Prediction of Diabetes Using Internet of Things (IoT) and Decision Trees: SLDPS

Allugunti, Viswanatha Reddy; Reddy, Chandan K.; Elango, N. M.; Anisha, P. R.

doi:10.1007/978-981-15-5679-1_43

Cited by 14 publications

(5 citation statements)

References 8 publications

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“…ChatGPT's applications in education are diverse and promising. In the United States, the integration of ChatGPT into higher education administrative processes, as evidenced in Case 1, enhances efficiency in admissions, enrollment, and financial aid [27][28][29][30][31]. Additionally, in India, Case 2 illuminates ChatGPT's role in K-12 education, providing virtual classroom support and real-time explanations, thereby enriching the learning experience [14].…”

Section: Applications In Educationmentioning

confidence: 99%

Revolutionizing Interaction: Exploring the Impact of Chatgpt in Education

Fatima

2024

IJABMR

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This study investigates the transformative influence of ChatGPT in education, exploring its impact on administrative processes and academic support. Utilizing the GPT-3.5 architecture, ChatGPT has emerged as a paradigm-shifting language model, reshaping interactions in the ever-evolving field of natural language processing. Delving into its applications, the research showcases ChatGPT's commendable performance in economic analyses while addressing challenges in mathematical domains. The core focus centers on its dynamic integration into the educational landscape and the paper navigates beyond foundational models to assess ChatGPT's practical manifestations in educational settings. A rapid review underscores its potential in elevating administrative services and academic support, presenting both opportunities and challenges that necessitate institutional adjustments. The study employs a mixed-methods approach, combining qualitative and quantitative methodologies, to holistically understand ChatGPT's effectiveness. Case studies from diverse educational contexts, including the United States, India, Singapore, and Australia, enrich the exploration, providing nuanced insights into the model's multifaceted role. Through this scholarly inquiry, the paper contributes to the discourse on integrating advanced language models like ChatGPT for the enhancement of educational processes globally.

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Section: Applications In Educationmentioning

confidence: 99%

Revolutionizing Interaction: Exploring the Impact of Chatgpt in Education

Fatima

2024

IJABMR

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“…• Omni-channel and e-commerce strategies: Supply chain management now includes Omni-channel tactics and e-commerce platforms as essential components [10]. To effectively handle inventory, order fulfillment, and customer relations, they need digital tools.…”

Section: Key Components Of Digital Transformation's Effects On Supply...mentioning

confidence: 99%

Digital Transformation's Effect on Supply Chain Management

Sathvika Reddy,

Ashritha

2024

IJABMR

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Supply chain management has seen substantial changes as a result of the digital transformation, which has an impact on its adaptability and resilience. The dual effects of digital transformation are explored in this abstract, which shows how businesses have leveraged technology to improve their supply chains' resilience to disturbances and their agility to adapt to shifting consumer expectations. In order to ensure that supply chains stay resilient and flexible in a changing business climate, the study examines strategies, tools, and best practices that have helped businesses achieve this balance. Empirical research is used in this investigation.

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“…Step 6: Applying k-nearest neighbor, naïve bayes, random forest and decision trees [37]as a multi class classi cation models for determining ve levels such as "normal, mild, moderate, severe and extremely…”

Section: Algorithm and Architecturementioning

confidence: 99%

A study of Machine Learning Methods Based Affective Disorder Detection using Multi-Class Classification

Tungana,

Hanafiah

et al. 2023

Preprint

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Psychological health issues like stress, anxiety and depression is becoming general due to various factors. Different severity levels of stress, anxiety and depression have varied impacts on people, which can lead to suicidal ideation and suicide attempts. Demographic data consists of gender, age group, marital status, education, type of employment, economic status, and living status, and 21 questions about stress, anxiety, and depression, including scores, were considered for the dataset. The proposed K-nearest neighbor model achieved maximum accuracy with 94.5% for stress and anxiety and 97.7% for depression, compared with Naive Bayes's 81.8%, 81.5%, and 83.5% as minimum accuracy for stress, anxiety, and depression, respectively, as compared with other models.

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Prediction of Diabetes Using Internet of Things (IoT) and Decision Trees: SLDPS

Cited by 14 publications

References 8 publications

Revolutionizing Interaction: Exploring the Impact of Chatgpt in Education

Revolutionizing Interaction: Exploring the Impact of Chatgpt in Education

Digital Transformation's Effect on Supply Chain Management

A study of Machine Learning Methods Based Affective Disorder Detection using Multi-Class Classification

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