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Gagliardi C, Corsonello A, Di Rosa M, Fabbietti P, Cherubini A, Mercante O, Mazzei B, Postacchini D, Deales A, Bustacchini S et al..  2018.  Preadmission Functional Decline Predicts Functional Improvement Among Older Patients Admitted to Acute Care Hospital. The journals of gerontology. Series A, Biological sciences and medical sciences. 73(10):1363-1369.
Finne-Soveri U.H, Tilvis R.S.  1999.  Predictability of death in end-stage dementia: Patient characteristics and work-load associated with the condition. International Journal of Geriatric Psychopharmacology. 2(1):5-9.
Morandi A, Zambon A, Crippa M, Re M, Riva L, Lombardi F, Mazzola P, Scaccabarozzi G, Bellelli G.  2024.  Predicting 60-Day Mortality in a Home-Care Service: Development of a New Inter-RAI 49-Frailty Index in Patients with Chronic Disease and without a Cancer Diagnosis. Journal of the American Medical Directors Association. 25(3):521-525.
Sinn C.L, Tran J., Pauley T., Hirdes J..  2016.  Predicting Adverse Outcomes After Discharge From Complex Continuing Care Hospital Settings to the Community. Prof Case Manag. 21(3):127-36;quizE3-4.
Scaccabarozzi G, Palmer K, Onder G, Pellegrini G, Crippa M, Colombo COnorina, Lombardi F, Beretta G, Bernabei R.  2020.  Predicting care intensity in geriatric home care patients: a comparison of different measures. Aging clinical and experimental research. 32(2):281-287.
Jerez-Roig J, Moreira FSueli Mont, da Câmara SMaria Aire, Ferreira LMaria de B, Lima KCosta.  2019.  Predicting continence decline in institutionalized older people: A longitudinal analysis. Neurourology and Urodynamics. 38(3):958-967.
Hsu AT, Manuel DG, Spruin S, Bennett C, Taljaard M, Beach S, Sequeira Y, Talarico R, Chalifoux M, Kobewka D et al..  2021.  Predicting death in home care users: derivation and validation of the Risk Evaluation for Support: Predictions for Elder-Life in the Community Tool (RESPECT). CMAJ. 193(26):E997-E1005.
Mehr D.R, Williams B.C, Fries B.E.  1997.  Predicting discharge outcomes of VA nursing home residents. Journal of Aging & Health. 9(2):244-65.
Heckman GA, Hirdes JP, Hébert PC, Morinville A, Amaral ACKB, Costa A, McKelvie RS.  2019.  Predicting Future Health Transitions Among Newly Admitted Nursing Home Residents With Heart Failure. Journal of the American Medical Directors Association. 20(4):438-443.
Tjam EY, Heckman GA, Smith S, Arai B, Hirdes J, Poss J, McKelvie RS.  2012.  Predicting heart failure mortality in frail seniors: Comparing the NYHA functional classification with the Resident Assessment Instrument (RAI) 2.0. International Journal of Cardiology. 155(1):75-80.
Tjam EY, Heckman GA, Smith S, Arai B, Hirdes JP, Poss J, McKelvie RS.  2011.  Predicting heart failure mortality in frail seniors: Comparing the NYHA functional classification with the Resident Assessment Instrument (RAI) 2.0. Int J Cardiol.
Mowbray F, Zargoush M, Jones A, de Wit K, Costa A.  2020.  Predicting hospital admission for older emergency department patients: Insights from machine learning. International Journal of Medical Informatics. 140:104163.
Ismail Z., Arenovich T., Grieve C., Willett P., Sajeev G., Mamo D.C, MacQueen G.M, Mulsant B.H.  2012.  Predicting Hospital Length of Stay for Geriatric Patients With Mood Disorders. Canadian Journal of Psychiatry-Revue Canadienne De Psychiatrie. 57(11):696-703.
Neufeld E, Perlman CM, Hirdes JP.  2012.  Predicting inpatient aggression using the interRAI risk of harm to others clinical assessment protocol. The journal of behavioral health services & research. 39(4):472-480.
Neufeld E., Perlman C.M, Hirdes J.P.  2012.  Predicting inpatient aggression using the InterRAI risk of harm to others clinical assessment protocol: a tool for risk assessment and care planning. J Behav Health Serv Res. 39(4):472-80.
Stewart S.L, Kam C., Baiden P..  2014.  Predicting length of stay and readmission for psychiatric inpatient youth admitted to adult mental health beds in Ontario, Canada. Child and Adolescent Mental Health. 19(2):115-121.
Stewart SL, Kam C, Baiden P.  2013.  Predicting length of stay and readmission for psychiatric inpatient youth admitted to adult mental health beds in Ontario, Canada. Child and Adolescent Mental Health. :n/a-n/a.
Chen L-K, Peng L-N, Lin M-H, Lai H-Y, Hwang S-J, Lan C-F.  2010.  Predicting mortality of older residents in long-term care facilities: comorbidity or care problems? Journal of the American Medical Directors Association. 11(8):567-571.
James M.L, Wiley E., Fries B.E.  2007.  Predicting nursing facility transition candidates using AID: a case study. Gerontologist. 47(5):625-32.
Ljunggren G, Brandt L.  1996.  Predicting Nursing Home Length of Stay and Outcome with a Resource-Based Classification System. International Journal of Technology Assessment in Health Care. 12(1):72-79.
Williams B.C, Li Y., Fries B.E, Warren R.L.  1997.  Predicting patient scores between the functional independence measure and the minimum data set: development and performance of a FIM-MDS "crosswalk". Arch Phys Med Rehabil. 78(1):48-54.
Williams B.C, Li Y., Fries B.E, Warren R.L.  1997.  Predicting patient scores between the functional independence measure and the minimum data set: development and performance of a FIM-MDS "crosswalk".[erratum appears in Arch Phys Med Rehabil 1998 Feb;79(2):231]. Archives of Physical Medicine & Rehabilitation. 78(1):48-54.
Morris J.N, Howard E.P, Steel K., Schreiber R., Fries B.E, Lipsitz L.A, Goldman B..  2014.  Predicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data. BMC Health Serv Res. 14:519.
King GKC, Van Dyke JN, Poss JW, Stewart SL.  2022.  Predicting Service Urgency in Children and Youth with ASD: The Development of an Algorithm. Journal of the American Academy of Child & Adolescent Psychiatry. 61(10, Supplement):S237.
Stewart SL, King GKC, Van Dyke JN, Poss JW.  2023.  Predicting Service Urgency in Children and Youth with Autism Spectrum Disorder: The Development of an Algorithm. Journal of Psychiatry and Psychiatric Disorders. 7:210-222.