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 *

293 related articles for article (PubMed ID: 32530947)

  • 21. Machine Learning for Brain Stroke: A Review.
    Sirsat MS; Fermé E; Câmara J
    J Stroke Cerebrovasc Dis; 2020 Oct; 29(10):105162. PubMed ID: 32912543
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Application of machine learning in predicting survival outcomes involving real-world data: a scoping review.
    Huang Y; Li J; Li M; Aparasu RR
    BMC Med Res Methodol; 2023 Nov; 23(1):268. PubMed ID: 37957593
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy.
    Shi Z; Zhang Z; Liu Z; Zhao L; Ye Z; Dekker A; Wee L
    Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2462-2481. PubMed ID: 34939174
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.
    Senanayake S; White N; Graves N; Healy H; Baboolal K; Kularatna S
    Int J Med Inform; 2019 Oct; 130():103957. PubMed ID: 31472443
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Clinical prediction models for mortality and functional outcome following ischemic stroke: A systematic review and meta-analysis.
    Fahey M; Crayton E; Wolfe C; Douiri A
    PLoS One; 2018; 13(1):e0185402. PubMed ID: 29377923
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Machine Learning-Based Model for Prediction of Outcomes in Acute Stroke.
    Heo J; Yoon JG; Park H; Kim YD; Nam HS; Heo JH
    Stroke; 2019 May; 50(5):1263-1265. PubMed ID: 30890116
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting Clinical Outcomes of Large Vessel Occlusion Before Mechanical Thrombectomy Using Machine Learning.
    Nishi H; Oishi N; Ishii A; Ono I; Ogura T; Sunohara T; Chihara H; Fukumitsu R; Okawa M; Yamana N; Imamura H; Sadamasa N; Hatano T; Nakahara I; Sakai N; Miyamoto S
    Stroke; 2019 Sep; 50(9):2379-2388. PubMed ID: 31409267
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Systematic review finds "spin" practices and poor reporting standards in studies on machine learning-based prediction models.
    Andaur Navarro CL; Damen JAA; Takada T; Nijman SWJ; Dhiman P; Ma J; Collins GS; Bajpai R; Riley RD; Moons KGM; Hooft L
    J Clin Epidemiol; 2023 Jun; 158():99-110. PubMed ID: 37024020
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022).
    Sheehy J; Rutledge H; Acharya UR; Loh HW; Gururajan R; Tao X; Zhou X; Li Y; Gurney T; Kondalsamy-Chennakesavan S
    Artif Intell Med; 2023 May; 139():102536. PubMed ID: 37100507
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.
    Sinclair P; Kable A; Levett-Jones T
    JBI Database System Rev Implement Rep; 2015 Jan; 13(1):52-64. PubMed ID: 26447007
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke.
    Higashida RT; Furlan AJ; Roberts H; Tomsick T; Connors B; Barr J; Dillon W; Warach S; Broderick J; Tilley B; Sacks D; ;
    Stroke; 2003 Aug; 34(8):e109-37. PubMed ID: 12869717
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Development of machine learning algorithms for prediction of mortality in spinal epidural abscess.
    Karhade AV; Shah AA; Bono CM; Ferrone ML; Nelson SB; Schoenfeld AJ; Harris MB; Schwab JH
    Spine J; 2019 Dec; 19(12):1950-1959. PubMed ID: 31255788
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.
    Churpek MM; Yuen TC; Winslow C; Meltzer DO; Kattan MW; Edelson DP
    Crit Care Med; 2016 Feb; 44(2):368-74. PubMed ID: 26771782
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prediction models for child and adolescent mental health: A systematic review of methodology and reporting in recent research.
    Senior M; Fanshawe T; Fazel M; Fazel S
    JCPP Adv; 2021 Oct; 1(3):e12034. PubMed ID: 37431439
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review.
    Bektaş M; Tuynman JB; Costa Pereira J; Burchell GL; van der Peet DL
    World J Surg; 2022 Dec; 46(12):3100-3110. PubMed ID: 36109367
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Machine learning models for decision support in epilepsy management: A critical review.
    Smolyansky ED; Hakeem H; Ge Z; Chen Z; Kwan P
    Epilepsy Behav; 2021 Oct; 123():108273. PubMed ID: 34507093
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 15.