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Royal Society Open Science|August 10, 2017
Machine learning landscapes and predictions for patient outcomesRitankar Das, David J WalesPhysical Review. E|July 15, 2016
Energy landscapes for a machine-learning prediction of patient dischargeRitankar Das, David J WalesThe Journal of Chemical Physics|April 3, 2016
Energy landscapes for a machine learning application to series dataAndrew J Ballard, Jacob D Stevenson, Ritankar Das, et al.BMJ Open|September 18, 2017
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approachThomas Desautels, Ritankar Das, Jacob Calvert, et al.Physical Chemistry Chemical Physics : PCCP|April 4, 2017
Energy landscapes for machine learningAndrew J Ballard, Ritankar Das, Stefano Martiniani, et al.BMJ Open Quality|February 17, 2018
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor unitsAndrea McCoy, Ritankar DasJMIR Medical Informatics|October 4, 2016
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning ApproachThomas Desautels, Jacob Calvert, Jana Hoffman, et al.Physical Review. E|April 19, 2017
Decoding heat capacity features from the energy landscapeDavid J WalesThe Journal of Physical Chemistry Letters|July 8, 2022
Dynamical Signatures of Multifunnel Energy LandscapesDavid J WalesCurrent Opinion in Structural Biology|January 26, 2010
Energy landscapes: some new horizonsDavid J WalesPageof 30