190 related articles for article (PubMed ID: 32251471)
1. Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.
Zihni E; Madai VI; Livne M; Galinovic I; Khalil AA; Fiebach JB; Frey D
PLoS One; 2020; 15(4):e0231166. PubMed ID: 32251471
[TBL] [Abstract][Full Text] [Related]
2. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
3. Developing machine learning models to predict multi-class functional outcomes and death three months after stroke in Sweden.
Otieno JA; Häggström J; Darehed D; Eriksson M
PLoS One; 2024; 19(5):e0303287. PubMed ID: 38739586
[TBL] [Abstract][Full Text] [Related]
4. Stroke prognostication for discharge planning with machine learning: A derivation study.
Bacchi S; Oakden-Rayner L; Menon DK; Jannes J; Kleinig T; Koblar S
J Clin Neurosci; 2020 Sep; 79():100-103. PubMed ID: 33070874
[TBL] [Abstract][Full Text] [Related]
5. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
[TBL] [Abstract][Full Text] [Related]
6. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
7. Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
Karnuta JM; Navarro SM; Haeberle HS; Helm JM; Kamath AF; Schaffer JL; Krebs VE; Ramkumar PN
J Arthroplasty; 2019 Oct; 34(10):2235-2241.e1. PubMed ID: 31230954
[TBL] [Abstract][Full Text] [Related]
8. Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.
Imura T; Toda H; Iwamoto Y; Inagawa T; Imada N; Tanaka R; Inoue Y; Araki H; Araki O
J Stroke Cerebrovasc Dis; 2021 Oct; 30(10):106011. PubMed ID: 34325274
[TBL] [Abstract][Full Text] [Related]
9. Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
Charlton CE; Poon MTC; Brennan PM; Fleuriot JD
Comput Methods Programs Biomed; 2023 May; 233():107482. PubMed ID: 36947980
[TBL] [Abstract][Full Text] [Related]
10. Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.
Liu J; Xiong Y; Zhong M; Yang Y; Guo X; Tan X; Zhao B
Neurosurgery; 2020 Sep; 87(3):523-529. PubMed ID: 32171016
[TBL] [Abstract][Full Text] [Related]
11. Machine learning-based models for the prediction of breast cancer recurrence risk.
Zuo D; Yang L; Jin Y; Qi H; Liu Y; Ren L
BMC Med Inform Decis Mak; 2023 Nov; 23(1):276. PubMed ID: 38031071
[TBL] [Abstract][Full Text] [Related]
12. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.
Herrin J; Abraham NS; Yao X; Noseworthy PA; Inselman J; Shah ND; Ngufor C
JAMA Netw Open; 2021 May; 4(5):e2110703. PubMed ID: 34019087
[TBL] [Abstract][Full Text] [Related]
13. JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information.
Xie Y; Jiang B; Gong E; Li Y; Zhu G; Michel P; Wintermark M; Zaharchuk G
AJR Am J Roentgenol; 2019 Jan; 212(1):44-51. PubMed ID: 30354266
[TBL] [Abstract][Full Text] [Related]
14. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
15. Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.
Chen SD; You J; Yang XM; Gu HQ; Huang XY; Liu H; Feng JF; Jiang Y; Wang YJ
BMC Med Res Methodol; 2022 Jul; 22(1):195. PubMed ID: 35842606
[TBL] [Abstract][Full Text] [Related]
16. Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.
Gholi Zadeh Kharrat F; Gagne C; Lesage A; Gariépy G; Pelletier JF; Brousseau-Paradis C; Rochette L; Pelletier E; Lévesque P; Mohammed M; Wang J
PLoS One; 2024; 19(4):e0301117. PubMed ID: 38568987
[TBL] [Abstract][Full Text] [Related]
17. Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study.
Wen R; Wang M; Bian W; Zhu H; Xiao Y; He Q; Wang Y; Liu X; Shi Y; Hong Z; Xu B
Front Neurol; 2023; 14():1247492. PubMed ID: 37928151
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke.
Feng X; Hua Y; Zou J; Jia S; Ji J; Xing Y; Zhou J; Liao J
Neuroinformatics; 2022 Jul; 20(3):575-585. PubMed ID: 34435319
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]