Computational prediction of diagnosis and feature selection on mesothelioma patient health records

Classification and interaction in random forests

(2018) Danielle Denisko et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Classifying and segmenting microscopy images with deep multiple instance learning

(2016) Oren Z. Kraus et al.   BIOINFORMATICS

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

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

Computational algorithms to predict Gene Ontology annotations

(2015) Pietro Pinoli et al.   BMC BIOINFORMATICS

Software Suite for Gene and Protein Annotation Prediction and Similarity Search

(2015) Davide Chicco et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Classification of lung cancer using ensemble-based feature selection and machine learning methods

(2015) Zhihua Cai et al.   Molecular BioSystems

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

A Review of Ensemble Learning Based Feature Selection

(2014) Donghai Guan et al.   IETE TECHNICAL REVIEW

Validation of Prognostic Factors in Malignant Pleural Mesothelioma: A Retrospective Analysis of Data from Patients Seeking Compensation from the New South Wales Dust Diseases Board

(2012) Steven C. Kao et al.   Clinical Lung Cancer

Probabilistic neural network for breast cancer classification

(2012) Ahmad Taher Azar et al.   NEURAL COMPUTING & APPLICATIONS

Predicting disease risks from highly imbalanced data using random forest

(2011) Mohammed Khalilia et al.   BMC Medical Informatics and Decision Making

Global mesothelioma deaths reported to the World Health Organization between 1994 and 2008

(2011) Vanya Delgermaa et al.   BULLETIN OF THE WORLD HEALTH ORGANIZATION

An approach based on probabilistic neural network for diagnosis of Mesothelioma’s disease

(2011) Orhan Er et al.   COMPUTERS & ELECTRICAL ENGINEERING

Permutation importance: a corrected feature importance measure

(2010) André Altmann et al.   BIOINFORMATICS

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS