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 *

150 related articles for article (PubMed ID: 37408743)

  • 1. Prediction of posttraumatic functional recovery in middle-aged and older patients through dynamic ensemble selection modeling.
    Nhu NT; Kang JH; Yeh TS; Wu CC; Tsai CY; Piravej K; Lam C
    Front Public Health; 2023; 11():1164820. PubMed ID: 37408743
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia.
    Mulugeta G; Zewotir T; Tegegne AS; Juhar LH; Muleta MB
    BMC Med Inform Decis Mak; 2023 May; 23(1):98. PubMed ID: 37217892
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery.
    Ren W; Li D; Wang J; Zhang J; Fu Z; Yao Y
    Comput Math Methods Med; 2022; 2022():8661324. PubMed ID: 35465016
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of successful aging using ensemble machine learning algorithms.
    Asghari Varzaneh Z; Shanbehzadeh M; Kazemi-Arpanahi H
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):258. PubMed ID: 36192713
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
    Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study.
    Park C; Mummaneni PV; Gottfried ON; Shaffrey CI; Tang AJ; Bisson EF; Asher AL; Coric D; Potts EA; Foley KT; Wang MY; Fu KM; Virk MS; Knightly JJ; Meyer S; Park P; Upadhyaya C; Shaffrey ME; Buchholz AL; Tumialán LM; Turner JD; Sherrod BA; Agarwal N; Chou D; Haid RW; Bydon M; Chan AK
    Neurosurg Focus; 2023 Jun; 54(6):E5. PubMed ID: 37283449
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.
    Huang L; Li J; Huang M; Zhuang J; Yuan H; Jia Q; Zeng D; Que L; Xi Y; Lin J; Dong Y
    Eur Radiol; 2020 Mar; 30(3):1369-1377. PubMed ID: 31705256
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.
    Rendell K; Koprinska I; Kyme A; Ebker-White AA; Dinh MM
    Emerg Med Australas; 2019 Jun; 31(3):429-435. PubMed ID: 30469164
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study.
    He F; Page JH; Weinberg KR; Mishra A
    J Med Internet Res; 2022 Jan; 24(1):e31549. PubMed ID: 34951865
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of machine learning to predict the outcome of pediatric traumatic brain injury.
    Tunthanathip T; Oearsakul T
    Chin J Traumatol; 2021 Nov; 24(6):350-355. PubMed ID: 34284922
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.
    Matsuo K; Aihara H; Nakai T; Morishita A; Tohma Y; Kohmura E
    J Neurotrauma; 2020 Jan; 37(1):202-210. PubMed ID: 31359814
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
    Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
    BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting Overall Survival Using Machine Learning Algorithms in Oral Cavity Squamous Cell Carcinoma.
    Tan JY; Adeoye J; Thomson P; Sharma D; Ramamurthy P; Choi SW
    Anticancer Res; 2022 Dec; 42(12):5859-5866. PubMed ID: 36456152
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Value of machine learning algorithms for predicting diabetes risk: A subset analysis from a real-world retrospective cohort study.
    Mao Y; Zhu Z; Pan S; Lin W; Liang J; Huang H; Li L; Wen J; Chen G
    J Diabetes Investig; 2023 Feb; 14(2):309-320. PubMed ID: 36345236
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison and validation of injury risk classifiers for advanced automated crash notification systems.
    Kusano K; Gabler HC
    Traffic Inj Prev; 2014; 15 Suppl 1():S126-33. PubMed ID: 25307377
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.