Multi-modal Deep Learning Diagnosis of Parkinson's Disease-A Systematic Review

V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …

Artificial intelligence based health monitoring system on ioth platform

D Gowda, B Sathya, R Kavitha, A Kumar… - 2023 Second …, 2023 - ieeexplore.ieee.org
In order to fight the pandemic situations like COVID-19, researchers are working towards
find an early vaccination and are developing a multidisciplinary strategy that explores the …

Implementation of Machine Learning Approach for Detecting Cardiovascular Diseases

SKH Kauser, D Gowda, RC Tanguturi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The rapidly expanding discipline of data analysis has an important role to play in the
medical industry. Using this knowledge, we can uncover previously concealed details that …

Cardiovascular Disease Prediction Using LSTM Algorithm based On Cytokines

R Kavitha, D Gowda, BR Vishal… - 2023 4th …, 2023 - ieeexplore.ieee.org
The modern lifestyle's busy schedule often results in unhealthy habits that lead to anxiety
and depression. To deal with stress, many people engage in harmful behaviours such as …

Lung carcinoma detection using deep learning

K Praveena, C Vimala… - … Conference on Advances …, 2023 - ieeexplore.ieee.org
One of the largest obstacles in treating chronic illnesses, according to the medical
community, is identifying and treating cancer. Before beginning advanced treatment …

Harnessing the Power of Machine Learning for Parkinson's Disease Detection

N Biswas, D Santra, B Banerjee… - AIoT and Smart Sensing …, 2024 - igi-global.com
Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting millions
worldwide. Early detection of PD is crucial for effective treatment and management of the …

Comprehensive machine learning and deep learning approaches for Parkinson's disease classification and severity assessment

O Majdoubi, A Benba, A Hammouch - Informatyka, Automatyka, Pomiary …, 2023 - ph.pollub.pl
In this study, we aimed to adopt a comprehensive approach to categorize and assess the
severity of Parkinson's disease by leveraging techniques from both machine learning and …

Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning” at Evolving Systems.

CO Nwokoro, BA Akinnuwesi, S Shastri, FM Uzoka… - 2024 - researchsquare.com
The significance of maternal health cannot be overemphasized, and the ability to predict
maternal outcomes accurately is critical to ensuring the well-being of both mothers and …

Parkinson Disease Diagnosis and Severity Rating Prediction Based on Gait analysis using Deep Learning

KVS Sai Kumar, I Sirisha, K Vathsalya… - … Research Journal on …, 2023 - rspsciencehub.com
Parkinson's disease can present with both physical and emotional symptoms, which can
vary widely between individuals. These symptoms may include prob-lems with walking …

Efficient IoT-based heart disease prediction framework with Weight Updated Trans-Bidirectional Long Short Term Memory-Gated Recurrent Unit

K Sasirekha, D Asha, P Sivaganga, R Harini - Web Intelligence - content.iospress.com
The integrated system has generated numerous features for the users, like as identifying
heart disease by its symptoms, forwarding the information to the doctors regarding the phase …