Through hypothetical scenarios, this paper analyses whether machine learning (ML) could resolve one of the main shortcomings present in Christopher Boorse’s Biostatistical Theory of health (BST). In doing so, it foregrounds the boundaries and challenges of employing ML in formulating a naturalist (i.e., prima facie value-free) definition of health. The paper argues that a sweeping dataist approach cannot fully make the BST truly naturalistic, as prior theories and values persist. It also points out that supervised learning introduces circularity, rendering it (...) incompatible with a naturalistic perspective. Additionally, it underscores the need for pre-existing auxiliary theories to assess results from unsupervised learning. It emphasizes the importance of understanding the epistemological entanglements between data and data processing methods to manage expectations about what data patterns can predict. In conclusion, the paper argues against delegating the final authority for defining complex concepts like health to AI systems, as it necessitates ethical judgment and capacities for deliberation that AI currently lacks. It also warns against granting creators and deployers of AI systems the discretionary authority to determine these definitions outside the wider social discussion, advocating for ongoing public engagement on normative notions. Failure to do so risks limiting individuals and collectives’ ability to shape a just digital future and diminishes their fundamental epistemic agency. (shrink)

This paper seeks to develop a theory of health that aligns with the shift in contemporary medical practice and research toward a temporally extended epidemiological view of health. The paper describes how such a theory is at the core of life course based approaches to health, and finds theoretical grounding in recent work in the philosophy of biology promulgating a process theory of life.

There are great health disparities in the world today, both between countries and within them. This problem might be seen as related to the access to various kinds of capabilities. It is not fully clear, however, what the exact relation is between health and capabilities. Neither Amartya Sen nor Martha Nussbaum has explicitly formulated a theory of health to go with their theories of capabilities. This paper attempts to present a clarification of the conceptual relation between health and capabilities. Health, (...) it is argued, should be seen as a holistic multi-dimensional phenomenon, made up of basic abilities and subjective well-being, and of fundamental states and processes. Using this theory, the paper shows how health is related to Nussbaum’s ten capabilities. It is argued that health, in the senses described, is a necessary part of all ten capabilities. Moreover, some of the capabilities on Nussbaum’s list, such as thinking and imagining, and practical reasoning, refer to health. Finally, it is shown that even though health is part of all capabilities, health cannot itself primarily be seen as a capability. An acceptable degree of health is required as a functioning for any theory of human flourishing to be reasonable. (shrink)

Entwhistle and Watt (2013) make an important contribution to the person-centred view of health care by reframing past thinking on the subject in terms of the capability approach. Past thinking about person-centred care employs a range of normative values that are arguably supportive of the concept of a person. But ironically these values are not clearly grounded in any account of what the person is. Thus, it is not clear what anchors these values and so how they are to be (...) interpreted. (shrink)

Barriers to accessing primary, specialty, and preventive healthcare among rural Hispanic immigrant residents in the United States are examined using ecological systems theory and a capabilities approach perspective. National and rural Latino population demographics are described with a focus on healthcare obstacles frequently encountered by rural Hispanic populations. Possible systemic solutions for accessible and culturally competent medical care to address rural access disparities among rural Latino populations are presented.