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 *

111 related articles for article (PubMed ID: 32375287)

  • 1. Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept Study.
    Agibetov A; Seirer B; Dachs TM; Koschutnik M; Dalos D; Rettl R; Duca F; Schrutka L; Agis H; Kain R; Auer-Grumbach M; Binder C; Mascherbauer J; Hengstenberg C; Samwald M; Dorffner G; Bonderman D
    J Clin Med; 2020 May; 9(5):. PubMed ID: 32375287
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
    [No Abstract]   [Full Text] [Related]  

  • 3. Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry.
    Goyal A; Ngufor C; Kerezoudis P; McCutcheon B; Storlie C; Bydon M
    J Neurosurg Spine; 2019 Oct; 31(4):568-578. PubMed ID: 31174185
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study.
    Mufti HN; Hirsch GM; Abidi SR; Abidi SSR
    JMIR Med Inform; 2019 Oct; 7(4):e14993. PubMed ID: 31558433
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
    Rahimian F; Salimi-Khorshidi G; Payberah AH; Tran J; Ayala Solares R; Raimondi F; Nazarzadeh M; Canoy D; Rahimi K
    PLoS Med; 2018 Nov; 15(11):e1002695. PubMed ID: 30458006
    [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. 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]  

  • 9. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
    Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
    JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fetal health status prediction based on maternal clinical history using machine learning techniques.
    Akbulut A; Ertugrul E; Topcu V
    Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An intelligent warning model for early prediction of cardiac arrest in sepsis patients.
    Layeghian Javan S; Sepehri MM; Layeghian Javan M; Khatibi T
    Comput Methods Programs Biomed; 2019 Sep; 178():47-58. PubMed ID: 31416562
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?
    Thio QCBS; Karhade AV; Ogink PT; Raskin KA; De Amorim Bernstein K; Lozano Calderon SA; Schwab JH
    Clin Orthop Relat Res; 2018 Oct; 476(10):2040-2048. PubMed ID: 30179954
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
    Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
    Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of Vestibular Dysfunction by Applying Machine Learning Algorithms to Postural Instability.
    Kamogashira T; Fujimoto C; Kinoshita M; Kikkawa Y; Yamasoba T; Iwasaki S
    Front Neurol; 2020; 11():7. PubMed ID: 32116997
    [No Abstract]   [Full Text] [Related]  

  • 16. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.
    Kim H; Lee S; Lee S; Hong S; Kang H; Kim N
    JMIR Mhealth Uhealth; 2019 Oct; 7(10):e14149. PubMed ID: 31621642
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
    Paliwal N; Jaiswal P; Tutino VM; Shallwani H; Davies JM; Siddiqui AH; Rai R; Meng H
    Neurosurg Focus; 2018 Nov; 45(5):E7. PubMed ID: 30453461
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
    Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
    Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study.
    Zhang H; Ni W; Li J; Zhang J
    JMIR Med Inform; 2020 Jun; 8(6):e17608. PubMed ID: 32538797
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.