Results 1 to 10 of about 142,938 (289)

A Comprehensive Analysis on Detecting Chronic Kidney Disease by Employing Machine Learning Algorithms [PDF]

EAI Endorsed Transactions on Pervasive Health and Technology, 2021
INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive deterioration of kidney functions. However, the impairment is irreversible and imperceptible up until the disease reaches one of the later stages ...
Mirza Nishat, Fahim Faisal, Rezuanur Dip, Sarker Nasrullah, Ragib Ahsan, Fahim Shikder, Md. Asif, Md. Hoque   +7 more
doaj   +1 more source

Evolving A Neural Network to Predict Diabetic Neuropathy [PDF]

EAI Endorsed Transactions on Scalable Information Systems, 2021
One of the main areas where machine learning (ML) techniques are used vastly is in prediction of diseases. Diabetic neuropathy (DN) disease is a complication of diabetes which causes damage to nerves.
Shiva Reddy, Gadiraju Mahesh, N. Preethi
doaj   +1 more source

Towards an Online Empathy Assisted Counselling Web Application [PDF]

EAI Endorsed Transactions on Context-aware Systems and Applications, 2020
INTRODUCTION: In today's society mental health is becoming increasingly important. As a result, more and more individuals need guidance and counselling.
Aarif Mawani, Lawrence Nderu
doaj   +1 more source

Comparative analysis of models predicting the risks of early poor outcome of deceased-donor liver transplantation: a retrospective single-center study

Трансплантология (Москва), 2023
Rationale. The risk of early graft loss determines the specifics and plan of anesthesiological assistance, intensive therapy, and overall the feasibility of liver transplantation.
A. I. Sushkov, M. V. Popov, V. S. Rudakov, D. S. Svetlakova, A. N. Pashkov, A. S. Lukianchikova, M. Muktarzhan, K. K. Gubarev, V. E. Syutkin, A. I. Artemyev, S. E. Voskanyan   +10 more
doaj   +1 more source

Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA)

Diagnostics, 2022
Radiomics is the process of extracting useful quantitative features of high-dimensional data that allows for automated disease classification, including atherosclerotic disease.
Mardhiyati Mohd Yunus, Ahmad Khairuddin Mohamed Yusof, Muhd Zaidi Ab Rahman, Xue Jing Koh, Akmal Sabarudin, Puteri N. E. Nohuddin, Kwan Hoong Ng, Mohd Mustafa Awang Kechik, Muhammad Khalis Abdul Karim   +8 more
doaj   +1 more source

STUDY TIME CLASSIFICATION OF MATHEMATICS AND INFORMATION TECHNOLOGY DEPARTMENT OF KALIMANTAN INSTITUTE OF TECHNOLOGY USING NAÏVE BAYES ALGORITHM

Barekeng, 2023
Institut Teknologi Kalimantan (ITK) is one of the state universities in Indonesia which has 5 majors, one of them is the Department of Mathematics and Information Technology (JMTI).
Fatrysia Wikarya Sucipto, Ramadhan Paninggalih, Indira Anggriani   +2 more
doaj   +1 more source

Automated Drone Detection Using YOLOv4

Drones, 2021
Drones are increasing in popularity and are reaching the public faster than ever before. Consequently, the chances of a drone being misused are multiplying.
Subroto Singha, Burchan Aydin
doaj   +1 more source

Benchmarking Low-Frequency Variant Calling With Long-Read Data on Mitochondrial DNA

Frontiers in Genetics, 2022
Background: Sequencing quality has improved over the last decade for long-reads, allowing for more accurate detection of somatic low-frequency variants. In this study, we used mixtures of mitochondrial samples with different haplogroups (i.e., a specific
Theresa Lüth, Susen Schaake, Anne Grünewald, Anne Grünewald, Patrick May, Joanne Trinh, Hansi Weissensteiner   +6 more
doaj   +1 more source

Comparative Analysis of RF, SVR with Gaussian Kernel and LSTM for Predicting Loan Defaults [PDF]

Revista de Studii Financiare
This investigation elucidates the paramount endeavour of predicting loan defaults, which is imperative for the efficacious management of financial risk and the overall stability of financial institutions. Conventional statistical methodologies frequently
Konstantinos Kofidis, Cătălina Lucia Cocianu   +1 more
doaj   +1 more source

AVILNet: A New Pliable Network with a Novel Metric for Small-Object Segmentation and Detection in Infrared Images

Remote Sensing, 2021
Infrared small-object segmentation (ISOS) has a persistent trade-off problem—that is, which came first, recall or precision? Constructing a fine balance between of them is, au fond, of vital importance to obtain the best performance in real applications,
Ikhwan Song, Sungho Kim
doaj   +1 more source