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 *

131 related articles for article (PubMed ID: 37349618)

  • 21. Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features.
    Barough SS; Safavi-Naini SAA; Siavoshi F; Tamimi A; Ilkhani S; Akbari S; Ezzati S; Hatamabadi H; Pourhoseingholi MA
    Sci Rep; 2023 Feb; 13(1):2399. PubMed ID: 36765157
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.
    Cui Y; Shi X; Wang S; Qin Y; Wang B; Che X; Lei M
    Front Public Health; 2022; 10():1019168. PubMed ID: 36276398
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.
    Domínguez-Olmedo JL; Gragera-Martínez Á; Mata J; Pachón Álvarez V
    J Med Internet Res; 2021 Apr; 23(4):e26211. PubMed ID: 33793407
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
    Liu Q; Pang B; Li H; Zhang B; Liu Y; Lai L; Le W; Li J; Xia T; Zhang X; Ou C; Ma J; Li S; Guo X; Zhang S; Zhang Q; Jiang M; Zeng Q
    J Thorac Dis; 2021 Feb; 13(2):1215-1229. PubMed ID: 33717594
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identifying Predictors of COVID-19 Mortality Using Machine Learning.
    Wan TK; Huang RX; Tulu TW; Liu JD; Vodencarevic A; Wong CW; Chan KK
    Life (Basel); 2022 Apr; 12(4):. PubMed ID: 35455038
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study.
    Vezzoli M; Inciardi RM; Oriecuia C; Paris S; Murillo NH; Agostoni P; Ameri P; Bellasi A; Camporotondo R; Canale C; Carubelli V; Carugo S; Catagnano F; Danzi G; Dalla Vecchia L; Giovinazzo S; Gnecchi M; Guazzi M; Iorio A; La Rovere MT; Leonardi S; Maccagni G; Mapelli M; Margonato D; Merlo M; Monzo L; Mortara A; Nuzzi V; Pagnesi M; Piepoli M; Porto I; Pozzi A; Provenzale G; Sarullo F; Senni M; Sinagra G; Tomasoni D; Adamo M; Volterrani M; Maroldi R; Metra M; Lombardi CM; Specchia C
    J Cardiovasc Med (Hagerstown); 2022 Jul; 23(7):439-446. PubMed ID: 35763764
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.
    van den Bosch T; Warps AK; de Nerée Tot Babberich MPM; Stamm C; Geerts BF; Vermeulen L; Wouters MWJM; Dekker JWT; Tollenaar RAEM; Tanis PJ; Miedema DM;
    JAMA Netw Open; 2021 Apr; 4(4):e217737. PubMed ID: 33900400
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Predicting adverse drug events in older inpatients: a machine learning study.
    Hu Q; Wu B; Wu J; Xu T
    Int J Clin Pharm; 2022 Dec; 44(6):1304-1311. PubMed ID: 36115909
    [TBL] [Abstract][Full Text] [Related]  

  • 31. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y; Wu JY; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
    Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
    J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of hospital mortality in mechanically ventilated patients with congestive heart failure using machine learning approaches.
    Li L; Zhang Z; Xiong Y; Hu Z; Liu S; Tu B; Yao Y
    Int J Cardiol; 2022 Jul; 358():59-64. PubMed ID: 35483478
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A machine learning approach to predicting 30-day mortality following paediatric cardiac surgery: findings from the Australia New Zealand Congenital Outcomes Registry for Surgery (ANZCORS).
    Betts KS; Marathe SP; Chai K; Konstantinov I; Iyengar A; Suna J; ; Venugopal P; Alphonso N
    Eur J Cardiothorac Surg; 2023 Aug; 64(2):. PubMed ID: 37084239
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
    Awad A; Bader-El-Den M; McNicholas J; Briggs J
    Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Machine learning-based mortality prediction model for heat-related illness.
    Hirano Y; Kondo Y; Hifumi T; Yokobori S; Kanda J; Shimazaki J; Hayashida K; Moriya T; Yagi M; Takauji S; Yamaguchi J; Okada Y; Okano Y; Kaneko H; Kobayashi T; Fujita M; Yokota H; Okamoto K; Tanaka H; Yaguchi A
    Sci Rep; 2021 May; 11(1):9501. PubMed ID: 33947902
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
    Vagliano I; Schut MC; Abu-Hanna A; Dongelmans DA; de Lange DW; Gommers D; Cremer OL; Bosman RJ; Rigter S; Wils EJ; Frenzel T; de Jong R; Peters MAA; Kamps MJA; Ramnarain D; Nowitzky R; Nooteboom FGCA; de Ruijter W; Urlings-Strop LC; Smit EGM; Mehagnoul-Schipper DJ; Dormans T; de Jager CPC; Hendriks SHA; Achterberg S; Oostdijk E; Reidinga AC; Festen-Spanjer B; Brunnekreef GB; Cornet AD; van den Tempel W; Boelens AD; Koetsier P; Lens J; Faber HJ; Karakus A; Entjes R; de Jong P; Rettig TCD; Reuland MC; Arbous S; Fleuren LM; Dam TA; Thoral PJ; Lalisang RCA; Tonutti M; de Bruin DP; Elbers PWG; de Keizer NF;
    Int J Med Inform; 2022 Nov; 167():104863. PubMed ID: 36162166
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn's disease in Chinese population.
    Mao J; Chao K; Jiang FL; Ye XP; Yang T; Li P; Zhu X; Hu PJ; Zhou BJ; Huang M; Gao X; Wang XD
    World J Gastroenterol; 2023 Jun; 29(24):3855-3870. PubMed ID: 37426324
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.
    Wu G; Yang P; Xie Y; Woodruff HC; Rao X; Guiot J; Frix AN; Louis R; Moutschen M; Li J; Li J; Yan C; Du D; Zhao S; Ding Y; Liu B; Sun W; Albarello F; D'Abramo A; Schininà V; Nicastri E; Occhipinti M; Barisione G; Barisione E; Halilaj I; Lovinfosse P; Wang X; Wu J; Lambin P
    Eur Respir J; 2020 Aug; 56(2):. PubMed ID: 32616597
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.