Artificial intelligence techniques for the detections of congenital diseases: challenges...

Deep Learning in Mental Health: An In-Depth Analysis of Prediction Systems

P Kaushik, K Bansal, Y Kumar - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Millions of people worldwide continue to suffer from a variety of diseases that frequently go
undetected or untreated, making mental health disorders a major public health concern. In …
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Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement

Y Kumar, P Kaur, J Rani - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
One of the most important organs in our body is the liver, yet liver cancer incidence has been
sharply rising in recent years, primarily as a result of poor lifestyles. In order to accurately …
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Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study

Y Kumar, GP Kanna, SJKJ Kumar… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Influenza is a life-threatening disease mainly for an older population. Common causes of
death in Influenza related complications are pneumonia, obstructive pulmonary disease …
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Multiple Infectious Disease Diagnosis and Detection Using Advanced CNN Models

K Thakur, NK Sandhu, Y Kumar, J Rani - International Conference on …, 2023 - Springer
In the modern medical sector, deep learning methods are proving exceptionally effective in
enhancing disease detection and classification accuracy through the analysis of medical …
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Revolutionizing Metabolic Syndrome Detection and Classification with State-of-the-Art Machine Learning Techniques

N Modi, Y Kumar - 2024 IEEE 9th International Conference for …, 2024 - ieeexplore.ieee.org
Metabolic syndrome (MS) is a medical disorder characterized by a number of metabolic
abnormalities, such as hypertension, obesity, hyperglycemia, and hyperlipidemia. Improved …
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Transfer Learning Approach for Detection of Autism Spectrum Disorder using Facial Images

K Patel, A Ramanuj, S Sakhiya… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is characterized by deficits in social interaction,
communication issues, and repetitive behavioral patterns. Effective ASD intervention and …
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Automated Diagnosis and Detection of Blood Cancer Using Deep Learning-Based Approaches: A Recent Study and Challenges

JB Singh, V Luxmi - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Blood cancer, also referred to as haematological malignancy, is a collection of cancers that
affect the blood, bone marrow, and lymphatic systems. Early and accurate blood cancer …
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Automated Cervical Cancer Prediction using Ensemble Machine Learning based Approaches

T Ghetia, N Patel, C Chawda, S Mishra… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
Cervical cancer is a widespread type of cancer that primarily affects women. Detecting it
early is crucial for successful treatment and recovery. However, detecting cervical cancer …
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