299 related articles for article (PubMed ID: 34989686)
1. Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
Zeng S; Arjomandi M; Tong Y; Liao ZC; Luo G
J Med Internet Res; 2022 Jan; 24(1):e28953. PubMed ID: 34989686
[TBL] [Abstract][Full Text] [Related]
2. Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
Zeng S; Arjomandi M; Luo G
JMIR Med Inform; 2022 Feb; 10(2):e33043. PubMed ID: 35212634
[TBL] [Abstract][Full Text] [Related]
3. Predicting Severe Chronic Obstructive Pulmonary Disease Exacerbations. Developing a Population Surveillance Approach with Administrative Data.
Tavakoli H; Chen W; Sin DD; FitzGerald JM; Sadatsafavi M
Ann Am Thorac Soc; 2020 Sep; 17(9):1069-1076. PubMed ID: 32383971
[No Abstract] [Full Text] [Related]
4. Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning - Based on the ARCTIC Study.
Ställberg B; Lisspers K; Larsson K; Janson C; Müller M; Łuczko M; Kjøller Bjerregaard B; Bacher G; Holzhauer B; Goyal P; Johansson G
Int J Chron Obstruct Pulmon Dis; 2021; 16():677-688. PubMed ID: 33758504
[TBL] [Abstract][Full Text] [Related]
5. Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation.
Bonomo M; Hermsen MG; Kaskovich S; Hemmrich MJ; Rojas JC; Carey KA; Venable LR; Churpek MM; Press VG
Int J Chron Obstruct Pulmon Dis; 2022; 17():2701-2709. PubMed ID: 36299799
[TBL] [Abstract][Full Text] [Related]
6. Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study.
Wu CT; Li GH; Huang CT; Cheng YC; Chen CH; Chien JY; Kuo PH; Kuo LC; Lai F
JMIR Mhealth Uhealth; 2021 May; 9(5):e22591. PubMed ID: 33955840
[TBL] [Abstract][Full Text] [Related]
7. The Acute COPD Exacerbation Prediction Tool (ACCEPT): a modelling study.
Adibi A; Sin DD; Safari A; Johnson KM; Aaron SD; FitzGerald JM; Sadatsafavi M
Lancet Respir Med; 2020 Oct; 8(10):1013-1021. PubMed ID: 32178776
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a predictive model to identify patients at risk of severe COPD exacerbations using administrative claims data.
Annavarapu S; Goldfarb S; Gelb M; Moretz C; Renda A; Kaila S
Int J Chron Obstruct Pulmon Dis; 2018; 13():2121-2130. PubMed ID: 30022818
[TBL] [Abstract][Full Text] [Related]
9. External Validation of a COPD Risk Measure in a Commercial and Medicare Population: The COPD Treatment Ratio.
Stanford RH; Lau MS; Li Y; Stemkowski S
J Manag Care Spec Pharm; 2019 Jan; 25(1):58-69. PubMed ID: 30589629
[TBL] [Abstract][Full Text] [Related]
10. Predicting Acute Exacerbations in Chronic Obstructive Pulmonary Disease.
Samp JC; Joo MJ; Schumock GT; Calip GS; Pickard AS; Lee TA
J Manag Care Spec Pharm; 2018 Mar; 24(3):265-279. PubMed ID: 29485951
[TBL] [Abstract][Full Text] [Related]
11. A score to predict short-term risk of COPD exacerbations (SCOPEX).
Make BJ; Eriksson G; Calverley PM; Jenkins CR; Postma DS; Peterson S; Östlund O; Anzueto A
Int J Chron Obstruct Pulmon Dis; 2015; 10():201-9. PubMed ID: 25670896
[TBL] [Abstract][Full Text] [Related]
12. Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System.
Shah SA; Velardo C; Farmer A; Tarassenko L
J Med Internet Res; 2017 Mar; 19(3):e69. PubMed ID: 28270380
[TBL] [Abstract][Full Text] [Related]
13. COPD management costs according to the frequency of COPD exacerbations in UK primary care.
Punekar YS; Shukla A; Müllerova H
Int J Chron Obstruct Pulmon Dis; 2014; 9():65-73. PubMed ID: 24426781
[TBL] [Abstract][Full Text] [Related]
14. Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study.
Tong Y; Messinger AI; Wilcox AB; Mooney SD; Davidson GH; Suri P; Luo G
J Med Internet Res; 2021 Apr; 23(4):e22796. PubMed ID: 33861206
[TBL] [Abstract][Full Text] [Related]
15. A clinical prediction model for hospitalized COPD exacerbations based on "treatable traits".
Yii ACA; Loh CH; Tiew PY; Xu H; Taha AAM; Koh J; Tan J; Lapperre TS; Anzueto A; Tee AKH
Int J Chron Obstruct Pulmon Dis; 2019; 14():719-728. PubMed ID: 30988606
[TBL] [Abstract][Full Text] [Related]
16. Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis.
Luo G; He S; Stone BL; Nkoy FL; Johnson MD
JMIR Med Inform; 2020 Jan; 8(1):e16080. PubMed ID: 31961332
[TBL] [Abstract][Full Text] [Related]
17. Multidimensional Frailty Instruments Can Predict Acute Exacerbations Within One Year in Patients with Stable Chronic Obstructive Pulmonary Disease: A Retrospective Longitudinal Study.
Wei L; Li P; Liu X; Wang Y; Tang Z; Zhao H; Yu L; Li K; Li J; Du M; Chen X; Zheng X; Zheng Y; Luo Y; Chen J; Jiang X; Chen X; Long H
Int J Chron Obstruct Pulmon Dis; 2024; 19():859-871. PubMed ID: 38596204
[TBL] [Abstract][Full Text] [Related]
18. Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data.
Orchard P; Agakova A; Pinnock H; Burton CD; Sarran C; Agakov F; McKinstry B
J Med Internet Res; 2018 Sep; 20(9):e263. PubMed ID: 30249589
[TBL] [Abstract][Full Text] [Related]
19. Effect of tele health care on exacerbations and hospital admissions in patients with chronic obstructive pulmonary disease: a randomized clinical trial.
Ringbæk T; Green A; Laursen LC; Frausing E; Brøndum E; Ulrik CS
Int J Chron Obstruct Pulmon Dis; 2015; 10():1801-8. PubMed ID: 26366072
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based prediction of in-hospital mortality in patients with pneumonic chronic obstructive pulmonary disease exacerbations.
Yu L; Ruan X; Huang W; Huang N; Zeng J; He J; He R; Yang K
J Asthma; 2024 Mar; 61(3):212-221. PubMed ID: 37738216
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
