Role of machine learning in medical research: A survey

Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients

(2019) Zaki Hasnain et al.   PLoS One

Machine Learning in Medicine

(2019) Alvin Rajkomar et al.   NEW ENGLAND JOURNAL OF MEDICINE

A machine learning approach for the prediction of pulmonary hypertension

(2019) Andreas Leha et al.   PLoS One

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Prediction of medical expenditures of diagnosed diabetics and the assessment of its related factors using a random forest model, MEPS 2000–2015

(2019) Jing Wang et al.   INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE

Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition

(2019) Yi Chang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED

(2018) Tadahiro Goto et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

An efficient approach for imputation and classification of medical data values using class-based clustering of medical records

(2018) UshaRani Yelipe et al.   COMPUTERS & ELECTRICAL ENGINEERING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Predicting urinary tract infections in the emergency department with machine learning

(2018) R. Andrew Taylor et al.   PLoS One

Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data

(2018) Min Zhu et al.   IEEE Access

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Optimal intensive care outcome prediction over time using machine learning

(2018) Christopher Meiring et al.   PLoS One

Machine learning in medicine: Addressing ethical challenges

(2018) Effy Vayena et al.   PLOS MEDICINE

An improved overlapping k-means clustering method for medical applications

(2017) Sina Khanmohammadi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

(2017) Jonathan H. Chen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

(2017) Min Chen et al.   IEEE Access

Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review

(2017) Ana Luiza Dallora et al.   PLoS One

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

(2016) Florin C. Ghesu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

(2016) Mark J. J. P. van Grinsven et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evolving support vector machines using fruit fly optimization for medical data classification

(2016) Liming Shen et al.   KNOWLEDGE-BASED SYSTEMS

Big data analytics to improve cardiovascular care: promise and challenges

(2016) John S. Rumsfeld et al.   Nature Reviews Cardiology

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Toward a Shared Vision for Cancer Genomic Data

(2016) Robert L. Grossman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data

(2016) Ivo D. Dinov   GigaScience

Harnessing the Heart of Big Data

(2015) Sarah B. Scruggs et al.   CIRCULATION RESEARCH

Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

(2015) Xinting Gao et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Comparing the performance of biomedical clustering methods

(2015) Christian Wiwie et al.   NATURE METHODS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Big Data: A Survey

(2014) Min Chen et al.   MOBILE NETWORKS & APPLICATIONS

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning

(2012) Zhuoran Wang et al.   PLoS One

The Unreasonable Effectiveness of Data

(2009) Alon Halevy et al.   IEEE INTELLIGENT SYSTEMS