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KATAN M., LUFT A. Global Burden of Stroke. Semin Neurol. 2018; 38(2): p. 208-211.Search in Google Scholar
LEKANDER I.,WILLERS C.,VON EULER M., LILJA M., SUNNERHAGEN K S., PESSAH-RASMUSSEN H, et al., Relationship between functional disability and costs one and two years post stroke. PLoS One. 2017; 12(4): p. e0174861.Search in Google Scholar
O’DONNELL M J., XAVIER D., LIU L., ZHANG H., CHIN S L., RAO-MELACINI P., et al., Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet. 2010; 376(9735): p. 112-23.Search in Google Scholar
QIN H., CHEN Y., LIU G., TURNBULL I., ZHANG R., LI Z., et al., Management characteristics and prognosis after stroke in China: findings from a large nationwide stroke registry. Stroke Vasc Neurol. 2021; 6(1): p. 1-9.Search in Google Scholar
QU S., ZHOU M., JIAO S., ZHANG Z., XUE K., LONG J., et al., Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions. PLoS One. 2022; 17(5): p. e0267747.Search in Google Scholar
CAMPAGNINI S., ARIENTI C., PATRINI M., LIUZZI P., MANNINI ACARROZZA M C. Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review. J Neuroeng Rehabil. 2022; 19(1): p. 54.Search in Google Scholar
MOHAMMADI T., MOHAMMADI B. Neuropsychological features in children and adults with congenital heart disease: an exploratory data analysis. Psychol Health Med. 2022: p. 1-14.Search in Google Scholar
MOHAMMADI T., MOHAMMADI B. Drawing clinical pictures of heart failure with high mortality risk. Informatics in Medicine Unlocked. 2021; 26: p. 100752.Search in Google Scholar
YAN Z., WEI D., XU S., ZHANG J.,YANG C., HE X., et al., Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia. Sci Rep. 2022; 12(1): p. 15108.Search in Google Scholar
HARA T., NIIMI M.,YAMADA N., SHIMAMOTO Y., MASUDA G., HARA H., et al., Prognosis prediction of the effect of botulinum toxin therapy and intensive rehabilitation on the upper arm function in post-stroke patients using hierarchical cluster analysis. Disabil Rehabil. 2022; 44(22): p. 6815-6823.Search in Google Scholar
HENDRICKX W., RIVEROS C., ASKIM T., BUSSMANN J B J., CALLISAYA M L.,CHASTIN S F M., et al., An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis. J Neurol Phys Ther. 2021; 45(3): p. 221-227.Search in Google Scholar
CHEN C Y., CHEN C L. Recognizable Clinical Subtypes of Obstructive Sleep Apnea After Ischemic Stroke: A Cluster Analysis. Nat Sci Sleep. 2021; 13: p. 283-290.Search in Google Scholar
KIM H., KIM Y H., KIM S JCHOI M T. Pathological gait clustering in post-stroke patients using motion capture data. Gait Posture. 2022; 94: p. 210-216.Search in Google Scholar
DING L., MANE R.,WU Z., JIANG Y., MENG X., JING J., et al., Data-driven clustering approach to identify novel phenotypes using multiple biomarkers in acute ischaemic stroke: A retrospective, multicentre cohort study. EClinicalMedicine. 2022; 53: p. 101639.Search in Google Scholar
CHEN J., LIU S.,WU M., DAI L.,WANG J., XIE W., et al., Twenty-four-hour National Institute of Health Stroke Scale predicts short- and long-term outcomes of basilar artery occlusion after endovascular treatment. Front Aging Neurosci. 2022; 14: p. 941034.Search in Google Scholar
KHAN M S A., AHMAD S., GHAFOOR B., SHAH M H., MUMTAZ H., AHMAD W., et al., Inpatient assessment of the neurological outcome of acute stroke patients based on the National Institute of Health Stroke Scale (NIHSS). Ann Med Surg (Lond). 2022; 82: p. 104770.Search in Google Scholar
LEE E Y., SOHN M K., LEE J M., KIM D Y., SHIN Y I., OH G J., et al., Changes in Long-Term Functional Independence in Patients with Moderate and Severe Ischemic Stroke: Comparison of the Responsiveness of the Modified Barthel Index and the Functional Independence Measure. Int J Environ Res Public Health. 2022; 19(15).Search in Google Scholar
DOS REIS N F., FIGUEIREDO F., BISCARO R R M., LUNARDELLI E BMAURICI R. Psychometric Properties of the Barthel Index Used at Intensive Care Unit Discharge. Am J Crit Care. 2022; 31(1): p. 65-72.Search in Google Scholar
WANG Y C., CHANG P F., CHEN Y M., LEE Y C., HUANG S L., CHEN M H., et al., Comparison of responsiveness of the Barthel Index and modified Barthel Index in patients with stroke. Disabil Rehabil. 2022: p. 1-6.Search in Google Scholar
LIU X., ZHOU M., ZHAO J., GAO Y., WANG Y., ZHOU J., et al., Functional Independence and Disability Evaluation in Stroke Patients: Optimal Cutoff Scores for a Pictorial-Based Longshi Scale, Barthel Index, and Modified Rankin Scale. Front Neurol. 2022; 13: p. 710852.Search in Google Scholar
NAKIBUUKA J., SAJATOVIC M., NANKABIRWA J., SSENDIKADIWA C., FURLAN A J., KATABIRA E., et al., Early mortality and functional outcome after acute stroke in Uganda: prospective study with 30 day follow-up. Springerplus. 2015; 4: p. 450.Search in Google Scholar
MOHAMMADI T., MOHAMMADI B. The long-term prognostic value provided by Coronary CT angiography. Eur J Intern Med. 2022.Search in Google Scholar
CHU C L., CHEN Y P., CHEN C C P., CHEN C K., CHANG H N., CHANG C H., et al., Functional Recovery Patterns of Hemorrhagic and Ischemic Stroke Patients Under Post-Acute Care Rehabilitation Program. Neuropsychiatr Dis Treat. 2020; 16: p. 1975-1985.Search in Google Scholar
KELLY P J., FURIE K L., SHAFQAT S., RALLIS N., CHANG YSTEIN J. Functional recovery following rehabilitation after hemorrhagic and ischemic stroke. Arch Phys Med Rehabil. 2003; 84(7): p. 968-72.Search in Google Scholar
YANG S., BOUDIER-REVERET M., KWON S., LEE M YCHANG M C. Effect of Diabetes on Post-stroke Recovery: A Systematic Narrative Review. Front Neurol. 2021; 12: p. 747878.Search in Google Scholar
NANNETTI L., PACI M., BACCINI M., RINALDI L ATAITI P G. Recovery from stroke in patients with diabetes mellitus. J Diabetes Complications. 2009; 23(4): p. 249-54.Search in Google Scholar
CHATURVEDI P., SINGH A K., TIWARI VTHACKER A K. Diabetes mellitus type 2 impedes functional recovery, neuroplasticity and quality of life after stroke. J Family Med Prim Care. 2020; 9(2): p. 1035-1041.Search in Google Scholar
KISSELA B., AIR E. Diabetes: impact on stroke risk and poststroke recovery. Semin Neurol. 2006; 26(1): p. 100-7.Search in Google Scholar
MUNOZ-RIVAS N., MENDEZ-BAILON M., HERNANDEZ-BARRERA V., DE MIGUEL-YANES J M., JIMENEZ-GARCIA R., ESTEBAN-HERNANDEZ J., et al., Type 2 Diabetes and Hemorrhagic Stroke: A Population-Based Study in Spain from 2003 to 2012. J Stroke Cerebrovasc Dis. 2016; 25(6): p. 1431-43.Search in Google Scholar
WU Z., HUANG Z., LICHTENSTEIN A H., LIU Y., CHEN S., JIN Y., et al., The risk of ischemic stroke and hemorrhagic stroke in Chinese adults with low-density lipoprotein cholesterol concentrations < 70 mg/dL. BMC Med. 2021; 19(1): p. 142.Search in Google Scholar
YUAN B., YANG T., YAN T., CHENG WBU X. Relationships Between D-Dimer Levels and Stroke Risk as Well as Adverse Clinical Outcomes After Acute Ischemic Stroke or Transient Ischemic Attack: A Systematic Review and Meta-Analysis. Front Neurol. 2021; 12: p. 670730.Search in Google Scholar