AIMC Topic: Disease Progression
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Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
PLoS medicine
Nov 6, 2018
BACKGROUND: Electronic medical records provide large-scale real-world clinical data for use in developing clinical decision systems. However, sophisticated methodology and analytical skills are required to handle the large-scale datasets necessary fo...
Predicting conversion from clinically isolated syndrome to multiple sclerosis-An imaging-based machine learning approach.
NeuroImage. Clinical
Nov 5, 2018
Magnetic resonance imaging (MRI) scans play a pivotal role in the evaluation of patients presenting with a clinically isolated syndrome (CIS), as these may depict brain lesions suggestive of an inflammatory cause. We hypothesized that it is possible ...
Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach.
Translational psychiatry
Nov 5, 2018
Many variables have been linked to different course trajectories of depression. These findings, however, are based on group comparisons with unknown translational value. This study evaluated the prognostic value of a wide range of clinical, psycholog...
The association between serum uric acid to creatinine ratio and renal disease progression in type 2 diabetic patients in Chinese communities.
Journal of diabetes and its complications
Nov 3, 2018
AIMS: Serum uric acid (UA) increases in patients with kidney disease due to the impaired UA clearance. The present study sought to evaluate the association between UA/creatinine ratio (UA/Cr) and renal disease progression in patients with type 2 diab...
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.
Scientific reports
Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets.
Journal of biomedical informatics
Oct 16, 2018
Prostate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC risk grades is based on the AJCC (American Joint Committee on Cancer) staging/scoring system. It utilizes the comprehensive risk data of the prostate-...
Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression.
Computers in biology and medicine
Oct 4, 2018
BACKGROUND: The progression of the spinal curve represents one of the major concerns in the assessment of Adolescent Idiopathic Scoliosis (AIS). The prediction of the shape of the spine from the first visit could guide the management of AIS and provi...
Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.
International journal of neural systems
Sep 20, 2018
The early detection of Alzheimer's disease and quantification of its progression poses multiple difficulties for machine learning algorithms. Two of the most relevant issues are related to missing data and results interpretability. To deal with both ...
Temporal Correlation Structure Learning for MCI Conversion Prediction.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Sep 13, 2018
In Alzheimer's research, Mild Cognitive Impairment (MCI) is an important intermediate stage between normal aging and Alzheimer's. How to distinguish MCI samples that finally convert to AD from those do not is an essential problem in the prevention an...
Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.
Surgical oncology
Sep 10, 2018
Glioblastoma multiforme (GBM) are aggressive brain tumors, which lead to poor overall survival (OS) of patients. OS prediction of GBM patients provides useful information for surgical and treatment planning. Radiomics research attempts at predicting ...
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