BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 36363525)

  • 41. Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.
    Ruan Y; Bellot A; Moysova Z; Tan GD; Lumb A; Davies J; van der Schaar M; Rea R
    Diabetes Care; 2020 Jul; 43(7):1504-1511. PubMed ID: 32350021
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach.
    Park JY; Hsu TC; Hu JR; Chen CY; Hsu WT; Lee M; Ho J; Lee CC
    J Med Internet Res; 2022 Apr; 24(4):e29982. PubMed ID: 35416785
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Parsimonious machine learning models to predict resource use in cardiac surgery across a statewide collaborative.
    Verma A; Sanaiha Y; Hadaya J; Maltagliati AJ; Tran Z; Ramezani R; Shemin RJ; Benharash P;
    JTCVS Open; 2022 Sep; 11():214-228. PubMed ID: 36172420
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Prediction algorithm for ICU mortality and length of stay using machine learning.
    Iwase S; Nakada TA; Shimada T; Oami T; Shimazui T; Takahashi N; Yamabe J; Yamao Y; Kawakami E
    Sci Rep; 2022 Jul; 12(1):12912. PubMed ID: 35902633
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study.
    Tsai SF; Yang CT; Liu WJ; Lee CL
    EClinicalMedicine; 2023 Apr; 58():101934. PubMed ID: 37090441
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients.
    Wang K; Yan LZ; Li WZ; Jiang C; Wang NN; Zheng Q; Dong NG; Shi JW
    Front Cardiovasc Med; 2022; 9():863642. PubMed ID: 35800164
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A machine learning-based framework to identify type 2 diabetes through electronic health records.
    Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
    Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Application of machine learning models in predicting length of stay among healthcare workers in underserved communities in South Africa.
    Moyo S; Doan TN; Yun JA; Tshuma N
    Hum Resour Health; 2018 Dec; 16(1):68. PubMed ID: 30545374
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Predicting the recurrence of spontaneous intracerebral hemorrhage using a machine learning model.
    Cui C; Lan J; Lao Z; Xia T; Long T
    Front Neurol; 2024; 15():1407014. PubMed ID: 38841700
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis-Treated Patients Using Stacked Generalization: Model Development and Validation Study.
    Kong G; Wu J; Chu H; Yang C; Lin Y; Lin K; Shi Y; Wang H; Zhang L
    JMIR Med Inform; 2021 May; 9(5):e17886. PubMed ID: 34009135
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Diabetes, hypertension, and cardiovascular disease development.
    Yen FS; Wei JC; Chiu LT; Hsu CC; Hwu CM
    J Transl Med; 2022 Jan; 20(1):9. PubMed ID: 34980154
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study.
    Feng W; Wu H; Ma H; Tao Z; Xu M; Zhang X; Lu S; Wan C; Liu Y
    J Am Med Inform Assoc; 2024 Jan; 31(2):445-455. PubMed ID: 38062850
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Impact of type 2 diabetes mellitus on left ventricular diastolic function in patients with essential hypertension: evaluation by volume-time curve of cardiac magnetic resonance.
    Yan WF; Gao Y; Zhang Y; Guo YK; Wang J; Jiang L; Li Y; Yang ZG
    Cardiovasc Diabetol; 2021 Mar; 20(1):73. PubMed ID: 33766020
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
    Kitcharanant N; Chotiyarnwong P; Tanphiriyakun T; Vanitcharoenkul E; Mahaisavariya C; Boonyaprapa W; Unnanuntana A
    BMC Geriatr; 2022 May; 22(1):451. PubMed ID: 35610589
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach.
    Gopukumar D; Ghoshal A; Zhao H
    JMIR Med Inform; 2022 Aug; 10(8):e37578. PubMed ID: 35896038
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia.
    Xu Z; Guo K; Chu W; Lou J; Chen C
    Front Bioeng Biotechnol; 2022; 10():903426. PubMed ID: 35845426
    [No Abstract]   [Full Text] [Related]  

  • 58. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
    Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
    Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation.
    Du Z; Yang Y; Zheng J; Li Q; Lin D; Li Y; Fan J; Cheng W; Chen XH; Cai Y
    JMIR Med Inform; 2020 Jul; 8(7):e17257. PubMed ID: 32628616
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Comparative Analysis of the Ability of Machine Learning Models in Predicting In-hospital Postoperative Outcomes After Total Hip Arthroplasty.
    El-Othmani MM; Zalikha AK; Shah RP
    J Am Acad Orthop Surg; 2022 Oct; 30(20):e1337-e1347. PubMed ID: 35947826
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.