[PDF][PDF] Advances in machine learning and explainable artificial intelligence for depression prediction
H Byeon - International Journal of Advanced Computer Science …, 2023 - researchgate.net
There is a growing interest in applying AI technology in the field of mental health, particularly
as an alternative to complement the limitations of human analysis, judgment, and …
as an alternative to complement the limitations of human analysis, judgment, and …
The evolving role of geospatial intelligence in enhancing urban security: A review of applications and outcomes
PW Biu, JS Oliha, OC Obi - Engineering Science & Technology Journal, 2024 - fepbl.com
Geospatial intelligence (GEOINT) has emerged as a pivotal tool in addressing the
complexities of urban security, offering insights crucial for effective decision-making and …
complexities of urban security, offering insights crucial for effective decision-making and …
[HTML][HTML] Development trends and knowledge framework in the application of magnetic resonance imaging in prostate cancer: a bibliometric analysis from 1984 to …
Y Ye, Z Liu, J Zhu, J Wu, K Sun, Y Peng… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Prostate cancer (PCa) is the most common tumor of the male genitourinary
system. With the development of imaging technology, the role of magnetic resonance …
system. With the development of imaging technology, the role of magnetic resonance …
Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model
S Ottaviani, F Monacelli - Journal of Alzheimer's Disease, 2024 - content.iospress.com
A recent study by Ding et al. explores the integration of artificial intelligence (AI) in predicting
dementia risk over a 10-year period using a multimodal approach. While revealing the …
dementia risk over a 10-year period using a multimodal approach. While revealing the …
Dementia detection using parameter optimization for multimodal datasets
Dementia, a neurodegenerative disorder, is more prominent among elderly people. This
disease is one of the primary contributors amongst other diseases having a high social …
disease is one of the primary contributors amongst other diseases having a high social …
READi-Dem: ML-powered, web-interface tool for Robust, Efficient, Affordable Diagnosis of Dementia
Background: Dementia screening tools typically involve face-to-face cognitive testing.
Indeed, this introduces an increasing burden on the clinical staff, particularly in low-resource …
Indeed, this introduces an increasing burden on the clinical staff, particularly in low-resource …
Hyperparameters and Tuning Methods for Random Forest Using Python Sklearn Package Relevant to Psychology Studies
K Uludag - Clinical Practice and Unmet Challenges in AI …, 2024 - igi-global.com
Abstract Machine learning (ML) is used to create well-functioning prediction models for
predicting the prognosis of psychiatric disease or to distinguish the disease from other …
predicting the prognosis of psychiatric disease or to distinguish the disease from other …
Artificial Intelligence (AI) and Machine Learning: The Future of Information Technology and Information Systems
AA Mahmudi, I Ramadhani - Information Technology Studies …, 2024 - journal.ppipbr.com
In the context of data and information management in large organizations, the integration of
Artificial Intelligence (AI) and Machine Learning (ML) technology is an interesting research …
Artificial Intelligence (AI) and Machine Learning (ML) technology is an interesting research …
[HTML][HTML] Cautionary Observations Concerning the Introduction of Psychophysiological Biomarkers into Neuropsychiatric Practice
PE Rapp, C Cellucci, D Darmon, D Keyser - Psychiatry International, 2022 - mdpi.com
The combination of statistical learning technologies with large databases of
psychophysiological data has appropriately generated enthusiastic interest in future clinical …
psychophysiological data has appropriately generated enthusiastic interest in future clinical …
Machine learning prediction models for the popularization and dissemination of medical science popularization videos
N Cheng, XL Wang, Y Mu, HJ Li, YN Ma, Y Yuan… - 2024 - researchsquare.com
Objective To summarize the current shooting trends of this type of video, discuss the effect of
non-medical factors on the spread of videos, and develop prediction models using machine …
non-medical factors on the spread of videos, and develop prediction models using machine …