A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of genetic disorders using various gene disorders
A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …
expensive and time-consuming component for doctors. By combining predictive methods …
An analysis of detection and diagnosis of different classes of skin diseases using artificial intelligence-based learning approaches with hyper parameters
In recent years, metaheuristic optimizers have grown in popularity due to their ability to
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Parasitic organisms pose a major global health threat, mainly in regions that lack advanced
medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives …
medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives …
Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models
C Cheng, WM Jiang, B Fan, YC Cheng, YT Hsu… - BMC public health, 2023 - Springer
Background Mathematical and statistical models are used to predict trends in epidemic
spread and determine the effectiveness of control measures. Automatic regressive …
spread and determine the effectiveness of control measures. Automatic regressive …
A review on prediction and prognosis of the prostate cancer and gleason grading of prostatic carcinoma using deep transfer learning based approaches
GP Kanna, SJKJ Kumar, P Parthasarathi… - … Methods in Engineering, 2023 - Springer
Prostate cancer is a dangerous type of cancer that kills a lot of men because it is hard to
diagnose. Images taken of people with carcinoma have complex and important parts that are …
diagnose. Images taken of people with carcinoma have complex and important parts that are …
Deep learning approaches for MIMO time-series analysis
F Kurniawan, S Sulaiman… - … of Advances in …, 2023 - repository.uin-malang.ac.id
This study presents a comparative analysis of various deep learning (DL) methods for multi-
input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is …
input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is …
A Comprehensive Study of Deep Learning Methods for Kidney Tumor, Cyst, and Stone Diagnostics and Detection Using CT Images
Kidney disease affects millions worldwide which emphasizes the need for early detection.
Recent advancements in deep learning have transformed medical diagnostics and provide …
Recent advancements in deep learning have transformed medical diagnostics and provide …
ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye
Finding solutions for long-term drought parameter index estimation (DPIE) is very crucial
since there is a rising trend of drought which has a huge impact on water supplies, various …
since there is a rising trend of drought which has a huge impact on water supplies, various …
Machine Learning-Based Approaches for the Prognosis and Prediction of Multiple Diseases
The rapid progress in machine learning techniques has significantly transformed healthcare
which enables the simultaneous and accurate detection of multiple diseases. This paper …
which enables the simultaneous and accurate detection of multiple diseases. This paper …
An automated multi-classification of communicable diseases using ensemble learning for disease surveillance
K Thakur, NK Sandhu, Y Kumar, HK Thakkar - International Journal of …, 2024 - Springer
Communicable diseases are considered significant global health concern for the public, and
their timely detection is crucial for effective prevention and spread control. However …
their timely detection is crucial for effective prevention and spread control. However …