https://www.preprints.org/manuscript/202209.0380
Tracking and early identification of suspected cases are essential to control and prevent potential COVID-19 outbreaks. One of the most popular techniques used...
noveldesigncoviddiagnosissystem
https://www.inderscience.com/info/inarticle.php?artid=135798
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...
chronic diseaseusing machinearticlecoughtype
https://www.scirp.org/journal/paperinforcitation?paperid=119982
Kentucky bluegrass (Poa pratensis L.) is the most common perennial turfgrass species grown on playgrounds, municipal and residential lawn areas, and golf tees,...
kentucky bluegrassmachine learningearlynutrientdiagnosis
https://ui.adsabs.harvard.edu/abs/2025AIPC.3157h0020S/abstract
Our research gives a proper insight on the use of deep learning and machine learning methods for the early diagnosis of breast cancer. In our paper we have...
machine learningpredictivediagnosisharnessingdeep
https://www.inderscience.com/info/inarticle.php?artid=78338
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...
machine learningarticleclassifiersbasedstructural
https://www.mdpi.com/1424-8220/22/20/7886
Healthcare digitalization requires effective applications of human sensors, when various parameters of the human body are instantly monitored in everyday life...
machine learningsensorsdiagnosiscoviddisease
https://dev.to/stormrsa/machine-learning-to-assist-in-pneumonia-diagnosis-3gfn
Introduction In South Africa and around the world pneumonia is a massive issue. My project... Tagged with octograd2020, githubsdp, machinelearning, python.
machine learningdev communityassistpneumoniadiagnosis
https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2024.1515549/full
BackgroundDiagnosing bipolar disorder poses a challenge in clinical practice and demands a substantial time investment. With the growing utilization of artif...
machine learningbipolar disorderfrontiersdiagnosisaccuracy
https://www.hmpgloballearningnetwork.com/site/vht/news/ehr-based-machine-learning-predicts-alzheimer-risk-years-diagnosis-us-veterans
A large Veterans Health Administration study found that machine learning models analyzing Alzheimer-related keywords in routine clinical notes may predict...
machine learningehrbasedpredictsalzheimer