Background:Digital health interventions, especially mobile apps, have become instrumental in helping women at risk of polycystic ovary syndrome (PCOS), increasing their understanding of the condition, improving self-c...
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Background:Digital health interventions, especially mobile apps, have become instrumental in helping women at risk of polycystic ovary syndrome (PCOS), increasing their understanding of the condition, improving self-care, and fostering empowerment. However, their rapid proliferation has brought about significant challenges regarding quality assessment and evidence-based determination. Therefore, establishing reliable quality assessment methods is essential to assist patients with PCOS in identifying effective and trustworthy mobile health tools.
Objective:This study was designed to assess the content and quality of mobile apps developed for patients with PCOS using the Mobile App Rating Scale (MARS) to provide insights into their strengths, limitations, and areas needing improvement.
Methods:In this descriptive-analytical study conducted in June 2024, a comprehensive search was performed to identify English and Persian mobile apps related to PCOS through the Café Bazaar and Google Play Store platforms, using both direct search methods and auxiliary tools such as AppAgg and AppBrain. Two trained reviewers (AR and NN) independently reviewed the apps using the MARS tool. The interrater reliability was measured using the intraclass correlation coefficient test. The quality of each app was scored across 4 dimensions: engagement, functionality, aesthetics, and information quality.
Results:Of the initial 199 apps identified, 15 met the inclusion criteria after screening and updates. The interrater agreement rate was 85%, which is considered acceptable. The apps' overall quality was sufficient, as assessed using the MARS, with a mean score of 3.6 (SD 0.52) of 5. Functionality and aesthetics emerged as the highest-scoring dimensions, highlighting user-friendliness and visual appeal (n=10). In contrast, engagement following information quality received the lowest average score, indicating limited interactivity and gaps in providing evidence-based information. The Ask PCOS app
This paper examines the speech recognition process. Speech recognition has two phases: the front end which comprises of preprocessing of the speech waveform and the back end which comprises of feature extraction and f...
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The power of reasoning and the ability to make better decisions has been the best gift God has bestowed upon mankind. When we developed artificial intelligence (AI) systems with the goal to think and act rationally, t...
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Software design patterns define the repeatable solution to common design problems. They don't provide a solution that can be directly used in code but rather expresses an approach to follow while designing a syste...
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In computertechnology, mutual exclusion is basically an attribute of control of concurrency, which is generally used to prevent the condition of race. There is a requirement that not more than one thread can enter a ...
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Feature extraction is a relevant method in the performance of the ASR system. A good technique not only removes irrelevant characteristics, but also represents important attributes of a speech signal. This paper inten...
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Nature-inspired optimization algorithms turned out to be progressively more accepted in modern era, and the majority of these meta-heuristic algorithms, such as 'Bat algorithm', 'Lion Algorithm', '...
Nature-inspired optimization algorithms turned out to be progressively more accepted in modern era, and the majority of these meta-heuristic algorithms, such as 'Bat algorithm', 'Lion Algorithm', 'Particle swarm optimization', 'Water wave optimization algorithm', 'Elephant herding optimization algorithm', 'Optics inspired optimization algorithm', 'Cuckoo search', 'Flower algorithms', 'Genetic algorithms', 'Differential evolution', 'Harmony search', 'Simulated annealing', and many more. This paper attempts to establish the most recent improvements concerning all main 'Nature-Inspired Algorithms' and it is strived to coat at least one hottest optimization problem related to these above-mentioned algorithms. Based on their outcomes it is established that there are a few considerable gaps between hypothesis and observe. On one side, nature-inspired algorithms for optimization are extremely successful and can acquire most favourable clarifications in a convincingly realistic time. On the other side, mathematical investigation of key characteristics of these algorithms is missing. It is extremely advantageous that researchers add on some impending into the neutrality of diverse nature-inspired algorithms and hence can obtain the dare to crack key difficulties that must be solved. The paper is extending extensively and intensifying the need to evaluate and review these various optimization algorithms. This paper is organized in a manner to provide complete description of each NIA starting from introduction then review of literature, analysis of various NIAs and finally conclusion.
In recent events, expanding consideration has been coordinated to the investigation of the emotional material of Voice signals, and thus, numerous frameworks have been proposed to distinguish the emotional material of...
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Energy efficient routing is a crucial area of research for wireless sensor network(WSN). The communication between the wireless sensor nodes is handled by the routing protocols. The nature of the link, low power and l...
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