These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 33432543)

  • 1. Body Mass Index Variable Interpolation to Expand the Utility of Real-world Administrative Healthcare Claims Database Analyses.
    Wu B; Chow W; Sakthivel M; Kakade O; Gupta K; Israel D; Chen YW; Kuruvilla AS
    Adv Ther; 2021 Feb; 38(2):1314-1327. PubMed ID: 33432543
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.
    Lan G; Wu B; Sharma K; Gadhia K; Ashton V
    Adv Ther; 2022 Aug; 39(8):3835-3844. PubMed ID: 35680715
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Applying machine learning approaches for predicting obesity risk using US health administrative claims database.
    Choong C; Brnabic A; Chinthammit C; Ravuri M; Terrell K; Kan H
    BMJ Open Diabetes Res Care; 2024 Sep; 12(5):. PubMed ID: 39327067
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.
    Johnston SS; Morton JM; Kalsekar I; Ammann EM; Hsiao CW; Reps J
    Value Health; 2019 May; 22(5):580-586. PubMed ID: 31104738
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project.
    Gibson TB; Nguyen MD; Burrell T; Yoon F; Wong J; Dharmarajan S; Ouellet-Hellstrom R; Hua W; Ma Y; Baro E; Bloemers S; Pack C; Kennedy A; Toh S; Ball R
    J Am Med Inform Assoc; 2021 Jul; 28(7):1507-1517. PubMed ID: 33712852
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches.
    Ong MS; Klann JG; Lin KJ; Maron BA; Murphy SN; Natter MD; Mandl KD
    J Am Heart Assoc; 2020 Oct; 9(19):e016648. PubMed ID: 32990147
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.
    Bur AM; Holcomb A; Goodwin S; Woodroof J; Karadaghy O; Shnayder Y; Kakarala K; Brant J; Shew M
    Oral Oncol; 2019 May; 92():20-25. PubMed ID: 31010618
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases.
    Chandran U; Reps J; Stang PE; Ryan PB
    PLoS One; 2019; 14(12):e0226255. PubMed ID: 31851711
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accuracy and utility of using administrative healthcare databases to identify people with epilepsy: a protocol for a systematic review and meta-analysis.
    Mbizvo GK; Bennett K; Simpson CR; Duncan SE; Chin RFM
    BMJ Open; 2018 Jun; 8(6):e020824. PubMed ID: 29961014
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inferring pregnancy episodes and outcomes within a network of observational databases.
    Matcho A; Ryan P; Fife D; Gifkins D; Knoll C; Friedman A
    PLoS One; 2018; 13(2):e0192033. PubMed ID: 29389968
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classifying injury narratives of large administrative databases for surveillance-A practical approach combining machine learning ensembles and human review.
    Marucci-Wellman HR; Corns HL; Lehto MR
    Accid Anal Prev; 2017 Jan; 98():359-371. PubMed ID: 27863339
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of body mass index (BMI)-related ICD-9-CM and ICD-10-CM administrative diagnosis codes recorded in US claims data.
    Ammann EM; Kalsekar I; Yoo A; Johnston SS
    Pharmacoepidemiol Drug Saf; 2018 Oct; 27(10):1092-1100. PubMed ID: 30003617
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis.
    Bashir NZ; Rahman Z; Chen SL
    J Clin Periodontol; 2022 Oct; 49(10):958-969. PubMed ID: 35781722
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Claims Data to Predict Pre-Operative BMI Among Bariatric Surgery Patients: Development of the BMI Before Bariatric Surgery Scoring System (B3S3).
    Wong J; Li X; Arterburn DE; Li D; Messenger-Jones E; Wang R; Toh S
    Pragmat Obs Res; 2024; 15():65-78. PubMed ID: 38559704
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data.
    Reps JM; Rijnbeek PR; Ryan PB
    Drug Saf; 2019 Nov; 42(11):1377-1386. PubMed ID: 31054141
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.
    Gowd AK; Agarwalla A; Amin NH; Romeo AA; Nicholson GP; Verma NN; Liu JN
    J Shoulder Elbow Surg; 2019 Dec; 28(12):e410-e421. PubMed ID: 31383411
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Suitability of administrative claims databases for bariatric surgery research - is the glass half-full or half-empty?
    Li X; Lewis KH; Callaway K; Wharam JF; Toh S
    BMC Med Res Methodol; 2020 Sep; 20(1):225. PubMed ID: 32894060
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.
    Raket LL; Jaskolowski J; Kinon BJ; Brasen JC; Jönsson L; Wehnert A; Fusar-Poli P
    Lancet Digit Health; 2020 May; 2(5):e229-e239. PubMed ID: 33328055
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry.
    Gupta S; Tran T; Luo W; Phung D; Kennedy RL; Broad A; Campbell D; Kipp D; Singh M; Khasraw M; Matheson L; Ashley DM; Venkatesh S
    BMJ Open; 2014 Mar; 4(3):e004007. PubMed ID: 24643167
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and Validation of an Algorithm for Identifying Patients with Hemophilia A in an Administrative Claims Database.
    Lyons J; Desai V; Xu Y; Ridgeway G; Finkle W; Solari P; Sullivan S; Lanes S
    Value Health; 2018 Sep; 21(9):1098-1103. PubMed ID: 30224115
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.