Research graph
References from Predicting first falls among older adults with chronic conditions and polypharmacy using routinely collected health records. Local targets link to admitted publications; unresolved targets remain external evidence.
Evaluación económica de un programa de coordinación entre niveles para el manejo de pacientes crónicos complejos
10.1016/j.aprim.2014.05.002 · 2015 · External reference
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
10.1186/s12909-023-04698-z · 2023 · External reference
Unresolved reference
2015 · External reference
Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
10.1007/s00415-022-11251-3 · 2023 · External reference
Explicit criteria for determining inappropriate medication use in nursing home residents. UCLA Division of Geriatric Medicine
10.1001/archinte.1991.00400090107019 · 1991 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Medication adherence: WHO cares?
10.4065/mcp.2010.0575 · 2011 · External reference
Interventions for preventing falls in older people in care facilities and hospitals
10.1002/14651858.cd005465.pub4 · 2018 · External reference
A systematic literature review of factors affecting outcome in older medical patients admitted to hospital
10.1093/ageing/afh036 · 2004 · External reference
The harms of class imbalance corrections for machine learning based prediction models: a simulation study
10.1002/sim.10320 · 2025 · External reference
Analysis of android device-based solutions for fall detection
10.3390/s150817827 · 2015 · External reference
Polypharmacy, hospitalization, and mortality risk: a nationwide cohort study
10.1038/s41598-020-75888-8 · 2020 · External reference
Unresolved reference
2016 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Unresolved reference
2006 · External reference
GATEKEEPER’s strategy for the multinational large-scale piloting of an eHealth platform: tutorial on how to identify relevant settings and use cases
10.2196/42187 · 2023 · External reference
Drug-related falls in older patients: implicated drugs, consequences, and possible prevention strategies
10.1177/2042098613486829 · 2013 · External reference
Fall-risk-increasing drugs: a systematic review and meta-analysis: I. Cardiovascular drugs
10.1016/j.jamda.2017.12.013 · 2018 · External reference
Risk factors for falls in older people in nursing homes and hospitals. A systematic review and meta-analysis
10.1016/j.archger.2012.12.006 · 2013 · External reference
A hospital wide predictive model for unplanned readmission using hierarchical ICD data
10.1016/j.cmpb.2019.02.007 · 2019 · External reference
Logistic regression models
10.1016/j.aller.2011.05.002 · 2011 · External reference
Development and internal validation of a risk prediction model for falls among older people using primary care electronic health records
10.1093/gerona/glab311 · 2022 · External reference
A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data
10.1093/ageing/afae131 · 2024 · External reference
Overworked health workers are “past the point of exhaustion”
10.1503/cmaj.1096042 · 2023 · External reference
Unresolved reference
2010 · External reference
Using real-world data for coverage and payment decisions: the ISPOR real-world data task force report
10.1111/j.1524-4733.2007.00186.x · 2007 · External reference
Polypharmacy cutoff and outcomes: five or more medicines were used to identify community-dwelling older men at risk of different adverse outcomes
10.1016/j.jclinepi.2012.02.018 · 2012 · External reference
Predicting fall risk in older adults: a machine learning comparison of accelerometric and non-accelerometric factors
10.1177/20552076251331752 · 2025 · External reference
Unresolved reference
2012 · External reference
Adverse drug events in high risk older outpatients
10.1111/j.1532-5415.1997.tb02964.x · 1997 · External reference
Underreporting of fall injuries of older adults: implications for wellness visit fall risk screening
10.1111/jgs.15360 · 2018 · External reference
Application of machine learning in predicting hospital readmissions: a scoping review of the literature
10.1186/s12874-021-01284-z · 2021 · External reference
Unresolved reference
2019 · External reference
Ecological gait as a fall indicator in older adults: a systematic review
10.1093/geront/gnz113 · 2020 · External reference
Emerging digital technologies used for fall detection in older adults in aged care: a scoping review
10.1016/j.jamda.2024.105330 · 2025 · External reference
Development and validation of an algorithm to assess risk of first-time falling among home care clients
10.1186/s12877-019-1300-2 · 2019 · External reference
Unresolved reference
External reference
Older people living alone: a predictive model of fall risk
10.3390/ijerph20136284 · 2023 · External reference
On the relationship between classical grid search and probabilistic roadmaps
10.1177/0278364904045481 · 2004 · External reference
Caídas en el anciano
10.1016/j.medcli.2008.12.029 · 2009 · External reference
Clinical implementation of predictive models embedded within electronic health record systems: a systematic review
10.3390/informatics7030025 · 2020 · External reference
Using machine learning on home health care assessments to predict fall risk
10.3233/shti190310 · 2019 · External reference
Prediction of fall risk among community-dwelling older adults using a wearable system
10.1038/s41598-021-00458-5 · 2021 · External reference
Improving prediction of fall risk among nursing home residents using electronic medical records
10.1093/jamia/ocv061 · 2016 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2025 · External reference
10.1007/978-1-4419-9863-7_209
10.1007/978-1-4419-9863-7_209 · 2013 · External reference
10.1057/978-1-349-95173-4
10.1057/978-1-349-95173-4 · 2017 · External reference
Machine learning techniques applied to the development of a fall risk index for older adults
10.1109/access.2023.3299489 · 2023 · External reference
Fall risk-increasing drugs and falls: a cross-sectional study among elderly patients in primary care
10.1186/1471-2318-14-40 · 2014 · External reference
Unresolved reference
2014 · External reference
Unresolved reference
External reference
Improving the classification accuracy using recursive feature elimination with cross-validation
2020 · External reference
Factors influencing continued wearable device use in older adult populations: quantitative study
10.2196/36807 · 2023 · External reference
Unresolved reference
2013 · External reference
Improving the delivery of care and reducing healthcare costs with the digitization of information
2000 · External reference
XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
10.1038/s41598-021-91797-w · 2021 · External reference
Adherencia al tratamiento en pacientes polimedicados mayores de 65 años con prescripción por principio activo
10.1016/j.aprim.2013.10.003 · 2014 · External reference
Unresolved reference
2009 · External reference
Unresolved reference
2011 · External reference
Desarrollo de un modelo de predicción de riesgo de hospitalizaciones no programadas en el País Vasco
10.4321/s1135-57272014000200007 · 2014 · External reference
Adecuación del tratamiento farmacológico en población anciana polimedicada
2002 · External reference
A risk profile for identifying community-dwelling elderly with a high risk of recurrent falling: results of a 3-year prospective study
10.1007/s00198-005-0002-0 · 2006 · External reference
Fall prediction and prevention systems: recent trends, challenges, and future research directions
10.3390/s17112509 · 2017 · External reference
Facilitators and barriers to AI adoption in nursing practice: a qualitative study of registered nurses’ perspectives
10.1186/s12912-024-02571-y · 2024 · External reference
Unresolved reference
External reference
10.1017/cbo9780511528446
10.1017/cbo9780511528446 · 1988 · External reference
Falls in older people: epidemiology, risk factors and strategies for prevention
10.1093/ageing/afl084 · 2006 · External reference
Fear of falling: measurement strategy, prevalence, risk factors and consequences among older persons
10.1093/ageing/afm169 · 2008 · External reference
A systematic review on the influence of fear of falling on quality of life in older people: is there a role for falls?
10.2147/cia.s197857 · 2019 · External reference
Unresolved reference
External reference
Evaluating the effect of activity and environment on fall risk in a paradigm-depending laboratory setting: protocol for an experimental pilot study
10.2196/46930 · 2023 · External reference
The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review
10.1186/s12877-022-02901-2 · 2022 · External reference
Tabular data: deep learning is not all you need
10.1016/j.inffus.2021.11.011 · 2022 · External reference
Comparison of XGBoost, random forest, and logistic regression algorithms in stroke disease classification
10.33395/sinkron.v9i2.14794 · 2025 · External reference
A risk model for the prediction of recurrent falls in community-dwelling elderly: a prospective cohort study
10.1016/s0895-4356(02)00502-4 · 2002 · External reference
Managing medications in clinically complex elders: “there’s got to be a happy medium”
10.1001/jama.2010.1482 · 2010 · External reference
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
10.1093/jamia/ocac093 · 2022 · External reference
Differing strategies to meet information-sharing needs: publicly supported community health information exchanges versus health systems’ enterprise health information exchanges
10.1111/1468-0009.12180 · 2016 · External reference
Pacientes polimedicados frágiles, un reto para el sistema sanitario
2011 · External reference