 33647071)

  • 1. Personalized prediction of early childhood asthma persistence: A machine learning approach.
    Bose S; Kenyon CC; Masino AJ
    PLoS One; 2021; 16(3):e0247784. PubMed ID: 33647071
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The epidemiologic characteristics of healthcare provider-diagnosed eczema, asthma, allergic rhinitis, and food allergy in children: a retrospective cohort study.
    Hill DA; Grundmeier RW; Ram G; Spergel JM
    BMC Pediatr; 2016 Aug; 16():133. PubMed ID: 27542726
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.
    Ross MK; Yoon J; van der Schaar A; van der Schaar M
    Ann Am Thorac Soc; 2018 Jan; 15(1):49-58. PubMed ID: 29048949
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of early childhood obesity with machine learning and electronic health record data.
    Pang X; Forrest CB; Lê-Scherban F; Masino AJ
    Int J Med Inform; 2021 Jun; 150():104454. PubMed ID: 33866231
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early predictors for developing allergic disease and asthma: examining separate steps in the 'allergic march'.
    Almqvist C; Li Q; Britton WJ; Kemp AS; Xuan W; Tovey ER; Marks GB;
    Clin Exp Allergy; 2007 Sep; 37(9):1296-302. PubMed ID: 17845409
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The current prevalence of asthma, allergic rhinitis, and eczema related symptoms in school-aged children in Costa Rica.
    Soto-Martínez ME; Yock-Corrales A; Camacho-Badilla K; Abdallah S; Duggan N; Avila-Benedictis L; Romero JJ; Soto-Quirós ME
    J Asthma; 2019 Apr; 56(4):360-368. PubMed ID: 29693462
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Establishing the incidence and prevalence of clinician-diagnosed allergic conditions in children and adolescents using routinely collected data from general practices.
    Punekar YS; Sheikh A
    Clin Exp Allergy; 2009 Aug; 39(8):1209-16. PubMed ID: 19400899
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting hospitalization of pediatric asthma patients in emergency departments using machine learning.
    Sills MR; Ozkaynak M; Jang H
    Int J Med Inform; 2021 Jul; 151():104468. PubMed ID: 33940479
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prevalence of asthma, rhinitis and eczema in children from the Bangkok area using the ISAAC (International Study for Asthma and Allergy in Children) questionnaires.
    Vichyanond P; Jirapongsananuruk O; Visitsuntorn N; Tuchinda M
    J Med Assoc Thai; 1998 Mar; 81(3):175-84. PubMed ID: 9623008
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization.
    Bhardwaj P; Tyagi A; Tyagi S; Antão J; Deng Q
    J Asthma; 2023 Mar; 60(3):487-495. PubMed ID: 35344453
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.
    AlSaad R; Malluhi Q; Janahi I; Boughorbel S
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):214. PubMed ID: 31703676
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of childhood asthma prediction models using machine learning approaches.
    Kothalawala DM; Murray CS; Simpson A; Custovic A; Tapper WJ; Arshad SH; Holloway JW; Rezwan FI;
    Clin Transl Allergy; 2021 Nov; 11(9):e12076. PubMed ID: 34841728
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Acquisition, remission, and persistence of eczema, asthma, and rhinitis in children.
    Zhang H; Kaushal A; Soto-Ramírez N; Ziyab AH; Ewart S; Holloway JW; Karmaus W; Arshad H
    Clin Exp Allergy; 2018 May; 48(5):568-576. PubMed ID: 29350800
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Allergic multimorbidity of asthma, rhinitis and eczema over 20 years in the German birth cohort MAS.
    Gough H; Grabenhenrich L; Reich A; Eckers N; Nitsche O; Schramm D; Beschorner J; Hoffmann U; Schuster A; Bauer CP; Forster J; Zepp F; Lee YA; Bergmann RL; Bergmann KE; Wahn U; Lau S; Keil T;
    Pediatr Allergy Immunol; 2015 Aug; 26(5):431-7. PubMed ID: 26011739
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.
    Patel SJ; Chamberlain DB; Chamberlain JM
    Acad Emerg Med; 2018 Dec; 25(12):1463-1470. PubMed ID: 30382605
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Early Diagnosis of Primary Immunodeficiency Disease Using Clinical Data and Machine Learning.
    Mayampurath A; Ajith A; Anderson-Smits C; Chang SC; Brouwer E; Johnson J; Baltasi M; Volchenboum S; Devercelli G; Ciaccio CE
    J Allergy Clin Immunol Pract; 2022 Nov; 10(11):3002-3007.e5. PubMed ID: 36108921
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting childhood obesity using electronic health records and publicly available data.
    Hammond R; Athanasiadou R; Curado S; Aphinyanaphongs Y; Abrams C; Messito MJ; Gross R; Katzow M; Jay M; Razavian N; Elbel B
    PLoS One; 2019; 14(4):e0215571. PubMed ID: 31009509
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning approaches to personalize early prediction of asthma exacerbations.
    Finkelstein J; Jeong IC
    Ann N Y Acad Sci; 2017 Jan; 1387(1):153-165. PubMed ID: 27627195
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sensitization to common allergens and its association with allergic disorders at age 4 years: a whole population birth cohort study.
    Arshad SH; Tariq SM; Matthews S; Hakim E
    Pediatrics; 2001 Aug; 108(2):E33. PubMed ID: 11483843
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Establishing the sequential progression of multiple allergic diagnoses in a UK birth cohort using the General Practice Research Database.
    Punekar YS; Sheikh A
    Clin Exp Allergy; 2009 Dec; 39(12):1889-95. PubMed ID: 19817751
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.