Home Medication for Elderly Sick People

Ahmed, Asif; Ruman, Md. Raseduzzaman; Barua, Amit

doi:10.1109/icaee48663.2019.8975618

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…The use of systems to avoid medication errors at the hospital and home medication at home is vast. For example, Ahmed and coworkers [24] developed an automatic drug dispensing system. Mobile phone applications are also numerous [25] [26].…”

Section: Introductionmentioning

confidence: 99%

Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot

Salgado¹,

Perdicoúlis²

2021

IJNLC

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In this work, the subtractive mountain clustering algorithm has been adapted to the problem of natural languages processing in view to construct a chatbot that answers questions posed by the user. The implemented algorithm version allosws for the association of a set of words into clusters. After finding the centre of every cluster — the most relevant word, all the others are aggregated according to a defined metric adapted to the language processing realm. All the relevant stored information (necessary to answer the questions) is processed, as well as the questions, by the algorithm. The correct processing of the text enables the chatbot to produce answers that relate to the posed queries. Since we have in view a chatbot to help elder people with medication, to validate the method, we use the package insert of a drug as the available information and formulate associated questions. Errors in medication intake among elderly people are very common. One of the main causes for this is their loss of ability to retain information. The high amount of medicine intake required by the advanced age is another limiting factor. Thence, the design of an interactive aid system, preferably using natural language, to help the older population with medication is in demand. A chatbot based on a subtractive cluster algorithm is the chosen solution.

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Section: Introductionmentioning

confidence: 99%

Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot

Salgado¹,

Perdicoúlis²

2021

IJNLC

View full text Add to dashboard Cite

show abstract

“…The use of systems to avoid medication errors at the hospital and home medication at home is vast. For example, Ahmed and coworkers [7] developed an automatic drug dispensing system. Mobile phone applications are also numerous [8] [9].…”

Section: Introductionmentioning

confidence: 99%

Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake

Clar¹,

Salgado²,

Perdicoúlis³

2021

Preprint

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Errors in medication intake among elderly people are very common. One of the main causes for this is their loss of ability to retain information. The high amount of medicine intake required by the advanced age is another limiting factor. Thence, the design of an interactive aid system, preferably using natural language, to help the older population with medication is in demand. A chatbot based on a subtractive cluster algorithm, included in unsupervised learned models, is the chosen solution since the processing of natural languages is a necessary step in view to construct a chatbot able to answer questions that older people may pose upon themselves concerning a particular drug. In this work, the subtractive mountain clustering algorithm has been adapted to the problem of natural languages processing. This algorithm version allows for the association of a set of words into clusters. After finding the centre of every cluster -the most relevant word, all the others are aggregated according to a defined metric adapted to the language processing realm. All the relevant stored information is processed, as well as the questions, by the algorithm. The correct processing of the text enables the chatbot to produce answers that relate to the posed queries. To validate the method, we use the package insert of a drug as the available information and formulate associated questions.

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A Systematic Review on Pill and Medication Dispensers from a Human-Centered Perspective

Gargioni,

Fogli,

Baroni

2024

J Healthc Inform Res

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As medication adherence represents a critical challenge in healthcare, pill and medication dispensers have gained increasing attention as potential solutions to promote adherence and improve patient outcomes. Following the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) methodology, we carried out a systematic literature review on papers indexed in Scopus and PubMed, which present solutions for pill or medication dispensers. Given the importance of user acceptance for these solutions, the research questions of the survey are driven by a human-centered perspective. We first provide an overview of the different solutions, classifying them according to their stage of development. We then analyze each solution considering its hardware/software architecture. Finally, we review the characteristics of user interfaces designed for interacting with pill and medication dispensers and analyze the involvement of different types of users in dispenser management. On the basis of this analysis, we draw findings and indications for future research that are aimed to provide insights to healthcare professionals, researchers, and designers who are interested in developing and using pill and medication dispensers.

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Home Medication for Elderly Sick People

Cited by 5 publications

References 1 publication

Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot

Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot

Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake

A Systematic Review on Pill and Medication Dispensers from a Human-Centered Perspective

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