138 related articles for article (PubMed ID: 31765937)
1. Length of stay prediction for ICU patients using individualized single classification algorithm.
Ma X; Si Y; Wang Z; Wang Y
Comput Methods Programs Biomed; 2020 Apr; 186():105224. PubMed ID: 31765937
[TBL] [Abstract][Full Text] [Related]
2. Prediction algorithm for ICU mortality and length of stay using machine learning.
Iwase S; Nakada TA; Shimada T; Oami T; Shimazui T; Takahashi N; Yamabe J; Yamao Y; Kawakami E
Sci Rep; 2022 Jul; 12(1):12912. PubMed ID: 35902633
[TBL] [Abstract][Full Text] [Related]
3. Adaptive online monitoring for ICU patients by combining just-in-time learning and principal component analysis.
Li X; Wang Y
J Clin Monit Comput; 2016 Dec; 30(6):807-820. PubMed ID: 26392184
[TBL] [Abstract][Full Text] [Related]
4. Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.
Houthooft R; Ruyssinck J; van der Herten J; Stijven S; Couckuyt I; Gadeyne B; Ongenae F; Colpaert K; Decruyenaere J; Dhaene T; De Turck F
Artif Intell Med; 2015 Mar; 63(3):191-207. PubMed ID: 25579436
[TBL] [Abstract][Full Text] [Related]
5. Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma.
Staziaki PV; Wu D; Rayan JC; Santo IDO; Nan F; Maybury A; Gangasani N; Benador I; Saligrama V; Scalera J; Anderson SW
Eur Radiol; 2021 Jul; 31(7):5434-5441. PubMed ID: 33475772
[TBL] [Abstract][Full Text] [Related]
6. Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.
Daghistani TA; Elshawi R; Sakr S; Ahmed AM; Al-Thwayee A; Al-Mallah MH
Int J Cardiol; 2019 Aug; 288():140-147. PubMed ID: 30685103
[TBL] [Abstract][Full Text] [Related]
7. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
Awad A; Bader-El-Den M; McNicholas J; Briggs J
Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626
[TBL] [Abstract][Full Text] [Related]
8. Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.
Ramkumar PN; Navarro SM; Haeberle HS; Karnuta JM; Mont MA; Iannotti JP; Patterson BM; Krebs VE
J Arthroplasty; 2019 Apr; 34(4):632-637. PubMed ID: 30665831
[TBL] [Abstract][Full Text] [Related]
9. Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation.
Alghatani K; Ammar N; Rezgui A; Shaban-Nejad A
JMIR Med Inform; 2021 May; 9(5):e21347. PubMed ID: 33949961
[TBL] [Abstract][Full Text] [Related]
10. A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients.
Barsasella D; Bah K; Mishra P; Uddin M; Dhar E; Suryani DL; Setiadi D; Masturoh I; Sugiarti I; Jonnagaddala J; Syed-Abdul S
Medicina (Kaunas); 2022 Oct; 58(11):. PubMed ID: 36363525
[No Abstract] [Full Text] [Related]
11. Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach.
Alsinglawi B; Alnajjar F; Mubin O; Novoa M; Alorjani M; Karajeh O; Darwish O
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():5442-5445. PubMed ID: 33019211
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning and Primary Total Knee Arthroplasty: Patient Forecasting for a Patient-Specific Payment Model.
Navarro SM; Wang EY; Haeberle HS; Mont MA; Krebs VE; Patterson BM; Ramkumar PN
J Arthroplasty; 2018 Dec; 33(12):3617-3623. PubMed ID: 30243882
[TBL] [Abstract][Full Text] [Related]
13. Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units.
Peres IT; Hamacher S; Cyrino Oliveira FL; Bozza FA; Salluh JIF
Anaesth Crit Care Pain Med; 2022 Dec; 41(6):101142. PubMed ID: 35988701
[TBL] [Abstract][Full Text] [Related]
14. Prediction of Patient Length of Stay on the Intensive Care Unit Following Cardiac Surgery: A Logistic Regression Analysis Based on the Cardiac Operative Mortality Risk Calculator, EuroSCORE.
Meadows K; Gibbens R; Gerrard C; Vuylsteke A
J Cardiothorac Vasc Anesth; 2018 Dec; 32(6):2676-2682. PubMed ID: 29678435
[TBL] [Abstract][Full Text] [Related]
15. Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.
Juraev F; El-Sappagh S; Abdukhamidov E; Ali F; Abuhmed T
J Biomed Inform; 2022 Nov; 135():104216. PubMed ID: 36208833
[TBL] [Abstract][Full Text] [Related]
16. Diagnosis of diabetes in pregnant woman using a Chaotic-Jaya hybridized extreme learning machine model.
Debata PP; Mohapatra P
J Integr Bioinform; 2020 Aug; 18(1):81-99. PubMed ID: 32790643
[TBL] [Abstract][Full Text] [Related]
17. Using Machine Learning to Make Predictions in Patients Who Fall.
Young AJ; Hare A; Subramanian M; Weaver JL; Kaufman E; Sims C
J Surg Res; 2021 Jan; 257():118-127. PubMed ID: 32823009
[TBL] [Abstract][Full Text] [Related]
18. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.
Castiñeira D; Schlosser KR; Geva A; Rahmani AR; Fiore G; Walsh BK; Smallwood CD; Arnold JH; Santillana M
Respir Care; 2020 Sep; 65(9):1367-1377. PubMed ID: 32879034
[TBL] [Abstract][Full Text] [Related]
19. The effect of managed care on ICU length of stay: implications for medicare.
Angus DC; Linde-Zwirble WT; Sirio CA; Rotondi AJ; Chelluri L; Newbold RC; Lave JR; Pinsky MR
JAMA; 1996 Oct; 276(13):1075-82. PubMed ID: 8847771
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.
Siccoli A; de Wispelaere MP; Schröder ML; Staartjes VE
Neurosurg Focus; 2019 May; 46(5):E5. PubMed ID: 31042660
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
