Headaches in antiquity and during the early scientific era

Magiorkinis, Emmanouil; Diamantis, Aristidis; Mitsikostas, Dimos‐Dimitrios; Androutsos, George

doi:10.1007/s00415-009-5085-7

Cited by 45 publications

(46 citation statements)

References 12 publications

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“…Writings on migraine headache have been documented through various sources for thousands of years. 5 Numerous sources support that women report migraine headache more often than men, primarily due to hormonal influences. 6 In their 2001 study, Lipton et al found that 16.6% of women living in the mid-Atlantic region report migraine.…”

Section: Introductionmentioning

confidence: 99%

Living With Migraine Headache

Ramsey

2012

Holistic Nursing Practice

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This qualitative study explored the lived experience of women who had migraine headache. The guiding framework was phenomenological inquiry and story theory. The transcripts of audiotaped stories gathered from 8 women living with migraine headache were analyzed. Seven interrelated themes comprised the findings of the study. Implications for holistic nursing practice emphasizing assessment of lived time, lived body, lived space, and lived relations in the context of the findings of the study are discussed.

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Section: Introductionmentioning

confidence: 99%

Living With Migraine Headache

Ramsey

2012

Holistic Nursing Practice

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“…Over the centuries, the phenomenon of headache, which is formally known as Cephalalgia, has remained an enduring burden for societies and a significant source of enigma within the domain of healthcare systems [1,2]. Principally, headache is defined as pain occurring anywhere in the region of the head or neck [3], though the boundary of such conditions remains incompletely defined.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Systems Approach to Primary Headache Diagnosis

Keight

Aljaaf

Al‐Jumeily

et al. 2017

Intelligent Computing Theories and Application

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Abstract. In this study, the problem of primary headache diagnosis is considered, referring to multiple frames of reference, including the complexity characteristics of living systems, the limitation of human information processing, the enduring nature of headache throughout history, and the potential for intelligent systems paradigms to both broaden and deepen the scope of such diagnostic solutions. In particular, the use of machine learning is recruited for this study, for which a dataset of 836 primary headache cases was considered, originating from two medical centres located in Turkey. Five primary headache classes were derived from the data obtained, namely Tension Type Headache (TTH), Chronic Tension Type Headache (CTTH), Migraine With Aura (MwA), Migraine Without Aura (MwoA), followed by Trigeminal Autonomic Cephalalgia (TAC). A total of 9 machine learning based classifiers, ranging from linear to non-linear ensembles, in addition to 1 random baseline procedure, were evaluated within a supervised learning setting, yielding highest performance outcomes of AUC 0.985, sensitivity 1, and specificity 0.966. The study concludes that modern computing platforms represent a promising setting through which to realise intelligent solutions, which in turn support the space of analytical operations needed to drive forward diagnostic capability in the primary headache domain and beyond.

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“…The modern era of headache classification is further preceded by historical interpretations [21], including work by Christian Baur in 1787, in which a total of 84 categories are described and broadly divided into "idiopathic" and "symptomatic", reflecting the notion of primary and secondary headaches, in addition to the work of Thomas Willis, recognised as a founder of modern neurological thought [22]. The depth of history surrounding headache conditions highlights both the enduring and elusive nature of the phenomenon, for which further review can be found in [23]- [25].…”

Section: Background To Headache Classificationmentioning

confidence: 99%

Towards the discrimination of primary and secondary headache: An intelligent systems approach

Keight

Al‐Jumeily

Hussain

et al. 2017

2017 International Joint Conference on Neural Networks (IJCNN)

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Abstract-We consider the use of intelligent systems to address the long-standing medical problem of diagnostic differentiation between harmful (secondary) and benign (primary) headache conditions. In secondary headaches, the condition is caused by an underlying pathology, in contrast to primary headaches where the production of pain represents the sole constituent of the disorder. Conventional diagnostic paradigms carry an unacceptable risk of misdiagnosis, leaving patients open to potentially catastrophic consequences. Intelligent systems approaches, grounded in artificial intelligence, are adopted in this study as a potential means to unite contributions from multiple settings, including medicine, the life sciences, pervasive computation, sensor technologies, and autonomous intelligent agency, in the fight against headache uncertainty. In this paper, we therefore present the first steps in our research towards a data intensive, unified approach to headache dichotomisation. We begin by presenting a background to headache and its classification, followed by analysis of the space of confounding symptoms, in addition to the problem of primary and secondary condition discrimination. Finally, we proceed to report results of a preliminary case study, in which the epileptic seizure is considered as a manifestation of a headache generating neuropathology. It was found that our classification approach, based on supervised machine learning, represents a promising direction, with a best area under curve test outcome of 0.915. We conclude that intelligent systems, in conjunction with biosignals, could be suitable for classification of a more general set of pathologies, while facilitating the medicalisation of arbitrary settings.

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Headaches in antiquity and during the early scientific era

Cited by 45 publications

References 12 publications

Living With Migraine Headache

Living With Migraine Headache

An Intelligent Systems Approach to Primary Headache Diagnosis

Towards the discrimination of primary and secondary headache: An intelligent systems approach

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