AIMC Topic:
Supervised Machine Learning
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Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.
The American journal of gastroenterology
Jan 1, 2021
INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome with constipation (IBS-C) and functional constipation (FC), on the assumption that they differ along multiple clinical characteristics and are plausibly ...
Predicting cancer using supervised machine learning: Mesothelioma.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2021
BACKGROUND: Pleural Mesothelioma (PM) is an unusual, belligerent tumor that rapidly develops into cancer in the pleura of the lungs. Pleural Mesothelioma is a common type of Mesothelioma that accounts for about 75% of all Mesothelioma diagnosed yearl...
Application of Machine Learning Techniques to Predict Binding Affinity for Drug Targets: A Study of Cyclin-Dependent Kinase 2.
Current medicinal chemistry
Jan 1, 2021
BACKGROUND: The elucidation of the structure of cyclin-dependent kinase 2 (CDK2) made it possible to develop targeted scoring functions for virtual screening aimed to identify new inhibitors for this enzyme. CDK2 is a protein target for the developme...
Supervised learning on phylogenetically distributed data.
Bioinformatics (Oxford, England)
Dec 30, 2020
MOTIVATION: The ability to develop robust machine-learning (ML) models is considered imperative to the adoption of ML techniques in biology and medicine fields. This challenge is particularly acute when data available for training is not independent ...
Early Sepsis Prediction Using Ensemble Learning With Deep Features and Artificial Features Extracted From Clinical Electronic Health Records.
Critical care medicine
Dec 1, 2020
OBJECTIVES: Sepsis is caused by infection and subsequent overreaction of immune system and will severely threaten human life. The early prediction is important for the treatment of sepsis. This report aims to develop an early prediction method for se...
Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.
The international journal of neuropsychopharmacology
Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Perceptual Expertise: How Is It Achieved?
Current biology : CB
Aug 3, 2020
Humans are perceptual experts and we are constantly refining how we detect and discriminate objects in the world around us, often without any explicit instruction. But instruction can be helpful and sometimes even necessary. New research highlights t...
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT.
IEEE transactions on medical imaging
Aug 1, 2020
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 diagnosis on chest CT is helpful to counter the outbreak of SARS-C...
Aged, 80 and over
Young Adult
Betacoronavirus
Adult
Pneumonia, Viral
Adolescent
Humans
Female
Coronavirus Infections
Child
Pandemics
SARS-CoV-2
COVID-19
Image Interpretation, Computer-Assisted
Supervised Machine Learning
Male
Aged
Thorax
Retrospective Studies
Middle Aged
Tomography, X-Ray Computed
Lung
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.
IEEE transactions on medical imaging
Aug 1, 2020
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potential to augment the traditional...
Systematic analysis of supervised machine learning as an effective approach to predicate β-lactam resistance phenotype in Streptococcus pneumoniae.
Briefings in bioinformatics
Jul 15, 2020
Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics have been employed to treat infections caused by S. pneumoniae for decades. β-lactam resistance is steadily increasing in pneumococci and is mainly assoc...
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