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Decision tree neurology

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https://www.readbyqxmd.com/read/29765477/detecting-epileptic-seizure-with-different-feature-extracting-strategies-using-robust-machine-learning-classification-techniques-by-applying-advance-parameter-optimization-approach
#1
Lal Hussain
Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. In this research, we have extracted varying features extracting strategies based on time and frequency domain characteristics, nonlinear, wavelet based entropy and few statistical features...
June 2018: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29709551/predictive-model-for-distal-junctional-kyphosis-after-cervical-deformity-surgery
#2
Peter G Passias, Dennis Vasquez-Montes, Gregory W Poorman, Themistocles Protopsaltis, Samantha R Horn, Cole A Bortz, Frank Segreto, Bassel Diebo, Chris Ames, Justin Smith, Virginie LaFage, Renaud LaFage, Eric Klineberg, Chris Shaffrey, Shay Bess, Frank Schwab
BACKGROUND CONTEXT: Distal Junctional Kyphosis (DJK) is a primary concern of surgeons correcting cervical deformity. Identifying patients and procedures at higher risk for developing this condition is paramount in improving patient selection and care. PURPOSE: Develop a risk index for DJK development in the first year after surgery. STUDY DESIGN/SETTING: Retrospective review of a prospective multicenter cervical deformity database. PATIENT SAMPLE: Patients over the age of 18 meeting one of the following deformities: cervical kyphosis (C2-7 Cobb angle >10°), cervical scoliosis (coronal Cobb angle >10°), positive cervical sagittal imbalance (C2-C7 sagittal vertical axis >4cm or T1-C6 >10 o ), or horizontal gaze impairment (chin-brow vertical angle >25o )...
April 27, 2018: Spine Journal: Official Journal of the North American Spine Society
https://www.readbyqxmd.com/read/29681619/a-decision-tree-for-the-genetic-diagnosis-of-deficiency-of-adenosine-deaminase-2-dada2-a-french-reference-centres-experience
#3
Mélanie Rama, Claire Duflos, Isabelle Melki, Didier Bessis, Axelle Bonhomme, Hélène Martin, Diane Doummar, Stéphanie Valence, Diana Rodriguez, Emilie Carme, David Genevieve, Ketil Heimdal, Antonella Insalaco, Nathalie Franck, Viviane Queyrel-Moranne, Nathalie Tieulie, Jonathan London, Florence Uettwiller, Sophie Georgin-Lavialle, Alexandre Belot, Isabelle Koné-Paut, Véronique Hentgen, Guilaine Boursier, Isabelle Touitou, Guillaume Sarrabay
Deficiency of adenosine deaminase 2 (DADA2) is a recently described autoinflammatory disorder. Genetic analysis is required to confirm the diagnosis. We aimed to describe the identifying symptoms and genotypes of patients referred to our reference centres and to improve the indications for genetic testing. DNA from 66 patients with clinically suspected DADA2 were sequenced by Sanger or next-generation sequencing. Detailed epidemiological, clinical and biological features were collected by use of a questionnaire and were compared between patients with and without genetic confirmation of DADA2...
April 23, 2018: European Journal of Human Genetics: EJHG
https://www.readbyqxmd.com/read/29316820/cost-effectiveness-of-access-to-critical-cerebral-emergency-support-services-access-a-neuro-emergent-telemedicine-consultation-program
#4
Justin Whetten, David N van der Goes, Huy Tran, Maurice Moffett, Colin Semper, Howard Yonas
AIMS: Access to Critical Cerebral Emergency Support Services (ACCESS) was developed as a low-cost solution to providing neuro-emergent consultations to rural hospitals in New Mexico that do not offer comprehensive stroke care. ACCESS is a two-way audio-visual program linking remote emergency department physicians and their patients to stroke specialists. ACCESS also has an education component in which hospitals receive training from stroke specialists on the triage and treatment of patients...
April 2018: Journal of Medical Economics
https://www.readbyqxmd.com/read/29216828/factors-necessary-for-independent-walking-in-patients-with-thalamic-hemorrhage
#5
Shigenori Hiraoka, Shinichiro Maeshima, Hideto Okazaki, Hirokazu Hori, Shinichiro Tanaka, Sayaka Okamoto, Reisuke Funahashi, Kei Yagihashi, Ikuko Fuse, Naoki Asano, Shigeru Sonoda
BACKGROUND: Thalamic hemorrhages cause motor paralysis, sensory impairment, and cognitive dysfunctions, all of which may significantly affect walking independence. We examined the factors related to independent walking in patients with thalamic hemorrhage who were admitted to a rehabilitation hospital. METHODS: We evaluated 128 patients with thalamic hemorrhage (75 men and 53 women; age range, 40-93 years) who were admitted to our rehabilitation hospital. The mean duration from symptom onset to rehabilitation hospital admission was 27...
December 8, 2017: BMC Neurology
https://www.readbyqxmd.com/read/28638895/chronic-orofacial-pain-burning-mouth-syndrome-and-other-neuropathic-disorders
#6
Raymond C Tait, McKenzie Ferguson, Christopher M Herndon
Chronic orofacial pain is a symptom associated with a wide range of neuropathic, neurovascular, idiopathic, and myofascial conditions that affect a significant proportion of the population. While the collective impact of the subset of the orofacial pain disorders involving neurogenic and idiopathic mechanisms is substantial, some of these are relatively uncommon. Hence, patients with these disorders can be vulnerable to misdiagnosis, sometimes for years, increasing the symptom burden and delaying effective treatment...
March 2017: Journal of Pain Management & Medicine
https://www.readbyqxmd.com/read/28578025/multimarker-risk-stratification-approach-at-multiple-sclerosis-onset
#7
Lidia Fernández-Paredes, Armanda Casrouge, Jérémie Decalf, Clara de Andrés, Luisa Maria Villar, Rebeca Pérez de Diego, Bárbara Alonso, José Carlos Álvarez Cermeño, Rafael Arroyo, Marta Tejera-Alhambra, Joaquín Navarro, Celia Oreja-Guevara, Margarita López Trascasa, Ansgar Seyfferth, Maria Angel García Martínez, Roberto Álvarez Lafuente, Matthew L Albert, Silvia Sánchez-Ramón
Delay in the diagnosis of multiple sclerosis (MS) stems from the lack of specific clinical and analytical markers to assist in the early diagnosis and prediction of progressive course. We propose a decision-tree model that better defines early at onset MS patients and those with the progressive form by analysing a 12-biomarkers panel in serum and CSF samples of patients with MS, other neurological diseases (OND) and healthy contols. Thus, patients at onset of neurological disease were first classified by serum IL-7 levels <141pg/ml (OR=6...
August 2017: Clinical Immunology: the Official Journal of the Clinical Immunology Society
https://www.readbyqxmd.com/read/28508375/an-integration-of-decision-tree-and-visual-analysis-to-analyze-intracranial-pressure
#8
Soo-Yeon Ji, Kayvan Najarian, Toan Huynh, Dong Hyun Jeong
In Traumatic Brain Injury (TBI), elevated Intracranial Pressure (ICP) causes severe brain damages due to hemorrhage and swelling. Monitoring ICP plays an important role in the treatment of TBI patients because ICP is considered a strong predictor of neurological outcome and a potentially amenable method to treat patients. However, it is difficult to predict and measure accurate ICP due to the complex nature of patients' clinical conditions. ICP monitoring for severe TBI patient is a challenging problem for clinicians because traditionally known ICP monitoring is an invasive procedure by placing a device inside the brain to measure pressure...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28049389/external-validation-of-two-classification-and-regression-tree-models-to-predict-the-outcome-of-inpatient-cardiopulmonary-resuscitation
#9
Ryan W R Guilbault, Marcus Andreas Ohlsson, Anna M Afonso, Mark H Ebell
OBJECTIVE: To prospectively validate a previously developed classification and regression tree (CART) model that predicts the likelihood of a good outcome among patients undergoing inpatient cardiopulmonary resuscitation. DESIGN: Prospective validation of a clinical decision rule. SETTING: Skåne University Hospital in Malmo, Sweden. PATIENTS: All adult patients (N = 287) experiencing in-hospital cardiopulmonary arrest and undergoing cardiopulmonary resuscitation between 2007 and 2010...
June 2017: Journal of Intensive Care Medicine
https://www.readbyqxmd.com/read/27748215/do-neighbourhoods-in-vancouver-and-surrounding-areas-demonstrate-different-rates-of-bystander-cpr-and-survival-for-out-of-hospital-cardiac-arrest
#10
David Barbic, Brian Klinkenberg, Brian Grunau, Jim Christenson
OBJECTIVE: No prior work exists examining the relation between the geographic distribution of out-of-hospital cardiac arrest (OHCA) in the city of Vancouver and surrounding areas that may exhibit a clustering of cases. The primary objective of this study was to describe the distribution of OHCA within the Vancouver Coastal Health region using a geographic information system (GIS) analysis and appropriate statistical analyses. METHODS: This study was a post-hoc GIS-based analysis of OHCA patients in the city of Vancouver and surrounding areas, using data collected by the Resuscitation Outcomes Consortium between September 2007 and December 2011...
January 2018: CJEM
https://www.readbyqxmd.com/read/27722894/modeling-treatment-sequences-in-pharmacoeconomic-models
#11
Ying Zheng, Feng Pan, Sonja Sorensen
As the number of interventions available in a therapeutic area increases, the relevant decision questions in health technology assessment (HTA) expand to compare treatment sequences instead of discrete treatments and identify optimal sequences or position for a particular treatment in a sequence. The objective of this work was to review approaches used to model treatment sequences and provide practical guidance on conceptualizing whether and how to model sequences in health economic models. Economic models including treatment sequencing assessed by the National Institute for Health and Care Excellence were reviewed, as these assessments generally provide both policy relevance and comprehensive model detail...
January 2017: PharmacoEconomics
https://www.readbyqxmd.com/read/27649187/multimodal-learning-and-intelligent-prediction-of-symptom-development-in-individual-parkinson-s-patients
#12
Andrzej W Przybyszewski, Mark Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M Koziorowski
We still do not know how the brain and its computations are affected by nerve cell deaths and their compensatory learning processes, as these develop in neurodegenerative diseases (ND). Compensatory learning processes are ND symptoms usually observed at a point when the disease has already affected large parts of the brain. We can register symptoms of ND such as motor and/or mental disorders (dementias) and even provide symptomatic relief, though the structural effects of these are in most cases not yet understood...
September 14, 2016: Sensors
https://www.readbyqxmd.com/read/27536532/cost-impact-of-a-non-invasive-portable-device-for-patient-self-administration-of-chronic-migraine-in-a-uk-national-health-service-setting
#13
B Brüggenjürgen, T Baker, R Bhogal, F Ahmed
BACKGROUND: Chronic migraine (CM) is a neurological disorder associated with substantial disability. Botulinum toxin type A (Botox) is an approved and effective preventive treatment option for adult patients with CM. Transcranial magnetic stimulation (TMS) is an alternative treatment device delivering a brief pre-set magnetic pulse used for self-administration by the patient at home. Despite being available in a risk share scheme TMS is perceived to be more costly in the UK. The objective of this study was to analyse the incremental costs of TMS compared to Botox in refractory CM patients both for a UK individual funding request setting as well as for an average UK specialist center setting...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27512607/aneurysmal-subarachnoid-hemorrhage-prognostic-decision-making-algorithm-using-classification-and-regression-tree-analysis
#14
Benjamin W Y Lo, Hitoshi Fukuda, Mark Angle, Jeanne Teitelbaum, R Loch Macdonald, Forough Farrokhyar, Lehana Thabane, Mitchell A H Levine
BACKGROUND: Classification and regression tree analysis involves the creation of a decision tree by recursive partitioning of a dataset into more homogeneous subgroups. Thus far, there is scarce literature on using this technique to create clinical prediction tools for aneurysmal subarachnoid hemorrhage (SAH). METHODS: The classification and regression tree analysis technique was applied to the multicenter Tirilazad database (3551 patients) in order to create the decision-making algorithm...
2016: Surgical Neurology International
https://www.readbyqxmd.com/read/26774552/establishing-a-role-for-polysomnography-in-hospitalized-children
#15
Nataliya Tkachenko, Kanwaljit Singh, Nicolas Abreu, Anne Marie Morse, Christy Day, Kathyrn Fitzgerald, Mikhail Kazachkov, Sanjeev Kothare
BACKGROUND: Children with medical complexity have a high prevalence of sleep disorders. However, outpatient polysomnography to evaluate for these conditions may be difficult to perform because of lack of skilled nursing care. The aim of this study was to explore polysomnography indications in hospitalized children and assess its impact on patient care. METHODS: Data from 85 inpatient polysomnographies of 70 children hospitalized between March and December 2014 were retrospectively collected...
April 2016: Pediatric Neurology
https://www.readbyqxmd.com/read/26766600/automated-outcome-classification-of-computed-tomography-imaging-reports-for-pediatric-traumatic-brain-injury
#16
Kabir Yadav, Efsun Sarioglu, Hyeong Ah Choi, Walter B Cartwright, Pamela S Hinds, James M Chamberlain
BACKGROUND: The authors have previously demonstrated highly reliable automated classification of free-text computed tomography (CT) imaging reports using a hybrid system that pairs linguistic (natural language processing) and statistical (machine learning) techniques. Previously performed for identifying the outcome of orbital fracture in unprocessed radiology reports from a clinical data repository, the performance has not been replicated for more complex outcomes. OBJECTIVES: To validate automated outcome classification performance of a hybrid natural language processing (NLP) and machine learning system for brain CT imaging reports...
February 2016: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine
https://www.readbyqxmd.com/read/26156192/predictive-value-of-upper-limb-muscles-and-grasp-patterns-on-functional-outcome-in-cervical-spinal-cord-injury
#17
MULTICENTER STUDY
Inge-Marie Velstra, Marc Bolliger, Jörg Krebs, Johan S Rietman, Armin Curt
OBJECTIVE: To determine which single or combined upper limb muscles as defined by the International Standards for the Neurological Classification of Spinal Cord Injury (ISNCSCI); upper extremity motor score (UEMS) and the Graded Redefined Assessment of Strength, Sensibility, and Prehension (GRASSP), best predict upper limb function and independence in activities of daily living (ADLs) and to assess the predictive value of qualitative grasp movements (QlG) on upper limb function in individuals with acute tetraplegia...
May 2016: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/25876516/assessing-risk-of-hospital-readmissions-for-improving-medical-practice
#18
Parimal Kulkarni, L Douglas Smith, Keith F Woeltje
We compare statistical approaches for predicting the likelihood that individual patients will require readmission to hospital within 30 days of their discharge and for setting quality-control standards in that regard. Logistic regression, neural networks and decision trees are found to have comparable discriminating power when applied to cases that were not used to calibrate the respective models. Significant factors for predicting likelihood of readmission are the patient's medical condition upon admission and discharge, length (days) of the hospital visit, care rendered during the hospital stay, size and role of the medical facility, the type of medical insurance, and the environment into which the patient is discharged...
September 2016: Health Care Management Science
https://www.readbyqxmd.com/read/25859811/predictability-of-the-future-development-of-aggressive-behavior-of-cranial-dural-arteriovenous-fistulas-based-on-decision-tree-analysis
#19
Junichiro Satomi, A Ammar Ghaibeh, Hiroki Moriguchi, Shinji Nagahiro
OBJECT: The severity of clinical signs and symptoms of cranial dural arteriovenous fistulas (DAVFs) are well correlated with their pattern of venous drainage. Although the presence of cortical venous drainage can be considered a potential predictor of aggressive DAVF behaviors, such as intracranial hemorrhage or progressive neurological deficits due to venous congestion, accurate statistical analyses are currently not available. Using a decision tree data mining method, the authors aimed at clarifying the predictability of the future development of aggressive behaviors of DAVF and at identifying the main causative factors...
July 2015: Journal of Neurosurgery
https://www.readbyqxmd.com/read/25675791/-peculiarities-of-preoperative-diagnosis-of-glioms-of-fronto-temporal-localization
#20
S V Tiaglyĭ
Results of examination and surgical treatment for glial tumors of fronto-temporal localization in 40 patients of both gender and different age, duration of treatment, somatic state were analyzed. Complex clinico-neurological examination of patients have included neurovisualized methods of investigation: angiography of carotid arteries, computeric and a magnet resonance tomography. Algorithm of preoperative diagnosis was elaborated for the surgical tactics establishment.
October 2014: Klinichna Khirurhiia
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