Last Posted: Aug 03, 2019
- Identifying Smoking Environments From Images of Daily Life With Deep Learning
MM Engelhard et al, JAMA Network Open, August 2, 2019 - [Deep learning to support therapy decisions for intravitreal injections].
Prahs P et al. Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft 2018 Sep 115(9) 722-727 - Application of Machine Learning to Predict Dietary Lapses During Weight Loss.
Goldstein Stephanie P et al. Journal of diabetes science and technology 2018 12(5) 1045-1052 - Boosting Clinical Decision-making: Machine Learning for Intensive Care Unit Discharge.
Cosgriff Christopher Vincent et al. Annals of the American Thoracic Society 2018 15(7) 804-805 - Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.
Kornfield Rachel et al. Journal of medical Internet research 2018 20(6) e10136 - Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.
Hong Huixiao et al. Scientific reports 2017 7(1) 17311 - Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms.
Mesallam Tamer A et al. Journal of healthcare engineering 2017 20178783751 - Eigen Posture Based Fall Risk Assessment System Using Kinect.
Tripathy Soumya Ranjan et al. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2018 20181-4 - Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models.
Muñoz Emir et al. Briefings in bioinformatics 2019 20(1) 190-202 - Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach.
Metri Rahul et al. Scientific reports 2017 7(1) 17314
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