Mitigating bias in radiology machine learning: 1. Data handling

P Rouzrokh, B Khosravi, S Faghani… - Radiology: Artificial …, 2022 - pubs.rsna.org
Minimizing bias is critical to adoption and implementation of machine learning (ML) in
clinical practice. Systematic mathematical biases produce consistent and reproducible …

Analisis Sentimen Kinerja Dewan Perwakilan Rakyat (DPR) Pada Twitter Menggunakan Metode Naive Bayes Classifier

DD Putri, GF Nama… - Jurnal Informatika dan …, 2022 - journal.eng.unila.ac.id
Dalam penelitian ini akan dilakukan analisis sentimen masyarakat terhadap kinerja Dewan
Perwakilan Rakyat (DPR) yang diungkapkan melalui media sosial twitter. Ada beberapa …

[HTML][HTML] Energy consumption of electric vehicles: Analysis of selected parameters based on created database

M Mądziel, T Campisi - Energies, 2023 - mdpi.com
Electric vehicles in a short time will make up the majority of the fleet of vehicles used in
general. This state of affairs will generate huge sets of data, which can be further …

Data mining dan penerapan algoritma

NLWSR Ginantara, FN Afifah, AH Wijaya, RS Septarini… - 2021 - repo.handayani.ac.id
Perkembangan data yang pesat membutuhkan pengolahan data untuk tidak hanya sekedar
menghasilkan informasi namun juga memberikan pengetahuan baru. Proses penggalian …

COVID-19-FAKES: A Twitter (Arabic/English) dataset for detecting misleading information on COVID-19

MK Elhadad, KF Li, F Gebali - Advances in Intelligent Networking and …, 2021 - Springer
This paper aims to aid the ongoing research efforts for combating the Infodemic related to
COVID-19. We provide an automatically annotated, bilingual (Arabic/English) COVID-19 …

[HTML][HTML] Sentiment analysis of COVID-19 social media data through machine learning

D Dangi, DK Dixit, A Bhagat - Multimedia tools and applications, 2022 - Springer
Pandemics are a severe threat to lives in the universe and our universe encounters several
pandemics till now. COVID-19 is one of them, which is a viral infectious disease that …

Exploratory data analysis and classification of a new arabic online extremism dataset

S Aldera, A Emam, M Al-Qurishi, M Alrubaian… - IEEE …, 2021 - ieeexplore.ieee.org
The dissemination of extremist ideas and causes online has intensified over the last decade.
Extremist organizations use social media to gain publicity and new recruits, often with little …

[HTML][HTML] Oil yield prediction for sunflower hybrid selection using different machine learning algorithms

S Cvejić, O Hrnjaković, M Jocković, A Kupusinac… - Scientific Reports, 2023 - nature.com
Due to the increased demand for sunflower production, its breeding assignment is the
intensification of the development of highly productive oil seed hybrids to satisfy the edible …

[PDF][PDF] Data analysis using python

K Nongthombam, D Sharma - International Journal of Engineering …, 2021 - academia.edu
In this paper, the analysis of data using Python Programming Language is studied. The very
basic processes of data analysis like cleaning, transforming, modeling of data is briefly …

Machine learning model for hepatitis C diagnosis customized to each patient

L Chen, P Ji, Y Ma - IEEE Access, 2022 - ieeexplore.ieee.org
Machine learning is now widely used in various fields, and it has made a big splash in the
field of disease diagnosis. But traditional machine learning models are general-purpose …