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Stroke mortality prediction using machine learning: systematic review
L Schwartz, R Anteby, E Klang, S Soffer - Journal of the neurological …, 2023 - Elsevier
Background and aims Accurate prognostication of stroke may help in appropriate therapy
and rehabilitation planning. In the past few years, several machine learning (ML) algorithms …
and rehabilitation planning. In the past few years, several machine learning (ML) algorithms …
Evaluation of blood biomarkers and parameters for the prediction of stroke survivors' functional outcome upon discharge utilizing explainable machine learning
A Gkantzios, C Kokkotis, D Tsiptsios, S Moustakidis… - Diagnostics, 2023 - mdpi.com
Despite therapeutic advancements, stroke remains a leading cause of death and long-term
disability. The quality of current stroke prognostic models varies considerably, whereas …
disability. The quality of current stroke prognostic models varies considerably, whereas …
[HTML][HTML] From admission to discharge: predicting national institutes of health stroke scale progression in stroke patients using biomarkers and explainable machine …
A Gkantzios, C Kokkotis, D Tsiptsios… - Journal of Personalized …, 2023 - mdpi.com
As a result of social progress and improved living conditions, which have contributed to a
prolonged life expectancy, the prevalence of strokes has increased and has become a …
prolonged life expectancy, the prevalence of strokes has increased and has become a …
Develo** a predictive tool for hospital discharge disposition of patients poststroke with 30‐day readmission validation
After short‐term, acute‐care hospitalization for stroke, patients may be discharged home or
other facilities for continued medical or rehabilitative management. The site of postacute …
other facilities for continued medical or rehabilitative management. The site of postacute …
Prevalence of walking limitation after acute stroke and its impact on discharge to home
DR Louie, LA Simpson, WB Mortenson… - Physical …, 2022 - academic.oup.com
Objective The purpose of this study was to provide contemporary estimates of the
prevalence of lower extremity motor impairment and walking limitation after first-ever stroke …
prevalence of lower extremity motor impairment and walking limitation after first-ever stroke …
Stroke prognostication for discharge planning with machine learning: A derivation study
S Bacchi, L Oakden-Rayner, DK Menon… - Journal of Clinical …, 2020 - Elsevier
Post-stroke discharge planning may be aided by accurate early prognostication. Machine
learning may be able to assist with such prognostication. The study's primary aim was to …
learning may be able to assist with such prognostication. The study's primary aim was to …
[HTML][HTML] Subarachnoid hemorrhage “fast track”: a health economics and health care redesign approach for early selected hospital discharge
CI Collins, TF Hasan, LH Mooney, JL Talbot… - … : Innovations, Quality & …, 2020 - Elsevier
Objective To determine whether earlier hospital discharge is feasible and safe in selected
patients with subarachnoid hemorrhage (SAH) using an outpatient “fast-track” protocol …
patients with subarachnoid hemorrhage (SAH) using an outpatient “fast-track” protocol …
Association of vulnerability screening on hospital admission with discharge to rehabilitation-oriented care after acute hospital stay
AJ de Groot, EM Wattel, R van Balen… - Annals of geriatric …, 2023 - pmc.ncbi.nlm.nih.gov
Background The short Dutch Safety Management Screening (DSMS) is applied at hospital
admission of all patients aged> 70 years to assess vulnerability. Screening of four geriatric …
admission of all patients aged> 70 years to assess vulnerability. Screening of four geriatric …
Predicting post-stroke hospital discharge disposition using interpretable machine learning approaches
Stroke is the fifth leading cause of death for Americans. Due to critical consequences and
cost, an efficient stroke system of care (ie, acute treatment, post-stroke acute rehabilitation) is …
cost, an efficient stroke system of care (ie, acute treatment, post-stroke acute rehabilitation) is …
Effect of early nutritional initiation on post‐cerebral infarction discharge destination: A propensity‐matched analysis using machine learning
K Ikezawa, M Hirose, T Maruyama, K Yuji… - Nutrition & …, 2022 - Wiley Online Library
Aim Malnutrition is associated with poor outcomes in cerebral infarction patients, with
research indicating that early nutritional initiation may improve the short‐term prognosis of …
research indicating that early nutritional initiation may improve the short‐term prognosis of …