Artificial neural networks for prediction of recurrent venous thromboembolism
TD Martins, JM Annichino-Bizzacchi… - International journal of …, 2020 - Elsevier
Background Recurrent venous thromboembolism (RVTE) is a multifactorial disease with
occurrence rates which vary from 13% to 25% in 5 years after the initial event. Once a …
occurrence rates which vary from 13% to 25% in 5 years after the initial event. Once a …
[PDF][PDF] A systematic review: Contrast enhancement based on spatial and frequency domain
Contrast enhancement is a fundamental step in image segmentation, and plays an important
role in image processing, pattern recognition, and computer vision. Contrast enhancement …
role in image processing, pattern recognition, and computer vision. Contrast enhancement …
Identifying patients with PTSD utilizing resting-state fMRI data and neural network approach
Purpose: The primary aim of the study is to identify the existence of post-traumatic stress
disorder (PTSD) in an individual and to detect the dominance level of each affected brain …
disorder (PTSD) in an individual and to detect the dominance level of each affected brain …
Potential ANN prediction model for multiperformances WEDM on Inconel 718
This paper proposes a machining performance prediction approach on multiple
performances of wire electrical discharge machining (WEDM) on Inconel 718. Artificial …
performances of wire electrical discharge machining (WEDM) on Inconel 718. Artificial …
A Review of Personality Trait Recognition with Deep Learning Techniques
NAM Amin, NNA Sjarif, SS Yuhaniz… - Journal of Advanced …, 2024 - semarakilmu.com.my
Deep learning (DL) has proven to be highly successful in various classification tasks using
extracted data from images, text, or sound. DL also enables computers to understand and …
extracted data from images, text, or sound. DL also enables computers to understand and …
Review of Artificial Intelligent based Algorithm for Prediction of Polycystic Ovary Syndrome (PCOS) from Blood Samples
P Chitra, M Sumathi, K Srilatha… - 2022 4th …, 2022 - ieeexplore.ieee.org
Polyfolicular ovarian syndrome or (PCOS) is one of a medical disorder that affects female
pregnancy. This paper proposes a method of prediction of PCOS using an Artificial Neural …
pregnancy. This paper proposes a method of prediction of PCOS using an Artificial Neural …
An intelligent system for diagnosing thyroid disease in pregnant ladies through artificial neural network
In the modern era, the field of medicine is witnessing an enormous growth in methods of
diagnosis to the methods of treatment and the abundance of information which is not …
diagnosis to the methods of treatment and the abundance of information which is not …
[PDF][PDF] Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF
ME Alzaharani, SA Hannan - Issue - journals.kku.edu.sa
An Expert System is a problem solving and decision making system based on knowledge of
its task and logical rules or procedures for using knowledge. Both the knowledge and the …
its task and logical rules or procedures for using knowledge. Both the knowledge and the …
[HTML][HTML] Specific wear rate modeling of polytetraflouroethylene composites via artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) tools
Lately, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS)
models have been recognized as potential and good tools for mathematical modeling of …
models have been recognized as potential and good tools for mathematical modeling of …
Artificial Intelligence–The Imperative Tool in Healthcare Innovations Employing Nanotechnology
M Dhanalakshmi, K Das, M Iqbal, VP Mohanan… - … and Point of Care … - taylorfrancis.com
Computational chemistry was previously synonymous with theoretical chemistry which in
turn was used interchangeably with quantum chemistry. But computational methods involve …
turn was used interchangeably with quantum chemistry. But computational methods involve …