These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Time-Series Approaches for Forecasting the Number of Hospital Daily Discharged Inpatients. Ting Zhu ; Li Luo ; Xinli Zhang ; Yingkang Shi ; Wenwu Shen IEEE J Biomed Health Inform; 2017 Mar; 21(2):515-526. PubMed ID: 28055928 [TBL] [Abstract][Full Text] [Related]
4. Combining machine learning and optimization for the operational patient-bed assignment problem. Schäfer F; Walther M; Grimm DG; Hübner A Health Care Manag Sci; 2023 Dec; 26(4):785-806. PubMed ID: 38015289 [TBL] [Abstract][Full Text] [Related]
5. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study. Cheng HY; Wu YC; Lin MH; Liu YL; Tsai YY; Wu JH; Pan KH; Ke CJ; Chen CM; Liu DP; Lin IF; Chuang JH J Med Internet Res; 2020 Aug; 22(8):e15394. PubMed ID: 32755888 [TBL] [Abstract][Full Text] [Related]
6. Machine learning based forecast for the prediction of inpatient bed demand. Tello M; Reich ES; Puckey J; Maff R; Garcia-Arce A; Bhattacharya BS; Feijoo F BMC Med Inform Decis Mak; 2022 Mar; 22(1):55. PubMed ID: 35236345 [TBL] [Abstract][Full Text] [Related]
7. A unified machine learning approach to time series forecasting applied to demand at emergency departments. Vollmer MAC; Glampson B; Mellan T; Mishra S; Mercuri L; Costello C; Klaber R; Cooke G; Flaxman S; Bhatt S BMC Emerg Med; 2021 Jan; 21(1):9. PubMed ID: 33461485 [TBL] [Abstract][Full Text] [Related]
8. Real-time prediction of inpatient length of stay for discharge prioritization. Barnes S; Hamrock E; Toerper M; Siddiqui S; Levin S J Am Med Inform Assoc; 2016 Apr; 23(e1):e2-e10. PubMed ID: 26253131 [TBL] [Abstract][Full Text] [Related]
9. How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis. Castro LA; Shelley CD; Osthus D; Michaud I; Mitchell J; Manore CA; Del Valle SY JMIR Public Health Surveill; 2021 Jun; 7(6):e27888. PubMed ID: 34003763 [TBL] [Abstract][Full Text] [Related]
10. An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression. Peláez-Rodríguez C; Torres-López R; Pérez-Aracil J; López-Laguna N; Sánchez-Rodríguez S; Salcedo-Sanz S Comput Methods Programs Biomed; 2024 Mar; 245():108033. PubMed ID: 38278030 [TBL] [Abstract][Full Text] [Related]
11. Online dynamic ensemble deep random vector functional link neural network for forecasting. Gao R; Li R; Hu M; Suganthan PN; Yuen KF Neural Netw; 2023 Sep; 166():51-69. PubMed ID: 37480769 [TBL] [Abstract][Full Text] [Related]
12. Forecasting Corn Yield With Machine Learning Ensembles. Shahhosseini M; Hu G; Archontoulis SV Front Plant Sci; 2020; 11():1120. PubMed ID: 32849688 [TBL] [Abstract][Full Text] [Related]
13. Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders. Karhade AV; Ogink P; Thio Q; Broekman M; Cha T; Gormley WB; Hershman S; Peul WC; Bono CM; Schwab JH Neurosurg Focus; 2018 Nov; 45(5):E6. PubMed ID: 30453463 [TBL] [Abstract][Full Text] [Related]
14. Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm. Di Nunno F; de Marinis G; Granata F Sci Rep; 2023 Apr; 13(1):7036. PubMed ID: 37120698 [TBL] [Abstract][Full Text] [Related]
15. Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care. Safavi KC; Khaniyev T; Copenhaver M; Seelen M; Zenteno Langle AC; Zanger J; Daily B; Levi R; Dunn P JAMA Netw Open; 2019 Dec; 2(12):e1917221. PubMed ID: 31825503 [TBL] [Abstract][Full Text] [Related]
16. Learning models for forecasting hospital resource utilization for COVID-19 patients in Canada. Zhang J; Pathak HS; Snowdon A; Greiner R Sci Rep; 2022 May; 12(1):8751. PubMed ID: 35610273 [TBL] [Abstract][Full Text] [Related]
17. Identifying inpatient mortality in MarketScan claims data using machine learning. Xie F; Beukelman T; Sun D; Yun H; Curtis JR Pharmacoepidemiol Drug Saf; 2023 Nov; 32(11):1299-1305. PubMed ID: 37344984 [TBL] [Abstract][Full Text] [Related]
18. Three-Month Real-Time Dengue Forecast Models: An Early Warning System for Outbreak Alerts and Policy Decision Support in Singapore. Shi Y; Liu X; Kok SY; Rajarethinam J; Liang S; Yap G; Chong CS; Lee KS; Tan SS; Chin CK; Lo A; Kong W; Ng LC; Cook AR Environ Health Perspect; 2016 Sep; 124(9):1369-75. PubMed ID: 26662617 [TBL] [Abstract][Full Text] [Related]
19. Impact of inpatient Care in Emergency Department on outcomes: a quasi-experimental cohort study. Lateef A; Lee SH; Fisher DA; Goh WP; Han HF; Segara UC; Sim TB; Mahadehvan M; Goh KT; Cheah N; Lim AYT; Phan PH; Merchant RA BMC Health Serv Res; 2017 Aug; 17(1):555. PubMed ID: 28806942 [TBL] [Abstract][Full Text] [Related]
20. Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study. Kakarmath S; Golas S; Felsted J; Kvedar J; Jethwani K; Agboola S JMIR Res Protoc; 2018 Sep; 7(9):e176. PubMed ID: 30181113 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]