Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11505, first published .
Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data

Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data

Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data

Journals

  1. Baltaxe E, Czypionka T, Kraus M, Reiss M, Askildsen J, Grenkovic R, Lindén T, Pitter J, Rutten-van Molken M, Solans O, Stokes J, Struckmann V, Roca J, Cano I. Digital Health Transformation of Integrated Care in Europe: Overarching Analysis of 17 Integrated Care Programs. Journal of Medical Internet Research 2019;21(9):e14956 View
  2. Hendrich A, Bufalino A, Groves C. Validation of the Hendrich II Fall Risk Model: The imperative to reduce modifiable risk factors. Applied Nursing Research 2020;53:151243 View
  3. Walker K, Jiarpakdee J, Loupis A, Tantithamthavorn C, Joe K, Ben-Meir M, Akhlaghi H, Hutton J, Wang W, Stephenson M, Blecher G, Buntine P, Sweeny A, Turhan B. Predicting Ambulance Patient Wait Times: A Multicenter Derivation and Validation Study. Annals of Emergency Medicine 2021;78(1):113 View