A Systematic and Universal Artificial Intelligence Screening Method for Oropharyngeal Dysphagia: Improving Diagnosis Through Risk Management

[1]  Christopher G. Chute,et al.  ICD-11: an international classification of diseases for the twenty-first century , 2021, BMC Medical Informatics and Decision Making.

[2]  J. Runge,et al.  Spatio‐temporal Autoencoders in Weather and Climate Research , 2021, Deep Learning for the Earth Sciences.

[3]  V. Arreola,et al.  A Systematic and a Scoping Review on the Psychometrics and Clinical Utility of the Volume-Viscosity Swallow Test (V-VST) in the Clinical Screening and Assessment of Oropharyngeal Dysphagia , 2021, Foods.

[4]  P. Clavé,et al.  Healthcare costs of post‐stroke oropharyngeal dysphagia and its complications: malnutrition and respiratory infections , 2021, European journal of neurology.

[5]  P. Clavé,et al.  Oropharyngeal Dysphagia in Older People is Associated with Reduced Pharyngeal Sensitivity and Low Substance P and CGRP Concentration in Saliva , 2021, Dysphagia.

[6]  J. Bongaarts,et al.  United Nations Department of Economic and Social Affairs, Population Division World Family Planning 2020: Highlights, United Nations Publications, 2020. 46 p. , 2020 .

[7]  Daniel Neil,et al.  Applications of machine learning to diagnosis and treatment of neurodegenerative diseases , 2020, Nature Reviews Neurology.

[8]  P. Lambin,et al.  Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study , 2020, European Respiratory Journal.

[9]  Stefanie Jauk,et al.  Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning , 2020, dHealth.

[10]  P. Clavé,et al.  Prevalence, Risk Factors, and Complications of Oropharyngeal Dysphagia in Older Patients with Dementia , 2020, Nutrients.

[11]  A. Sinclair,et al.  Diabetes and global ageing among 65-99-year-old adults: findings from the International Diabetes Federation Diabetes Atlas, 9th edition. , 2020, Diabetes research and clinical practice.

[12]  M. Amin,et al.  Oropharyngeal Dysphagia in the Elderly: Evaluation and Prevalence , 2020, Current Otorhinolaryngology Reports.

[13]  Sudha R. Raman,et al.  Association Between Dysphagia and Inpatient Outcomes Across Frailty Level Among Patients ≥ 50 Years of Age , 2019, Dysphagia.

[14]  Xavier-Andoni Tibau,et al.  Why Cohen’s Kappa should be avoided as performance measure in classification , 2019, PloS one.

[15]  N. Vilardell,et al.  Natural History of Swallow Function during the Three-Month Period after Stroke , 2019, Geriatrics.

[16]  Joanne Murray,et al.  Impact of oropharyngeal dysphagia on healthcare cost and length of stay in hospital: a systematic review , 2018, BMC Health Services Research.

[17]  N. Vilardell,et al.  Prevalence, risk factors and complications of oropharyngeal dysphagia in stroke patients: A cohort study , 2018, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[18]  Jeffrey Dean,et al.  Scalable and accurate deep learning with electronic health records , 2018, npj Digital Medicine.

[19]  Jenna Wiens,et al.  Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[20]  N. Vilardell,et al.  Chronic post‐stroke oropharyngeal dysphagia is associated with impaired cortical activation to pharyngeal sensory inputs , 2017, European journal of neurology.

[21]  N. Vilardell,et al.  Spatiotemporal characteristics of the pharyngeal event‐related potential in healthy subjects and older patients with oropharyngeal dysfunction , 2017, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[22]  P. Cras,et al.  European Society for Swallowing Disorders – European Union Geriatric Medicine Society white paper: oropharyngeal dysphagia as a geriatric syndrome , 2016, Clinical interventions in aging.

[23]  David Borland,et al.  Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization , 2016, IEEE Computer Graphics and Applications.

[24]  E. Plowman,et al.  Discriminant ability of the Eating Assessment Tool‐10 to detect aspiration in individuals with amyotrophic lateral sclerosis , 2016, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[25]  L. Rofes,et al.  Oropharyngeal dysphagia is a prevalent risk factor for malnutrition in a cohort of older patients admitted with an acute disease to a general hospital. , 2015, Clinical nutrition.

[26]  R. Shaker,et al.  Dysphagia: current reality and scope of the problem , 2015, Nature Reviews Gastroenterology &Hepatology.

[27]  R. Dziewas,et al.  Schluckstörungen im Alter , 2015, Der Nervenarzt.

[28]  Robert Koprowski,et al.  Machine learning, medical diagnosis, and biomedical engineering research - commentary , 2014, BioMedical Engineering OnLine.

[29]  D. Bates,et al.  Big data in health care: using analytics to identify and manage high-risk and high-cost patients. , 2014, Health affairs.

[30]  L. Rofes,et al.  Sensitivity and specificity of the Eating Assessment Tool and the Volume-Viscosity Swallow Test for clinical evaluation of oropharyngeal dysphagia , 2014, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[31]  L. Rofes,et al.  The effects of a xanthan gum‐based thickener on the swallowing function of patients with dysphagia , 2014, Alimentary pharmacology & therapeutics.

[32]  R. Speyer,et al.  Bedside Screening to Detect Oropharyngeal Dysphagia in Patients with Neurological Disorders: An Updated Systematic Review , 2014, Dysphagia.

[33]  P. Clavé,et al.  Oropharyngeal dysphagia is a risk factor for readmission for pneumonia in the very elderly persons: observational prospective study. , 2014, The journals of gerontology. Series A, Biological sciences and medical sciences.

[34]  Hien Nguyen,et al.  From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system , 2014, J. Am. Medical Informatics Assoc..

[35]  Michael B. Miller.  Linear Regression Analysis , 2013 .

[36]  R. Speyer.  Oropharyngeal dysphagia: screening and assessment. , 2013, Otolaryngologic clinics of North America.

[37]  L. Rofes,et al.  Oropharyngeal dysphagia is a risk factor for community-acquired pneumonia in the elderly , 2012, European Respiratory Journal.

[38]  P. Clavé,et al.  Oropharyngeal dysphagia as a risk factor for malnutrition and lower respiratory tract infection in independently living older persons: a population-based prospective study. , 2012, Age and ageing.

[39]  Jacob T Cohen,et al.  Swallowing disturbance questionnaire for detecting dysphagia , 2011, The Laryngoscope.

[40]  L. Rofes,et al.  Pathophysiology of oropharyngeal dysphagia in the frail elderly , 2010, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[41]  T. Anderson,et al.  The Impact of Dysphagia on Quality of Life in Ageing and Parkinson’s Disease as Measured by the Swallowing Quality of Life (SWAL-QOL) Questionnaire , 2010, Dysphagia.

[42]  P. Belafsky,et al.  Validity and Reliability of the Eating Assessment Tool (EAT-10) , 2008, The Annals of otology, rhinology, and laryngology.

[43]  Viridiana Arreola,et al.  Accuracy of the volume-viscosity swallow test for clinical screening of oropharyngeal dysphagia and aspiration. , 2008, Clinical nutrition.

[44]  Mark Speechley,et al.  Dysphagia After Stroke: Incidence, Diagnosis, and Pulmonary Complications , 2005, Stroke.

[45]  P. Qiu.  The Statistical Evaluation of Medical Tests for Classification and Prediction , 2005 .

[46]  D. Gur,et al.  Is maximum positive predictive value a good indicator of an optimal screening mammography practice? , 2005, AJR. American journal of roentgenology.

[47]  J. Avorn,et al.  A review of uses of health care utilization databases for epidemiologic research on therapeutics. , 2005, Journal of clinical epidemiology.

[48]  D. Altman,et al.  Diagnostic tests 4: likelihood ratios , 2004, BMJ : British Medical Journal.

[49]  Ting Wang,et al.  Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules , 2004, Multiple Classifier Systems.

[50]  D. Ruppert.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[51]  S. Langmore.  Evaluation of oropharyngeal dysphagia: which diagnostic tool is superior? , 2003, Current opinion in otolaryngology & head and neck surgery.

[52]  S. Langmore,et al.  Dysphagia research in the 21st century and beyond: proceedings from Dysphagia Experts Meeting, August 21, 2001. , 2002, Journal of rehabilitation research and development.

[53]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[54]  S. Gillespie,et al.  Pathogenesis of pneumococcal infection. , 2000, Journal of medical microbiology.

[55]  I. Cook,et al.  Development and validation of a self-report symptom inventory to assess the severity of oral-pharyngeal dysphagia. , 2000, Gastroenterology.

[56]  Barbara J. Grosz,et al.  Natural-Language Processing , 1982, Artif. Intell..

[57]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[58]  Andreas M. Kaplan,et al.  Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence , 2019, Business Horizons.

[59]  P. Clavé,et al.  Effect of a Minimal-Massive Intervention in Hospitalized Older Patients with Oropharyngeal Dysphagia: A Proof of Concept Study , 2018, The journal of nutrition, health & aging.

[60]  M. Miarons Font,et al.  Antipsychotic medication and oropharyngeal dysphagia : systematic review , 2017 .

[61]  Goutam Saha,et al.  APPLYING LOGISTIC REGRESSION MODEL TO THE EXAMINATION RESULTS DATA , 2012 .

[62]  Da-Wen Sun,et al.  Learning techniques used in computer vision for food quality evaluation: a review , 2006 .

[63]  S. Barczi,et al.  How Should Dysphagia Care of Older Adults Differ? Establishing Optimal Practice Patterns , 2000, Seminars in speech and language.

[64]  J. Logemann,et al.  Dysphagia: evaluation and treatment. , 1995, Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics.