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References from Machine learning approach to predict medication overuse in migraine patients. Local targets link to admitted publications; unresolved targets remain external evidence.
Migraine and tension-type headache: diagnosis and treatment
10.1016/j.mcna.2018.10.003 · 2019 · External reference
10.1177/0333102417738202
10.1177/0333102417738202 · External reference
Pharmacological trials in migraine: it's time to reappraise where the headache is and what the pain is like
10.1111/head.12498 · 2015 · External reference
Predicting initiation of preventive migraine medications: exploratory study in a large U.S. medical claims database
2019 · External reference
Factors associated with acute medication overuse in people with migraine: results from the 2017 migraine in America symptoms and treatment (MAST) study
10.1186/s10194-018-0865-z · 2018 · External reference
Chronic migraine: risk factors, mechanisms and treatment
10.1038/nrneurol.2016.93 · 2016 · External reference
Medication overuse and medication overuse headache: risk factors, comorbidities, associated burdens and nonpharmacologic and pharmacologic treatment approaches
10.1007/s11916-019-0796-7 · 2019 · External reference
Medication-overuse headache
10.1136/practneurol-2018-002048 · 2019 · External reference
Analgesic use: a predictor of chronic pain and medication overuse headache: the Head-HUNT Study
10.1212/01.wnl.0000069924.69078.8d · 2003 · External reference
Incidence and predictors for chronicity of headache in patients with episodic migraine
10.1212/01.wnl.0000113747.18760.d2 · 2004 · External reference
10.1111/j.1526-4610.2008.01217.x
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Outcomes and predictors of chronic daily headache in adolescents: a 2-year longitudinal study
10.1212/01.wnl.0000252800.82704.62 · 2007 · External reference
Automatic diagnosis of primary headaches by machine learning methods
2013 · External reference
Diagnostic accuracy comparison of artificial immune algorithms for primary headaches
10.1155/2015/465192 · 2015 · External reference
10.1007/978-3-319-63312-1_6
10.1007/978-3-319-63312-1_6 · External reference
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
10.1186/s12911-018-0679-6 · 2018 · External reference
Diagnosis of common headaches using hybrid expert-based systems
10.4103/jmss.jmss_47_18 · 2019 · External reference
Multimodal MRI-based classification of migraine: using deep learning convolutional neural network
10.1186/s12938-018-0587-0 · 2018 · External reference
Migraine classification using magnetic resonance imaging resting-state functional connectivity data
10.1177/0333102416652091 · 2017 · External reference
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data
10.1186/s12911-017-0434-4 · 2017 · External reference
10.1016/j.heliyon.2018.e01043
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Risk assessment for venous thromboembolism in chemotherapy treated ambulatory cancer patients: a precision medicine approach
10.1177/0272989x16662654 · 2017 · External reference
Validation of a machine learning risk predictor for venous thromboembolism in oncology
10.1155/2017/8781379 · 2017 · External reference
Artificial Intelligence for cancer-associated thrombosis risk assessment
10.1016/s2352-3026(18)30111-x · 2018 · External reference
Predicting breast cancer prognosis using a machine learning approach
10.3390/cancers11030328 · 2019 · External reference
Multiple kernel learning algorithms
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An Introduction to Support Vector Machines and other kernel based learning methods
2000 · External reference
Random optimization
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Establishment of a biorepository for migraine research: the experience of Interinstitutional Multidisciplinary BioBank (BioBIM)
10.1007/s10072-013-1308-x · 2013 · External reference
The phenotype of migraine with unilateral cranial autonomic symptoms documents increased peripheral and central trigeminal sensitization. A case series of 757 patients
10.1177/0333102416630579 · 2016 · External reference
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Handling missing values when applying classification models
2007 · External reference
10.1007/s10072-019-03865-9
10.1007/s10072-019-03865-9 · External reference
Predicting inadequate response to acute migraine medication: results from the American migraine prevalence and prevention (AMPP) study
10.1111/head.12941 · 2016 · External reference
Pathophysiology, prevention, and treatment of medication overuse headache
10.1016/s1474-4422(19)30146-2 · 2019 · External reference
Metabolic syndrome in female migraine patients is associated with medication overuse headache: a clinic-based study in China
10.1111/ene.12732 · 2015 · External reference
Risk factors for medication-overuse headache: an 11-year follow-up study The Nord-Trøndelag Health Studies
10.1016/j.pain.2011.08.018 · 2012 · External reference
Migraine classification using somatosensory evoked potentials
10.1177/0333102419839975 · 2019 · External reference
An expert system for headache diagnosis: the Computerized Headache Assessment tool (CHAT)
10.1111/j.1526-4610.2007.00918.x · 2008 · External reference
