Icd-10

Winters-Miner, Linda A.; Bolding, Pat S.; Hilbe, Joseph M.; Goldstein, Mitchell; Hill, Thomas; Nisbet, Robert; Walton, Nephi; Miner, Gary

doi:10.1016/b978-0-12-411643-6.00008-9

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…This ontology focuses on concepts, relations, constraints, and rules about general care for patients with ADRD, diet guidelines for ADRD, each patient’s profile, and each caregiver’s profile. We thus enrich and extend our knowledge with existing (semi)structured knowledge, for example, by adding knowledge related to disease (Unified Medical Language System [ 24 ], SNOMED Clinical Terms [ 25 ], International Statistical Classification of Diseases and Related Health Problems, 10th revision [ 26 ]), drugs (DrugBank [ 27 ]), and food and nutrition (United States Department of Agriculture’s [USDA’s] FoodData Central [ 28 ]). Currently, we have integrated only the USDA’s FoodData Central for detailed food and nutrition knowledge within the system.…”

Section: Methodsmentioning

confidence: 99%

A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

Maharjan

Xie

et al. 2020

J Med Internet Res

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Background The world’s aging population is increasing, with an expected increase in the prevalence of Alzheimer disease and related dementias (ADRD). Proper nutrition and good eating behavior show promise for preventing and slowing the progression of ADRD and consequently improving patients with ADRD’s health status and quality of life. Most ADRD care is provided by informal caregivers, so assisting caregivers to manage patients with ADRD’s diet is important. Objective This study aims to design, develop, and test an artificial intelligence–powered voice assistant to help informal caregivers manage the daily diet of patients with ADRD and learn food and nutrition-related knowledge. Methods The voice assistant is being implemented in several steps: construction of a comprehensive knowledge base with ontologies that define ADRD diet care and user profiles, and is extended with external knowledge graphs; management of conversation between users and the voice assistant; personalized ADRD diet services provided through a semantics-based knowledge graph search and reasoning engine; and system evaluation in use cases with additional qualitative evaluations. Results A prototype voice assistant was evaluated in the lab using various use cases. Preliminary qualitative test results demonstrate reasonable rates of dialogue success and recommendation correctness. Conclusions The voice assistant provides a natural, interactive interface for users, and it does not require the user to have a technical background, which may facilitate senior caregivers’ use in their daily care tasks. This study suggests the feasibility of using the intelligent voice assistant to help caregivers manage patients with ADRD’s diet.

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Section: Methodsmentioning

confidence: 99%

A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

Maharjan

Xie

et al. 2020

J Med Internet Res

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“…This study is a single-center retrospective cohort study on the survival rate of lung cancer patients with brain metastasis in China. From December 2013 to August 2021, lung cancer patients with brain metastasis coded C34 and secondary invasive C79.3 were screened from the West China Hospital of Sichuan University database according to the 10th edition of the International Classification of Diseases for Oncology ( 18 ).…”

Section: Methodsmentioning

confidence: 99%

Association of smoking with the survival of patients with brain metastasis of lung cancer

Liu²,

He³

et al. 2023

Front. Neurol.

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BackgroundSmoking is associated with increased mortality in patients with cancer. However, there are limited data on the impact of smoking on the survival of patients with brain metastases. Therefore, this study aimed to evaluate whether smoking was associated with survival and whether smoking cessation was beneficial to these patients.MethodsThis study used lung cancer with a brain metastasis cohort of the West China Hospital of Sichuan University from 2013 to 2021. Patients were stratified according to smoking history; the distribution, clinical characteristics, and survival data of each group were estimated. Kaplan-Meier analysis and risk analysis were performed for the survival endpoint.ResultsOf the 2,647 patients included in the analysis, the median age was 57.8 years, and 55.4% were men. Among them, 67.1% had no smoking history, 18.9% still smoked, and 14% reported quitting smoking. Compared with never smokers, current smokers [HR, 1.51 (95% CI, 1.35-1.69), p < 0.01] and former smokers [HR, 1.32 (95% CI, 1.16-1.49), p<0.01] had an increased risk of death. However, quitting smoking was not associated with improved survival [HR, 0.90 (95% CI, 0.77-1.04), p = 0.16]. The overall survival increased with the increase of smoking cessation years.ConclusionsIn lung cancer patients with brain metastases, smoking was associated with an increased risk of death, but quitting smoking was not associated with improved survival.

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The Biopsychosocial Welfare State: A Theoretical Framework

Reibling,

Bleckmann

2023

Toward a Biopsychosocial Welfare State?

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Medicalization and psychologization have developed as two separate concepts. In this chapter, Reibling and Bleckmann introduce the reader to both bodies of literature and provide a basic introduction to the processes behind the concepts. The authors argue that medicine and psychology should not be subsumed under a therapeutization framework and that instead, comparing the two processes highlights the relevance of the specifics of both disciplines. Central to this discussion are questions regarding the causes of the medicalization and psychologization of social problems as well as regarding the consequences of these processes. Reibling and Bleckmann provide extensive answers to these questions based on the literature and additionally offer their own take on medicalization and psychologization.

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Icd-10

Cited by 4 publications

References 6 publications

A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

Association of smoking with the survival of patients with brain metastasis of lung cancer

The Biopsychosocial Welfare State: A Theoretical Framework

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