228 related articles for article (PubMed ID: 35793094)
1. Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure.
Segar MW; Hall JL; Jhund PS; Powell-Wiley TM; Morris AA; Kao D; Fonarow GC; Hernandez R; Ibrahim NE; Rutan C; Navar AM; Stevens LM; Pandey A
JAMA Cardiol; 2022 Aug; 7(8):844-854. PubMed ID: 35793094
[TBL] [Abstract][Full Text] [Related]
2. Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis.
Segar MW; Jaeger BC; Patel KV; Nambi V; Ndumele CE; Correa A; Butler J; Chandra A; Ayers C; Rao S; Lewis AA; Raffield LM; Rodriguez CJ; Michos ED; Ballantyne CM; Hall ME; Mentz RJ; de Lemos JA; Pandey A
Circulation; 2021 Jun; 143(24):2370-2383. PubMed ID: 33845593
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Representativeness of a Heart Failure Trial by Race and Sex: Results From ASCEND-HF and GWTG-HF.
Greene SJ; DeVore AD; Sheng S; Fonarow GC; Butler J; Califf RM; Hernandez AF; Matsouaka RA; Samman Tahhan A; Thomas KL; Vaduganathan M; Yancy CW; Peterson ED; O'Connor CM; Mentz RJ
JACC Heart Fail; 2019 Nov; 7(11):980-992. PubMed ID: 31606362
[TBL] [Abstract][Full Text] [Related]
5. Predictive Value of the Get With The Guidelines Heart Failure Risk Score in Unselected Cardiac Intensive Care Unit Patients.
Lyle M; Wan SH; Murphree D; Bennett C; Wiley BM; Barsness G; Redfield M; Jentzer J
J Am Heart Assoc; 2020 Feb; 9(3):e012439. PubMed ID: 31986993
[TBL] [Abstract][Full Text] [Related]
6. Validation of the Get With The Guideline-Heart Failure risk score in Japanese patients and the potential improvement of its discrimination ability by the inclusion of B-type natriuretic peptide level.
Shiraishi Y; Kohsaka S; Abe T; Mizuno A; Goda A; Izumi Y; Yagawa M; Akita K; Sawano M; Inohara T; Takei M; Kohno T; Higuchi S; Yamazoe M; Mahara K; Fukuda K; Yoshikawa T;
Am Heart J; 2016 Jan; 171(1):33-9. PubMed ID: 26699598
[TBL] [Abstract][Full Text] [Related]
7. Sequential organ failure assessment score on admission predicts long-term mortality in acute heart failure patients.
Aoyama D; Morishita T; Uzui H; Miyazaki S; Ishida K; Kaseno K; Hasegawa K; Fukuoka Y; Tama N; Ikeda H; Shiomi Y; Tada H
ESC Heart Fail; 2020 Feb; 7(1):244-252. PubMed ID: 31905270
[TBL] [Abstract][Full Text] [Related]
8. Validation and Comparison of Seven Mortality Prediction Models for Hospitalized Patients With Acute Decompensated Heart Failure.
Lagu T; Pekow PS; Shieh MS; Stefan M; Pack QR; Kashef MA; Atreya AR; Valania G; Slawsky MT; Lindenauer PK
Circ Heart Fail; 2016 Aug; 9(8):. PubMed ID: 27514749
[TBL] [Abstract][Full Text] [Related]
9. Usefulness of Incorporating Hypochloremia into the Get With The Guidelines-Heart Failure Risk Model in Patients With Acute Heart Failure.
Misumi K; Matsue Y; Nogi K; Sunayama T; Dotare T; Maeda D; Kagiyama N; Kasai T; Kitai T; Oishi S; Akiyama E; Suzuki S; Yamamoto M; Kida K; Okumura T; Nogi M; Ishihara S; Ueda T; Kawakami R; Saito Y; Minamino T
Am J Cardiol; 2022 Jan; 162():122-128. PubMed ID: 34763832
[TBL] [Abstract][Full Text] [Related]
10. Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database.
Li F; Xin H; Zhang J; Fu M; Zhou J; Lian Z
BMJ Open; 2021 Jul; 11(7):e044779. PubMed ID: 34301649
[TBL] [Abstract][Full Text] [Related]
11. Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification.
Ghosh AK; Venkatraman S; Nanna MG; Safford MM; Colantonio LD; Brown TM; Pinheiro LC; Peterson ED; Navar AM; Sterling MR; Soroka O; Nahid M; Banerjee S; Goyal P
JAMA Cardiol; 2024 Jan; 9(1):55-62. PubMed ID: 38055247
[TBL] [Abstract][Full Text] [Related]
12. Value of the Neutrophils/Prealbumin Ratio and Its Combination With the GWTG-HF Score in Predicting In-Hospital Mortality in Patients With Heart Failure.
Han S; Wang C; Tong F; Li Y; Li Z; Sun Z; Sun Z
Am J Cardiol; 2022 Jun; 172():62-67. PubMed ID: 35341578
[TBL] [Abstract][Full Text] [Related]
13. Race, Social Determinants of Health, and Length of Stay Among Hospitalized Patients With Heart Failure: An Analysis From the Get With The Guidelines-Heart Failure Registry.
Segar MW; Keshvani N; Rao S; Fonarow GC; Das SR; Pandey A
Circ Heart Fail; 2022 Nov; 15(11):e009401. PubMed ID: 36378756
[TBL] [Abstract][Full Text] [Related]
14. Impact of Body Mass Index on Heart Failure by Race/Ethnicity From the Get With The Guidelines-Heart Failure (GWTG-HF) Registry.
Powell-Wiley TM; Ngwa J; Kebede S; Lu D; Schulte PJ; Bhatt DL; Yancy C; Fonarow GC; Albert MA
JACC Heart Fail; 2018 Mar; 6(3):233-242. PubMed ID: 29428434
[TBL] [Abstract][Full Text] [Related]
15. Inpatient Mortality Risk Scores and Postdischarge Events in Hospitalized Heart Failure Patients: A Community-Based Study.
Win S; Hussain I; Hebl VB; Dunlay SM; Redfield MM
Circ Heart Fail; 2017 Jul; 10(7):. PubMed ID: 28701328
[TBL] [Abstract][Full Text] [Related]
16. Validation of the Intermountain Risk Score and Get with the Guidelines-Heart Failure Score in predicting mortality.
Engelsgjerd EK; Benziger CP; Horne BD
Open Heart; 2021 Aug; 8(2):. PubMed ID: 34426528
[TBL] [Abstract][Full Text] [Related]
17. Ten-Year Risk-Prediction Equations for Incident Heart Failure Hospitalizations in Chronic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort Study and the Multi-Ethnic Study of Atherosclerosis.
Mehta R; Ning H; Bansal N; Cohen J; Srivastava A; Dobre M; Michos ED; Rahman M; Townsend R; Seliger S; Lash JP; Isakova T; Lloyd-Jones DM; Khan SS
J Card Fail; 2022 Apr; 28(4):540-550. PubMed ID: 34763078
[TBL] [Abstract][Full Text] [Related]
18. Quality of Care and Clinical Outcomes for Patients With Heart Failure at Hospitals Caring for a High Proportion of Black Adults: Get With The Guidelines-Heart Failure Registry.
Diamond J; Ayodele I; Fonarow GC; Joynt-Maddox KE; Yeh RW; Hammond G; Allen LA; Greene SJ; Chiswell K; DeVore AD; Yancy C; Wadhera RK
JAMA Cardiol; 2023 Jun; 8(6):545-553. PubMed ID: 37074702
[TBL] [Abstract][Full Text] [Related]
19. Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure.
Zhang DT; Onyebeke C; Nahid M; Balkan L; Musse M; Pinheiro LC; Sterling MR; Durant RW; Brown TM; Levitan EB; Safford MM; Goyal P
JAMA Netw Open; 2023 Nov; 6(11):e2344070. PubMed ID: 37983029
[TBL] [Abstract][Full Text] [Related]
20. Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.
Hong C; Pencina MJ; Wojdyla DM; Hall JL; Judd SE; Cary M; Engelhard MM; Berchuck S; Xian Y; D'Agostino R; Howard G; Kissela B; Henao R
JAMA; 2023 Jan; 329(4):306-317. PubMed ID: 36692561
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]