276 related articles for article (PubMed ID: 29383551)
1. Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study.
Sahni N; Simon G; Arora R
J Gen Intern Med; 2018 Jun; 33(6):921-928. PubMed ID: 29383551
[TBL] [Abstract][Full Text] [Related]
2. min-SIA: a Lightweight Algorithm to Predict the Risk of 6-Month Mortality at the Time of Hospital Admission.
Sahni N; Tourani R; Sullivan D; Simon G
J Gen Intern Med; 2020 May; 35(5):1413-1418. PubMed ID: 32157649
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
Rahimian F; Salimi-Khorshidi G; Payberah AH; Tran J; Ayala Solares R; Raimondi F; Nazarzadeh M; Canoy D; Rahimi K
PLoS Med; 2018 Nov; 15(11):e1002695. PubMed ID: 30458006
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.
Ye C; Wang O; Liu M; Zheng L; Xia M; Hao S; Jin B; Jin H; Zhu C; Huang CJ; Gao P; Ellrodt G; Brennan D; Stearns F; Sylvester KG; Widen E; McElhinney DB; Ling X
J Med Internet Res; 2019 Jul; 21(7):e13719. PubMed ID: 31278734
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.
Amarasingham R; Velasco F; Xie B; Clark C; Ma Y; Zhang S; Bhat D; Lucena B; Huesch M; Halm EA
BMC Med Inform Decis Mak; 2015 May; 15():39. PubMed ID: 25991003
[TBL] [Abstract][Full Text] [Related]
10. Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning.
Guo A; Mazumder NR; Ladner DP; Foraker RE
PLoS One; 2021; 16(8):e0256428. PubMed ID: 34464403
[TBL] [Abstract][Full Text] [Related]
11. Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.
Brajer N; Cozzi B; Gao M; Nichols M; Revoir M; Balu S; Futoma J; Bae J; Setji N; Hernandez A; Sendak M
JAMA Netw Open; 2020 Feb; 3(2):e1920733. PubMed ID: 32031645
[TBL] [Abstract][Full Text] [Related]
12. Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data.
Seki T; Kawazoe Y; Ohe K
PLoS One; 2021; 16(2):e0246640. PubMed ID: 33544775
[TBL] [Abstract][Full Text] [Related]
13. Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.
Samad MD; Ulloa A; Wehner GJ; Jing L; Hartzel D; Good CW; Williams BA; Haggerty CM; Fornwalt BK
JACC Cardiovasc Imaging; 2019 Apr; 12(4):681-689. PubMed ID: 29909114
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of a dynamic inpatient risk prediction model for clinically significant hypokalemia using electronic health record data.
Li Y; Staley B; Henriksen C; Xu D; Lipori G; Winterstein AG
Am J Health Syst Pharm; 2019 Feb; 76(5):301-311. PubMed ID: 30698650
[TBL] [Abstract][Full Text] [Related]
15. Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data.
Mar J; Gorostiza A; Ibarrondo O; Cernuda C; Arrospide A; Iruin Á; Larrañaga I; Tainta M; Ezpeleta E; Alberdi A
J Alzheimers Dis; 2020; 77(2):855-864. PubMed ID: 32741825
[TBL] [Abstract][Full Text] [Related]
16. 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]
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 Future Chronic Opioid Use Among Hospitalized Patients.
Calcaterra SL; Scarbro S; Hull ML; Forber AD; Binswanger IA; Colborn KL
J Gen Intern Med; 2018 Jun; 33(6):898-905. PubMed ID: 29404943
[TBL] [Abstract][Full Text] [Related]
19. Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data.
Martinez DA; Levin SR; Klein EY; Parikh CR; Menez S; Taylor RA; Hinson JS
Ann Emerg Med; 2020 Oct; 76(4):501-514. PubMed ID: 32713624
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Clinical Deterioration in Hospitalized Adult Patients with Hematologic Malignancies Using a Neural Network Model.
Hu SB; Wong DJ; Correa A; Li N; Deng JC
PLoS One; 2016; 11(8):e0161401. PubMed ID: 27532679
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]