Early detection of Parkinson's disease using machine learning

A Govindu, S Palwe - Procedia Computer Science, 2023 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder affecting 60% of people over the
age of 50 years. Patients with Parkinson's (PWP) face mobility challenges and speech …

[HTML][HTML] A Novel AI-Driven Model for Student Dropout Risk Analysis with Explainable AI Insights

S Mustofa, YR Emon, SB Mamun, SA Akhy… - … and Education: Artificial …, 2024 - Elsevier
The increasing number of students dropping out of school due to social, economic, personal
(eg, depression or persistent failure), and health issues is a growing concern for …

Profiling Anonymous Authors in the Corsican Autonomist Press of the Interwar Period

V Sarbach-Pulicani - Conference on Computational Humanities …, 2023 - hal.science
With the emergence of nationalism in the 19 th century came regionalist movements to
assert and claim cultural particularities. Corsica fitted very well within this dynamic and even …

Evaluating Models Performance for Credit Risk Detection for Imbalanced Data

N Matar, B Sowan, A Al-Jaber - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This study looks at the effect of unbalanced datasets on machine learning models and
assesses the effectiveness of the Synthetic Minority Over-sampling Technique (SMOTE) in …

Creating an ML-based Mobile App for Maintaining Crop Health

A Viswanathan, M Umamaheswari… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
Agriculture is the backbone of our nation. Not only in India, but the growth of food and other
crops is also an essential occupation all over the world. One of the major requirements of …

Development of prediction models for postoperative complications following cardiac surgery

L Lapp - 2022 - stax.strath.ac.uk
While postoperative mortality in cardiac surgery has reduced in the past twenty years, due to
changes in patient population undergoing open-heart surgery, postoperative complications …