Thyroid disease prediction using machine learning approaches

G Chaubey, D Bisen, S Arjaria, V Yadav - National Academy Science …, 2021 - Springer
This paper is being written to provide a source of reference for the research scholars who
want to work in the area of prediction of thyroid disease. From the different machine learning …

A nonparametric copula-based decision tree for two random variables using MIC as a classification index

YA Khan, QS Shan, Q Liu, SZ Abbas - Soft Computing, 2021 - Springer
The copula is well-known for learning scale-free measures of dependence among variables
and has invited much interest in recent years. At the very coronary heart of the copula, the …

Improved decision tree classification (IDT) algorithm for social media data

A Sharma, MK Sharma… - 2021 10th International …, 2021 - ieeexplore.ieee.org
In this paper we used classification algorithms on social networking. We are proposing, a
new classification algorithm called the improved Decision Tree (IDT). Our model provides …

Edge computing in healthcare systems

MS Mulimani, RR Rachh - Deep Learning and Edge Computing Solutions …, 2021 - Springer
Proliferation of social networking sites, IoT, and a huge number of electronic transactions
have given rise to a data deluge. This huge amount of data combined with cloud storage …

Application of machine learning techniques for study of drug interactions using clinical parameters for Creutzfeldt-Jakob disease

BG Rajagopal, M Arock - 2020 IEEE-EMBS Conference on …, 2021 - ieeexplore.ieee.org
Drug discovery is one of the emerging areas of research, in which the association between
drugs and diseases are studied to infer the effect of drug induced to patients having similar …

Reducing the uncertainty of agile software development using a random forest classification algorithm

E Wińska, E Kot, W Dąbrowski - … Conference on Lean and Agile Software …, 2021 - Springer
Background: Companies operating in the software industry or those which rely on new
technologies are facing a rising level of complexity in building products. To address these …

Automated melanoma skin cancer detection from digital images

Shalu, R Rani, A Kamboj - International Journal of …, 2021 - inderscienceonline.com
In the early stages, diagnosis of melanoma is important for treating the illness and saving
lives. This paper focuses on the development of a system for automatic detection of …

Aprendizado de máquina aplicado ao planejamento de lavra de curto prazo para o aumento do desempenho operacional de equipamentos de mina.

RS Silva - 2021 - teses.usp.br
Os processos, sistemas e pessoas envolvidos na cadeia de produção mineral são
responsáveis pelo aumento considerável na geração de dados operacionais. Neste …

Cost Sensitive Tree dan Naïve Bayes Pada Klasifikasi Multiclass

MA Febriantono, R Herasmara… - Jurnal Informatika …, 2021 - jurnal.polinema.ac.id
Data mining merupakan proses pengolahan data untuk mengambil keputusan secara cepat,
tepat dan akurat. Data mining pada bidang kesehatan dan manufacturing menjadi hal yang …

Analysis of AI-driven tools and Impact of Covid-19 on Age: A Case Study for India

S Sharma, S Mongia, K Ghosh, R Rajpal… - … (Trends and Future …, 2021 - ieeexplore.ieee.org
The primary objective of present study was to study the impact of Covid-19 pandemic on the
different age groups in Indian population. The paper has recorded observations by applying …