BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

208 related articles for article (PubMed ID: 33077570)

  • 1. Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania.
    Mboya IB; Mahande MJ; Mohammed M; Obure J; Mwambi HG
    BMJ Open; 2020 Oct; 10(10):e040132. PubMed ID: 33077570
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictors of perinatal death in the presence of missing data: A birth registry-based study in northern Tanzania.
    Mboya IB; Mahande MJ; Obure J; Mwambi HG
    PLoS One; 2020; 15(4):e0231636. PubMed ID: 32298332
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predictors of singleton preterm birth using multinomial regression models accounting for missing data: A birth registry-based cohort study in northern Tanzania.
    Mboya IB; Mahande MJ; Obure J; Mwambi HG
    PLoS One; 2021; 16(4):e0249411. PubMed ID: 33793638
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Causes of perinatal death at a tertiary care hospital in Northern Tanzania 2000-2010: a registry based study.
    Mmbaga BT; Lie RT; Olomi R; Mahande MJ; Olola O; Daltveit AK
    BMC Pregnancy Childbirth; 2012 Dec; 12():139. PubMed ID: 23199181
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effect of interpregnancy interval on adverse pregnancy outcomes in northern Tanzania: a registry-based retrospective cohort study.
    Mahande MJ; Obure J
    BMC Pregnancy Childbirth; 2016 Jun; 16(1):140. PubMed ID: 27268015
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Paternal characteristics associated with low birth weight among singleton births: a hospital-based birth cohort study in northern Tanzania.
    Sabas RR; Nyange NN; Mayala AM; Mahande MJ; Amour C; Mboya IB
    Pan Afr Med J; 2021; 40():179. PubMed ID: 35018212
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Emergency department triage prediction of clinical outcomes using machine learning models.
    Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K
    Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Frequency, risk factors and feto-maternal outcomes of abruptio placentae in Northern Tanzania: a registry-based retrospective cohort study.
    Macheku GS; Philemon RN; Oneko O; Mlay PS; Masenga G; Obure J; Mahande MJ
    BMC Pregnancy Childbirth; 2015 Oct; 15():242. PubMed ID: 26446879
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania.
    Tarimo CS; Bhuyan SS; Li Q; Mahande MJJ; Wu J; Fu X
    BMJ Open; 2021 Dec; 11(12):e051925. PubMed ID: 34857568
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Corticosteroid Randomization after Significant Head Injury and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury Models Compared with a Machine Learning-Based Predictive Model from Tanzania.
    Elahi C; Adil SM; Sakita F; Mmbaga BT; Hernandes Rocha TA; Fuller A; Haglund MM; Nickenig Vissoci JR; Staton C
    J Neurotrauma; 2022 Jan; 39(1-2):151-158. PubMed ID: 33980030
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.
    Tarimo CS; Bhuyan SS; Zhao Y; Ren W; Mohammed A; Li Q; Gardner M; Mahande MJ; Wang Y; Wu J
    BMC Pregnancy Childbirth; 2022 Apr; 22(1):275. PubMed ID: 35365129
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Grand multiparity as a predictor of adverse pregnancy outcome among women who delivered at a tertiary hospital in Northern Tanzania.
    Muniro Z; Tarimo CS; Mahande MJ; Maro E; Mchome B
    BMC Pregnancy Childbirth; 2019 Jul; 19(1):222. PubMed ID: 31266457
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A medical birth registry at Kilimanjaro Christian Medical Centre.
    Bergsjø P; Mlay J; Lie RT; Lie-Nielsen E; Shao JF
    East Afr J Public Health; 2007 Apr; 4(1):1-4. PubMed ID: 17907753
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.
    Goto T; Camargo CA; Faridi MK; Freishtat RJ; Hasegawa K
    JAMA Netw Open; 2019 Jan; 2(1):e186937. PubMed ID: 30646206
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania.
    Mboya IB; Mahande MJ; Obure J; Mwambi HG
    Front Pediatr; 2021; 9():749707. PubMed ID: 34917558
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cause-specific neonatal mortality in a neonatal care unit in Northern Tanzania: a registry based cohort study.
    Mmbaga BT; Lie RT; Olomi R; Mahande MJ; Kvåle G; Daltveit AK
    BMC Pediatr; 2012 Aug; 12():116. PubMed ID: 22871208
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Is time of birth a predictor of adverse perinatal outcome? A hospital-based cross-sectional study in a low-resource setting, Tanzania.
    Mgaya A; Hinju J; Kidanto H
    BMC Pregnancy Childbirth; 2017 Jun; 17(1):184. PubMed ID: 28606111
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.
    Zack CJ; Senecal C; Kinar Y; Metzger Y; Bar-Sinai Y; Widmer RJ; Lennon R; Singh M; Bell MR; Lerman A; Gulati R
    JACC Cardiovasc Interv; 2019 Jul; 12(14):1304-1311. PubMed ID: 31255564
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.
    Kuhle S; Maguire B; Zhang H; Hamilton D; Allen AC; Joseph KS; Allen VM
    BMC Pregnancy Childbirth; 2018 Aug; 18(1):333. PubMed ID: 30111303
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Frequency, Risk Factors, and Adverse Fetomaternal Outcomes of Placenta Previa in Northern Tanzania.
    Senkoro EE; Mwanamsangu AH; Chuwa FS; Msuya SE; Mnali OP; Brown BG; Mahande MJ
    J Pregnancy; 2017; 2017():5936309. PubMed ID: 28321338
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.