A Framework for Performance Evaluation of Machine Learning Techniques to Predict the Decision to Choose Palliative Care in Advanced Stages of Alzheimer’s Disease

Sridevi, M.; Kumar, B. R. Arun

doi:10.21817/indjcse/2021/v12i1/211201140

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…An Overview of Machine Learning. Machine learning is a section of artificial intelligence [15][16][17]. Machine learning is a science in the field of artificial intelligence, and its main research is how to use artificial intelligence to improve the performance of specific algorithms in powerful learning.…”

Section: Information-based Teaching Mode Based On Machine Learningmentioning

confidence: 99%

Influence of Educational Informatization Based on Machine Learning on Teaching Mode

Jian

2022

International Transactions on Electrical Energy Systems

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In recent years, with the rapid progress of educational information techniques, the application of computer teaching methods in school education has also shown a constantly changing trend. How to change the traditional classroom structure, improve the teachers’ information literacy, build a new information-based teaching format, and promote the integration of information technique and pedagogy have become an important topic of the current educational research study. Machine learning is a key technology in artificial intelligence and is widely used in various fields. The core of educational informatization is to carry out personalized learning, and the main auxiliary technology of personalized learning is machine learning. So, this article studied the influence of machine learning-based educational informatization on the teaching mode. Through the investigation and research methods, this article found that the educational informatization teaching mode based on machine learning is helpful to improve students’ autonomous learning ability, comprehensive ability, and learning effect. In the information-based teaching mode, the learning effect reached a maximum of about 90, with an average increase of 12, which showed that the educational information-based teaching mode based on machine learning is feasible.

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Section: Information-based Teaching Mode Based On Machine Learningmentioning

confidence: 99%

Influence of Educational Informatization Based on Machine Learning on Teaching Mode

Jian

2022

International Transactions on Electrical Energy Systems

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“…After the contract is signed, the offshore project enters the whole line operation process of the offshore project team. According to the time flow, it can be basically divided into four stages, namely: design stage, procurement stage, production and construction stage and equipment commissioning stage [12][13]. According to the data provided by each department, the project planning department formulates a complete project schedule management plan, which is separately managed according to the schedule management process for different stages.…”

Section: Pm Organization Structurementioning

confidence: 99%

Marine Engineering Project Planning Management Technology based on Machine Learning

2022

FOE

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With the development of various marine exploration means, the ability to obtain marine environmental information has also been unprecedentedly improved. Marine data presents the characteristics of strong spatial-temporal correlation and diverse formats, but it brings problems such as complex relationships between data, difficult analysis of heterogeneous data, and low processing efficiency. Therefore, the marine project planning management technology has become the focus of research. This paper studies and analyzes the marine project planning management technology based on machine learning(ML) algorithm. The planning, classification, organizational structure and control principle of offshore engineering project(OEP) are discussed; This paper proposes a ML algorithm, optimizes the project schedule of marine engineering project(MEP) planning management technology through the training algorithm of smooth support vector regression model, and finally introduces each module of the system briefly in combination with the planning management of MEPs, which verifies the feasibility of the ML algorithm, improves the production efficiency of marine engineering, and has a certain reference significance for future development.

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“…A variety of techniques has been studied and reported in literature reviews for prediction models in the healthcare [VinothinL and Baghavathi (2020)], [Sridevi and Arun Kumar (2021)], and academics [Vivek Raj and Manivannan (2021)], [Athani et al (2017)]. In general, the criteria of higher education have been measured using a graduate production process and post-graduate success.…”

Section: Related Workmentioning

confidence: 99%

The Effective Prediction Model Based on Employment Positions for Computer Curriculums Using Classification Techniques

Silprachawong¹,

Kaewchuea²,

Srisawat³

2021

INDJCSE

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Data mining techniques were used to build a prediction model prototype based on employment positions for computer majors in the Faculty of Science and Technology, Suratthani Rajabhat University. This study investigated the impact factors of employment positions of computer careers, compared model performances that consisted of six classification techniques and developed a web application using the effective prediction model that could be implemented in four majors using data collected from the graduates of sessions 2016-2020. The results of this research demonstrated that factors of seven courses and cumulative grade point average predicted employment positions. The models with best performances were rule-based and naive Bayes methods with a classification accuracy of 89.66%, precision of 90.48%, and recall of 90.00%. Therefore, a web application of the prediction model was developed using PHP programming. In practice, this application can suitably predict employment positions for computer majors.

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A Framework for Performance Evaluation of Machine Learning Techniques to Predict the Decision to Choose Palliative Care in Advanced Stages of Alzheimer’s Disease

Cited by 6 publications

References 6 publications

Influence of Educational Informatization Based on Machine Learning on Teaching Mode

Influence of Educational Informatization Based on Machine Learning on Teaching Mode

Marine Engineering Project Planning Management Technology based on Machine Learning

The Effective Prediction Model Based on Employment Positions for Computer Curriculums Using Classification Techniques

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