Collective, unruly, and becoming

Online contexts offer an important source of information and emotional support for those facing involuntary childlessness. This article reports the results from an ethnographic exploration of TTC (trying-to-conceive) communication on Instagram. Through a new materialist approach that pays attention to the web of intraacting agencies in online communication, this article explores the question of what material-discursive bodies (constructs of embodiment and medical information) emerge in TTC communication as the result of shared images and narratives of bodies, symptoms, fertility treatments, and reproductive technologies. Drawing on a lengthy ethnographic immersion, observations of 394 Instagram accounts, and the close analysis of 100 posts, the study found that TTC communication produces collective, unruly, and becoming bodies. Collective bodies reflect collectively acquired, solidified, and contested medical knowledge and bodies produced in TTC communication. Unruly bodies are bodies that do not conform to standard medical narratives. Becoming bodies are marked by their shifting agency, such as pregnant or fetal bodies.

Epilepsy in Dostoevsky’s The Idiot - Language, Stigma, and Mythology

Around 400 BC, Areatus -- one of Hippocrates’ pupils, proclaimed ‘epilepsy is an illness of various shapes and horrible’. Later, Areatus was also one of the people who called the disease ‘sacred’; according to them, a deity had sent a demon to possess the patient, or the patient had been cursed by the moon. The Hippocratic physicians were among the first to attempt to separate the scientific and the cultural/fictional discourses. However, even till the late nineteenth century, medical narratives were intertwined with the fictional narratives that surrounded epilepsy, and these narratives contributed significantly towards the stigma that has historically been associated with the disease. This paper will examine how medical and non-medical discourses shaped the representation of epilepsy and contributed to the cultural mythology surrounding epilepsy. In the course of this paper, the author will specifically focus on Dostoevsky’s The Idiot, in which the reader sees the author’s personal view of epilepsy, cleverly accommodated into the character of Prince Myshkin, who is surrounded by social stigmatisation. Dostoevsky suffered from epilepsy for a major part of his life, and he maintained detailed accounts of his seizures. His epilepsy had a huge influence on his writings and his perception of the world. Dostoevsky’s epilepsy has been seen as particularly relevant, since being an epileptic himself, his works provide the reader with an insight into the disease which is hard to find elsewhere.

Anonymization Framework for Securing Protected Health Information in a Complex Dataset of Medical Narratives

It is imperative in a medical domain that protection of information does not allow an individual to be overlooked. In medical domain, research community encourages use of real-time datasets for research purposes. These real-time datasets contain structured and unstructured (natural language free text) information that can be useful to researchers in various disciplines including computational linguistics. On the other hand, these real-time datasets cannot be distributed without anonymization of Protected Health Information (PHI). The information of PHI (such as Name, age, address, etc.) that can identify an individual is unethical. Therefore, we present a rule-based Natural Language Processing (NLP) anonymization system using a challenging corpus containing medical narratives and ICD-10 codes (medical codes). This anonymization module can be used for pre-processing the corpus containing identifiable information. The corpus used in this research contains '2534' PHIs in '1984' medical records in total. 15% of the labelled corpus was used for improvement of guidelines in the identification and classification of PHI groups and 85% was held for the evaluation. Our anonymization system follows two step process: (1) Identification and cataloging PHIs with four PHI categories ('Patients Name', 'Doctors Name', 'Other Name [Names other than patients and doctors]', 'Place Name'), (2) Anonymization of PHIs by replacing identified PHIs with their respective PHI categories. Our method uses basic language processing, dictionaries, rules and heuristics to identify, classify and anonymize PHIs with PHI categories. We use standard metrics for evaluation and our system outperforms against human annotated gold standard with 100% of F-measure by increasing 39% from baseline results, which proves the reliability of data usage for research.

Invention Questions for Intercultural Understanding: Situating Regulatory Medical Narratives as Narrative Forms

Patient safety narratives are a globally mandated format for representing individual patient experiences, and they include peer-reviewed case reports and narrative medicine. The authors show how the humanistic values described by Carolyn Miller in 1979 could enhance or contribute to international health and medical communication in relation to such narratives. They do so by expanding on twenty-first century work by Bowdon and Scott to provide a framework for considering how narrative competence and narrative humility may allow technical communicators to strengthen their practices within technical communication and the rhetorics of health and science by examining an individual problem within its broader, intercultural contexts.

Women’s Ageing as Disease

In the medical humanities, there has been a growing interest in diagnosing disease in fictional characters, particularly with the idea that characters in Charles Dickens’s novels may be suffering from diseases recognised today. However, an area that deserves greater attention is the representation of women’s ageing as disease in Victorian literature and medical narratives. Even as Victorian doctors were trying to cure age-related illnesses, they continued to employ classical notions of unhealthy female ageing. For all his interest in medical matters, the novelist Charles Dickens wrote about old women in a similar vein. Using close reading to analyse Victorian gerontology alongside Charles Dickens’s novels Dombey and Son (1848) and Great Expectations (1861), this article examines narratives of female ageing as disease. It concludes by pointing to the ways that Victorian gerontology impacts on how we view women’s ageing as ‘diseased’ today.

The Brain and the Living World in Janet Frame’s Faces in the Water

Mary Wood examines New Zealander Janet Frame’s representations of the human brain as “mysterious entity” on the borders of humanness in Faces in the Water. Wood argues Frame resists existing medical narratives of the brain which sought to know, in inherently ethnocentric ways, human insides only by their material shell—the skull. The feminized postcolonial body of Frame’s character is, Wood concludes, paradoxically threatened by the reduction of her mind to dead matter, as well as able to find new agency by associating her self across fleshly boundaries, finding the seat of her identity to be co-located in the surrounding landscape of her decolonized environment.

DESIGN OF IDENTIFICATION OF SINGLE DEPRESSION DISORDERS USING NATURAL LANGUAGE PROCESSING MODEL IN PATIENT COMPLAINTS

Unconsciously mental disorders often begin with mild symptoms such as anxiety and depression. In cases of depression with long periods of time can result in disruption of a person's mindset and suicidal arising. Based on WHO data in 2010 suicide rates due to depression in Indonesia reached 1.6 to 1.8 per 100,000 people. Unfortunately the symptoms of depressive disorders are often difficult to recognize because a series of patient complaints are in the form of medical narratives or unstructured texts written by doctors. So to get a diagnosis is done by extracting symptoms from complaints data in the form of medical narrative texts. In this study, a design for identifying a single depressive disorder will be built using rule-based reasoning and the Natural Language Processing approach to extract symptoms in a medical narrative or patient complaint text.