150 related articles for article (PubMed ID: 35352701)
1. Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data.
Jing B; Boscardin WJ; Deardorff WJ; Jeon SY; Lee AK; Donovan AL; Lee SJ
Med Care; 2022 Jun; 60(6):470-479. PubMed ID: 35352701
[TBL] [Abstract][Full Text] [Related]
2. Do functional status and Medicare claims data improve the predictive accuracy of an electronic health record mortality index? Findings from a national Veterans Affairs cohort.
Deardorff WJ; Jing B; Jeon SY; Boscardin WJ; Lee AK; Fung KZ; Lee SJ
BMC Geriatr; 2022 May; 22(1):434. PubMed ID: 35585537
[TBL] [Abstract][Full Text] [Related]
3. Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality.
Kanwal F; Taylor TJ; Kramer JR; Cao Y; Smith D; Gifford AL; El-Serag HB; Naik AD; Asch SM
JAMA Netw Open; 2020 Nov; 3(11):e2023780. PubMed ID: 33141161
[TBL] [Abstract][Full Text] [Related]
4. Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.
Desai RJ; Wang SV; Vaduganathan M; Evers T; Schneeweiss S
JAMA Netw Open; 2020 Jan; 3(1):e1918962. PubMed ID: 31922560
[TBL] [Abstract][Full Text] [Related]
5. Improved cardiovascular risk prediction using nonparametric regression and electronic health record data.
Kennedy EH; Wiitala WL; Hayward RA; Sussman JB
Med Care; 2013 Mar; 51(3):251-8. PubMed ID: 23269109
[TBL] [Abstract][Full Text] [Related]
6. Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records.
Hussan H; Zhao J; Badu-Tawiah AK; Stanich P; Tabung F; Gray D; Ma Q; Kalady M; Clinton SK
PLoS One; 2022; 17(3):e0265209. PubMed ID: 35271664
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of sex-specific hip fracture prediction models using electronic health records: a retrospective, population-based cohort study.
Li GH; Cheung CL; Tan KC; Kung AW; Kwok TC; Lau WC; Wong JS; Hsu WWQ; Fang C; Wong IC
EClinicalMedicine; 2023 Apr; 58():101876. PubMed ID: 36896245
[TBL] [Abstract][Full Text] [Related]
8. Postoperative delirium prediction using machine learning models and preoperative electronic health record data.
Bishara A; Chiu C; Whitlock EL; Douglas VC; Lee S; Butte AJ; Leung JM; Donovan AL
BMC Anesthesiol; 2022 Jan; 22(1):8. PubMed ID: 34979919
[TBL] [Abstract][Full Text] [Related]
9. Does machine learning improve prediction of VA primary care reliance?
Wong ES; Schuttner L; Reddy A
Am J Manag Care; 2020 Jan; 26(1):40-44. PubMed ID: 31951358
[TBL] [Abstract][Full Text] [Related]
10. Predicting Life Expectancy to Target Cancer Screening Using Electronic Health Record Clinical Data.
Lee AK; Jing B; Jeon SY; Boscardin WJ; Lee SJ
J Gen Intern Med; 2022 Feb; 37(3):499-506. PubMed ID: 34327653
[TBL] [Abstract][Full Text] [Related]
11. Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.
Khera R; Haimovich J; Hurley NC; McNamara R; Spertus JA; Desai N; Rumsfeld JS; Masoudi FA; Huang C; Normand SL; Mortazavi BJ; Krumholz HM
JAMA Cardiol; 2021 Jun; 6(6):633-641. PubMed ID: 33688915
[TBL] [Abstract][Full Text] [Related]
12. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
Yuan Q; Cai T; Hong C; Du M; Johnson BE; Lanuti M; Cai T; Christiani DC
JAMA Netw Open; 2021 Jul; 4(7):e2114723. PubMed ID: 34232304
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Automated computerized intensive care unit severity of illness measure in the Department of Veterans Affairs: preliminary results. SISVistA Investigators. Scrutiny of ICU Severity Veterans Health Sysyems Technology Architecture.
Render ML; Welsh DE; Kollef M; Lott JH; Hui S; Weinberger M; Tsevat J; Hayward RA; Hofer TP
Crit Care Med; 2000 Oct; 28(10):3540-6. PubMed ID: 11057814
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction.
Matheny ME; Ricket I; Goodrich CA; Shah RU; Stabler ME; Perkins AM; Dorn C; Denton J; Bray BE; Gouripeddi R; Higgins J; Chapman WW; MacKenzie TA; Brown JR
JAMA Netw Open; 2021 Jan; 4(1):e2035782. PubMed ID: 33512518
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Machine-learning Models Predict 30-Day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.
Abraham VM; Booth G; Geiger P; Balazs GC; Goldman A
Clin Orthop Relat Res; 2022 Nov; 480(11):2137-2145. PubMed ID: 35767804
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.
Parikh RB; Manz C; Chivers C; Regli SH; Braun J; Draugelis ME; Schuchter LM; Shulman LN; Navathe AS; Patel MS; O'Connor NR
JAMA Netw Open; 2019 Oct; 2(10):e1915997. PubMed ID: 31651973
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]