A smart phone application for the mothers of premature infants (Preprint)

2018 ◽  
Author(s):  
Haleh Ayatollahi ◽  
Aynaz Nourani ◽  
Kayvan Mirnia
Keyword(s):  
Health Care ◽  
Premature Infants ◽  
Mobile Application ◽  
Information Needs ◽  
Smart Phone ◽  
Second Phase ◽  
Emotional Needs ◽  
Physical Conditions ◽  
Two Phases ◽  
Smart Phone Application

BACKGROUND Considering the large number of premature infants and the importance of providing health care, clinical examinations, and home care for them, mothers should be trained and necessary information should be given to them. OBJECTIVE The aim of this research was to develop a mobile application to educate mothers of premature infants. METHODS This research was completed in 2017 and carried out in two phases. In the first phase, the information needs of mothers (n=60) were investigated. In the second phase, a prototype of the mobile application was developed based on the results derived from the first phase. Finally, the mobile application was evaluated by using a standard questionnaire. RESULTS The mobile application covered four main areas, including "physical conditions and emotional needs", "nutrition, sleep and hygiene", "medical and nursing needs" and "vaccination and growth curve". The results of the usability testing showed that the users were satisfied with the application. CONCLUSIONS Mothers of premature infants tend to increase their knowledge about their infant’s requirements. The mobile application designed in the current study can help mothers to be informed about the premature infants' requirements. Further research is required to evaluate the effectiveness of using this mobile application.

scholarly journals Volunteering via Smart-Phone for People With Psychosis—Protocol of a Feasibility Trial

2021 ◽  
Vol 12 ◽  
Author(s):  
Mariana Pinto da Costa ◽  
Phone Pal Advisory Groups
Keyword(s):  
Smart Phone ◽  
Outcome Data ◽  
Text Messages ◽  
Feasibility Trial ◽  
Second Phase ◽  
Retention Data ◽  
The United Kingdom ◽  
Two Phases ◽  
Communication Methods

The literature suggests that volunteering can be used to address social isolation and support patients with psychosis in the community. However, many expect in person meetings, requiring a greater effort of availability and commitment. There is therefore a need for more flexible, easily accessible support. Volunteering via smart-phone could be a useful intervention for people with psychosis. One patient and one volunteer have been matched for a duration of 12 weeks, and participants have been encouraged to communicate through a variety of communication methods (audio calls, video calls, text messages, WhatsApp messages and e-mails). The Phone Pal study aimed to investigate the feasibility of recruitment, participant retention, data collection procedures, intervention usage of the methods of communication and changes in outcome data. At baseline and follow-up outcome measures collected from patients and volunteers included their quality of life, physical activity, self-esteem and social comparison. Additional outcomes assessed patients' attachment, social contacts and symptoms; for volunteers, their social distance was evaluated. At follow-up both patients and volunteers rank their perception of their relationship with each other. This mixed method feasibility study has been conducted in two phases, the first stage evaluating a smaller sample of patients and volunteers recruited in London, and then a second phase with a larger sample of volunteers recruited from across the United Kingdom.Trial registration: ISRCTN17586238.

A Smart Phone Application for the Mothers of Premature Infants

IRBM ◽  
2019 ◽  
Vol 40 (5) ◽  
pp. 263-269 ◽  
Author(s):  
A. Nourani ◽  
H. Ayatollahi ◽  
K. Mirnia
Keyword(s):  
Premature Infants ◽  
Smart Phone ◽  
Smart Phone Application

scholarly journals Medicine Box: Doctor’s Prescription Recognition Using Deep Machine Learning

2018 ◽  
Vol 7 (3.34) ◽  
pp. 114 ◽  
Author(s):  
Dr E.Kamalanaban ◽  
M Gopinath ◽  
S Premkumar
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Mobile Application ◽  
Smart Phone ◽  
National Academy Of Sciences ◽  
Digital Text ◽  
Handwritten Document ◽  
Academy Of Sciences ◽  
Smart Phone Application

A Doctor’s prescription is a handwritten document written by doctors in the form of instructions that describes list of drugs for patients in time sickness, injuries and other disability problems. While we receiving a new prescription from doctor, it is unable to understand what drug name is prescribed on it. In most cases, however, we wouldn't be able to read it anyway because doctors use Latin abbreviations and medical terminologies on prescriptions that are not understandable by the general persons which make reading it very difficult. According to the National Academy of Sciences estimates that at least 1.5 million peoples are sickened, injured or killed each year by errors while reading prescription. This paper resolves the problems in doctor’s prescriptions through Medicine Box, and Smart phone application that uses Conventional Neural Network (CNN) to recognize handwritten medicine names and return readable digital text. This mobile application uses TensorFlow as the machine learning library, and Custom Repository to match the partial string with the drug name. With Medicine Box, cases of misinterpretation of medicine names can be decreased. This makes the ordinary persons to understand what doctor is prescribed in the prescription and also help for pharmacists.  

Smart Cataract Detector

2020 ◽  
pp. 246-262
Author(s):  
M. Manikandakumar
Keyword(s):  
Image Processing ◽  
Mobile Technology ◽  
Mobile Application ◽  
Smart Phone ◽  
Eye Disease ◽  
Poor People ◽  
Eye Injuries ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Smart Phone Application

Eyes react to light. Cataract, a common eye disease, clouds the lens of the eye, which decreases vision and can cause blindness. It can be in one or both eyes. The most major cause of cataract is ageing. Cataract also can be found in children and can occur due to eye injuries and inflammation. As mobile technology emerges to a greater extent, designing an application would help people perform a self check-up without meeting the doctors in person, thus saving time and cost. The pre-diagnosis of cataracts is costly for poor people. Time taken by the machine to detect cataract is greater, so the doctor can't attend as many patients. A cheap, reliable mobile application that helps diagnose cataract would cut cost and simplify diagnosis. This chapter proposes the development of smart phone application to detect the presence of cataract using image processing techniques.

Accurate Detection and Quantization of Leaf- Diseases through Soft Computing

2018 ◽  
Vol 1 (1) ◽  
pp. 236-247
Author(s):  
Divya Srivastava ◽  
Rajitha B. ◽  
Suneeta Agarwal
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Agricultural Production ◽  
Bacterial Blight ◽  
Early Stage ◽  
Second Phase ◽  
Computationally Efficient ◽  
Stage Of Disease ◽  
Accurate Detection ◽  
Two Phases

Diseases in leaves can cause the significant reduction in both quality and quantity of agricultural production. If early and accurate detection of disease/diseases in leaves can be automated, then the proper remedy can be taken timely. A simple and computationally efficient approach is presented in this paper for disease/diseases detection on leaves. Only detecting the disease is not beneficial without knowing the stage of disease thus the paper also determine the stage of disease/diseases by quantizing the affected of the leaves by using digital image processing and machine learning. Though there exists a variety of diseases on leaves, but the bacterial and fungal spots (Early Scorch, Late Scorch, and Leaf Spot) are the most prominent diseases found on leaves. Keeping this in mind the paper deals with the detection of Bacterial Blight and Fungal Spot both at an early stage (Early Scorch) and late stage (Late Scorch) on the variety of leaves. The proposed approach is divided into two phases, in the first phase, it identifies one or more disease/diseases existing on leaves. In the second phase, amount of area affected by the disease/diseases is calculated. The experimental results obtained showed 97% accuracy using the proposed approach.

Representação e simbolismo: artes visuais na fronteira Brasil/Bolívia

2020 ◽  
Vol 4 (3) ◽  
pp. 286
Author(s):  
Paulo César Antonini de Souza ◽  
Derick Trindade Bezerra
Keyword(s):  
Visual Arts ◽  
Social Order ◽  
Research Field ◽  
Border Region ◽  
Second Phase ◽  
Two Dimensional ◽  
Santa Cruz ◽  
Cultural Conditions ◽  
Two Phases ◽  
America Latina

ResumoTendo por campo de investigação o Festival da América do Sul Pantanal (FASP) em 2018, na cidade de Corumbá (Brasil), objetiva-se identificar a materialidade e conceitos que permeiam as manifestações artísticas bidimensionais nesta região de fronteira, a partir da percepção de artistas da Bolívia. A pesquisa se organizou em duas fases: na primeira foi realizado um levantamento em plataformas online de produções acadêmicas em artes visuais, com foco no trabalho bidimensional, utilizando os descritores “arte popular” e “estética latina” resultando em três artigos. Na segunda fase foram selecionados dois trabalhos de uma artista da Bolívia, participante da mostra “Conexão Santa Cruz”, realizada durante o FASP 2018, que foram analisados em seus níveis representacional e simbólico. Pela interpretação das imagens foi possível construir uma leitura sobre a perspectiva da artista a respeito de suas condições culturais dentro da ordenação social em que se encontra situada.Palavras-chave: Artes Visuais. Arte Popular. Arte Regional. América Latina. Representation and symbolism: visual arts on the Brazil/Bolivia frontierAbstractHaving as research field the Festival da América do Sul Pantanal (FASP) in 2018, in the city of Corumbá (Brazil), the objective is to identify the materiality and concepts that permeate the two-dimensional artistic manifestations in this border region, from the perception of artists from Bolivia. The research was organized in two phases: in the first, a survey was carried out on online platforms of academic productions in visual arts, focusing on two-dimensional work, using the descriptors “arte popular” and “estética latina” resulting in three articles. In the second phase, two works were selected by an artist from Bolivia, participating in the exhibition “Conexão Santa Cruz”, held during FASP 2018, which were analyzed at their representational and symbolic levels. Through the interpretation of the images, it was possible to construct a reading on the artist’s perspective regarding her cultural conditions within the social order in which she is located.Keywords: Visual Arts. Folk Art. Regional Art. Latin America.Representación y simbolismo: artes visuales en la frontera de Brasil/BoliviaResumenTeniendo como campo de investigación el Festival de Sudamérica Pantanal (FASP) en 2018, en la ciudad de Corumbá (Brasil), el objetivo es identificar la materialidad y conceptos que permean las manifestaciones artísticas bidimensionales en esta región fronteriza, desde la percepción de artistas de Bolivia. La investigación se organizó en dos fases: en la primera, se realizó una encuesta en plataformas online de producciones académicas en artes visuales, con foco en el trabajo bidimensional, utilizando los descriptores “arte popular” y “estética latina” dando como resultado tres artículos. En la segunda fase, dos obras fueron seleccionadas por un artista de Bolivia, participante de la exposición “Conexão Santa Cruz”, realizada durante FASP 2018, que fueron analizadas en sus niveles representativos y simbólicos. A través de la interpretación de las imágenes, fue posible construir una lectura sobre la perspectiva de la artista sobre sus condiciones culturales dentro del orden social en el que se ubica.Palabras clave: Artes Visuales. Arte Popular. Arte Regional. América Latina.

Psychometric evaluation of the Mobile Application Rating Scale (MARS) (Preprint)

2020 ◽  
Author(s):  
Yannik Terhorst ◽  
Paula Philippi ◽  
Lasse Sander ◽  
Dana Schultchen ◽  
Sarah Paganini ◽  
...  
Keyword(s):  
Health Care ◽  
Construct Validity ◽  
Mobile Application ◽  
Concurrent Validity ◽  
Rating Scale ◽  
Psychometric Evaluation ◽  
Confirmatory Factor ◽  
Health Domains ◽  
Psychometric Quality

BACKGROUND Mobile health apps (MHA) have the potential to improve health care. The commercial MHA market is rapidly growing, but the content and quality of available MHA are unknown. Consequently, instruments of high psychometric quality for the assessment of the quality and content of MHA are highly needed. The Mobile Application Rating Scale (MARS) is one of the most widely used tools to evaluate the quality of MHA in various health domains. Only few validation studies investigating its psychometric quality exist with selected samples of MHAs. No study has evaluated the construct validity of the MARS and concurrent validity to other instruments. OBJECTIVE This study evaluates the construct validity, concurrent validity, reliability, and objectivity, of the MARS. METHODS MARS scoring data was pooled from 15 international app quality reviews to evaluate the psychometric properties of the MARS. The MARS measures app quality across four dimensions: engagement, functionality, aesthetics and information quality. App quality is determined for each dimension and overall. Construct validity was evaluated by assessing related competing confirmatory models that were explored by confirmatory factor analysis (CFA). A combination of non-centrality (RMSEA), incremental (CFI, TLI) and residual (SRMR) fit indices was used to evaluate the goodness of fit. As a measure of concurrent validity, the correlations between the MARS and 1) another quality assessment tool called ENLIGHT, and 2) user star-rating extracted from app stores were investigated. Reliability was determined using Omega. Objectivity was assessed in terms of intra-class correlation. RESULTS In total, MARS ratings from 1,299 MHA covering 15 different health domains were pooled for the analysis. Confirmatory factor analysis confirmed a bifactor model with a general quality factor and an additional factor for each subdimension (RMSEA=0.074, TLI=0.922, CFI=0.940, SRMR=0.059). Reliability was good to excellent (Omega 0.79 to 0.93). Objectivity was high (ICC=0.82). The overall MARS rating was positively associated with ENLIGHT (r=0.91, P<0.01) and user-ratings (r=0.14, P<0.01). CONCLUSIONS he psychometric evaluation of the MARS demonstrated its suitability for the quality assessment of MHAs. As such, the MARS could be used to make the quality of MHA transparent to health care stakeholders and patients. Future studies could extend the present findings by investigating the re-test reliability and predictive validity of the MARS.

scholarly journals Development and validation of a short version of the Sarcopenia Quality of Life questionnaire: the SF-SarQoL

2021 ◽  
Author(s):  
A. Geerinck ◽  
C. Beaudart ◽  
J.-Y. Reginster ◽  
M. Locquet ◽  
C. Monseur ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Short Form ◽  
Reduction Process ◽  
Community Dwelling ◽  
Short Version ◽  
Second Phase ◽  
Life Questionnaire ◽  
Quality Of Life Questionnaire ◽  
Two Phases

Abstract Purpose To facilitate the measurement of quality of life in sarcopenia, we set out to reduce the number of items in the previously validated Sarcopenia Quality of Life (SarQoL®) questionnaire, and to evaluate the clinimetric properties of this new short form. Methods The item reduction process was carried out in two phases. First, information was gathered through item-impact scores from older people (n = 1950), a Delphi method with sarcopenia experts, and previously published clinimetric data. In the second phase, this information was presented to an expert panel that decided which of the items to include in the short form. The newly created SFSarQoL was then administered to older, community-dwelling participants who previously participated in the SarcoPhAge study. We examined discriminative power, internal consistency, construct validity, test–retest reliability, structural validity and examined item parameters with a graded response model (IRT). Results The questionnaire was reduced from 55 to 14 items, a 75% reduction. A total of 214 older, community-dwelling people were recruited for the validation study. The clinimetric evaluation showed that the SF-SarQoL® can discriminate on sarcopenia status [EWGSOP2 criteria; 34.52 (18.59–43.45) vs. 42.86 (26.56–63.69); p = 0.043], is internally consistent (α = 0.915, ω = 0.917) and reliable [ICC = 0.912 (0.847–0.942)]. A unidimensional model was fitted (CFI = 0.978; TLI = 0.975; RMSEA = 0.108, 90% CI 0.094–0.123; SRMR = 0.055) with no misfitting items and good response category separation. Conclusions A new, 14-item, short form version of the Sarcopenia Quality of Life questionnaire has been developed and shows good clinimetric properties.

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