Cover Image

Evaluation and Implementation of Machine Learning Algorithms to Predict Early Detection of Kidney and Heart Disease in Diabetic Patients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hasnain, Syed Ibad
Format:	Preprint
Published:	2025
Subjects:	Other Quantitative Biology Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predictive Modelling of Natural Medicinal Compounds for Alzheimer disease Using Machine Learning and Cheminformatics
by: Tirmizi, Hafiza Syeda Yusra, et al.
Published: (2026)

Chronic Kidney Disease Prognosis Prediction Using Transformer
by: Lee, Yohan, et al.
Published: (2025)

Unsupervised Anomaly Detection in Wearable Foot Sensor Data: A Baseline Feasibility Study Towards Diabetic Foot Ulcer Prevention
by: Turja, Md Tanvir Hasan
Published: (2026)

Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
by: Samanta, Himadri S
Published: (2026)

Computing in the Life Sciences: From Early Algorithms to Modern AI
by: Donkor, Samuel A., et al.
Published: (2024)

From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures
by: Zhao, Minglu, et al.
Published: (2024)

MixRx: Predicting Drug Combination Interactions with LLMs
by: Surana, Risha, et al.
Published: (2025)

Machine Learning Models for Dengue Forecasting in Singapore
by: Lai, Zi Iun, et al.
Published: (2024)

Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes
by: Wang, Mini Han, et al.
Published: (2026)

Plant Bioelectric Early Warning Systems: A Five-Year Investigation into Human-Plant Electromagnetic Communication
by: Gloor, Peter A.
Published: (2025)

FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
by: Gaber, Abdelrhman, et al.
Published: (2025)

Development and Evaluation of an Ontology for Non-Invasive Respiratory Support in Acute Care
by: Islam, Md Fantacher, et al.
Published: (2025)

Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making
by: Wang, Yihan, et al.
Published: (2025)

A Logistic Regression Model to Predict Malaria Severity in Children
by: Ansong, Mary Opokua, et al.
Published: (2026)

Bias Detection in Emergency Psychiatry: Linking Negative Language to Diagnostic Disparities
by: Valentine, Alissa A., et al.
Published: (2025)

Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)

Hybrid Predictive Modeling of Malaria Incidence in the Amhara Region, Ethiopia: Integrating Multi-Output Regression and Time-Series Forecasting
by: Azezew, Kassahun, et al.
Published: (2025)

Technical and Legal Aspects of Federated Learning in Bioinformatics: Applications, Challenges and Opportunities
by: Malpetti, Daniele, et al.
Published: (2025)

An Interpretable AI framework Quantifying Traditional Chinese Medicine Principles Towards Enhancing and Integrating with Modern Biomedicine
by: Li, Haoran, et al.
Published: (2025)

Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology
by: Ke, Ruian, et al.
Published: (2025)

Monitoring Deployed AI Systems in Health Care
by: Keyes, Timothy, et al.
Published: (2025)

Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence
by: Sun, Yingying, et al.
Published: (2025)

Standards in the Preparation of Biomedical Research Metadata: A Bridge2AI Perspective
by: Caufield, Harry, et al.
Published: (2025)

Translating Dietary Standards into Healthy Meals with Minimal Substitutions
by: Chan, Trevor, et al.
Published: (2026)

Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Using a Large Language Model
by: Lee, Kihyuk
Published: (2026)

Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review
by: Wang, Jinge, et al.
Published: (2024)

The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks
by: Undheim, Trond Arne
Published: (2024)

Securing Dual-Use Pathogen Data of Concern
by: Bloomfield, Doni, et al.
Published: (2026)

Autonomous LLM-driven research from data to human-verifiable research papers
by: Ifargan, Tal, et al.
Published: (2024)

Immunological Density Shapes Recovery Trajectories in Long COVID
by: Wang, Jing, et al.
Published: (2026)

Using Multivariate Linear Regression for Biochemical Oxygen Demand Prediction in Waste Water
by: Mutai, Isaiah K., et al.
Published: (2022)

XGBoost-Powered Digital Twins Leverage Routine Blood Tests for Early Detection of Cancer and Cardiovascular Disease
by: John, Lo Kai Shun, et al.
Published: (2025)

A Guide to Bayesian Optimization in Bioprocess Engineering
by: Siska, Maximilian, et al.
Published: (2025)

Hilbert Curve Based Molecular Sequence Analysis
by: Ali, Sarwan, et al.
Published: (2024)

A multi-stage soft computing framework for complex disease modelling and decision support: A liver cirrhosis case study
by: Huang, Xueyuan, et al.
Published: (2026)

Personalized Forecasting of Glycemic Control in Type 1 and 2 Diabetes Using Foundational AI and Machine Learning Models
by: Cichosz, Simon Lebech, et al.
Published: (2026)

Building the EHR Foundation Model via Next Event Prediction
by: Chen, Zekai, et al.
Published: (2025)

Prediction of Retention Time in Larger Antisense Oligonucleotide Datasets using Machine Learning
by: Rahal, Manal, et al.
Published: (2025)

EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models
by: Bonnetto, Andy, et al.
Published: (2025)

Measures and Models of Brain-Heart Interactions
by: Candia-Rivera, Diego, et al.
Published: (2024)