Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction

Reddy, Shiva Shankar; Sethi, Nilambar; Rajender, R.

doi:10.3233/kes-210081

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Secondly, a large number of training contents related to professional skills, knowledge, practical experience and psychological quality are involved in the teaching process. Finally, these factors will affect the teachers' Mastery of students' personal information to varying degrees [7] .…”

Section: Main Factors Affecting College Students' Personal Portraitsmentioning

confidence: 99%

Personal Portrait Modeling of Intelligent Campus Students in Higher Vocational Colleges Based on Data Mining Algorithm

Zhang¹

2023

Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2

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With the continuous development of information processing technology in modern society, the construction of intelligent campus has become an inevitable trend.As a new teaching mode, intelligent education is attracting more and more scholars and researchers' attention. The purpose of this paper is to study the modeling of personal portrait of students in intelligent campus of higher vocational colleges based on data mining algorithm. First of all, this paper introduces the characteristics of students' personal portraits, and expounds the factors that affect students' personal portraits. Then, the association rule algorithm is studied, and based on this algorithm, the personal portrait model of students in the intelligent campus of higher vocational colleges is designed. Finally, the function of the model is verified by simulation experiments. The test results show that the intelligent campus portrait model based on data mining algorithm has the characteristics of short data processing time, low delay time, high safety factor, and is compatible with the platform, indicating that the model functions well.

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Section: Main Factors Affecting College Students' Personal Portraitsmentioning

confidence: 99%

Personal Portrait Modeling of Intelligent Campus Students in Higher Vocational Colleges Based on Data Mining Algorithm

Zhang¹

2023

Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2

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“…Using transfer learning produces fruitful outcomes. In order to recover the diabetes photos from the dataset, Reddy et al [11] used the min-max normalisation technique.…”

Section: A Introductionmentioning

confidence: 99%

Predictions of Early Hospitalization of Diabetes Patients Based on Deep Learning: A Review

Al-Atroshi,

Adnan Mohsin Abdulazeez

2024

ijcs

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Unmanaged diabetes can result in a number of complications that need to be hospitalised. Diabetes is a chronic disorder. With preventive treatment, outcomes may be improved through early prediction of diabetes-related hospitalisation using data-driven algorithms. Here, we examine recent advances in deep learning methods for anticipating readmissions and unexpected hospital stays in adult patients with diabetes. Firstly, we present an overview of the main factors that indicate the need for hospitalisation due to diabetic complications. The research on hospitalisation risk prediction using structured health data, such as demographics, prescriptions, test results, etc., using conventional machine learning techniques is then summarised. Using data from insurance claims and electronic health records, we then examine current research that has used deep learning models. It is emphasised that longitudinal data can be included using recurrent neural networks. Model architectures, training methods, and important data modalities are covered. The assessment also addresses deployment difficulty and the model's performance assessment on real-world datasets. Ultimately, potential paths forward include hybrid models that integrate data diversity, explainable predictions, and clinical knowledge. In order to provide evidence-based predictions of the risk of hospitalisation and readmission for diabetes patients, we examine the potential and constraints of recently developed deep learning algorithms in this review.

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Forecasting Diabetic Foot Ulcers Using Deep Learning Models

Reddy¹,

Alluri²,

Gadiraju³

et al. 2023

Lecture Notes in Networks and Systems

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Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction

Cited by 7 publications

References 21 publications

Personal Portrait Modeling of Intelligent Campus Students in Higher Vocational Colleges Based on Data Mining Algorithm

Personal Portrait Modeling of Intelligent Campus Students in Higher Vocational Colleges Based on Data Mining Algorithm

Predictions of Early Hospitalization of Diabetes Patients Based on Deep Learning: A Review

Forecasting Diabetic Foot Ulcers Using Deep Learning Models

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