1.Gates PJ, Baysari MT, Mumford V, Raban MZ, Westbrook JI. Standardising the Classification of Harm Associated with Medication Errors: The Harm Associated with Medication Error Classification (HAMEC). Drug Saf 2019,42:931–939.
2.Mekonnen AB, Alhawassi TM, McLachlan AJ, Brien JE. Adverse Drug Events and Medication Errors in African Hospitals: A Systematic Review. Drugs Real World Outcomes 2018,5:1–24.
3.Zhong W, Feinstein JA, Patel NS, Dai D, Feudtner C. Tall Man lettering and potential prescription errors: a time series analysis of 42 children’s hospitals in the USA over 9 years. BMJ Qual Saf 2016,25:233–240.
4.Rash-Foanio C, Galanter W, Bryson M, Falck S, Liu KL, Schiff GD, Vaida A, Lambert BL. Automated detection of look-alike/sound-alike medication errors. Am J Health Syst Pharm 2017,74:521–527.
5.Testa M, Pollard J. Safe pill-dispensing. Stud Health Technol Inform 2007,127:139–146.
6.Harolds JA, Harolds LB. Quality and Safety in Health Care, Part X: Other Technology to Reduce Medication Errors. Clin Nucl Med 2016,41:376–378.
7.Pedersen CA, Schneider PJ, Scheckelhoff DJ. ASHP national survey of pharmacy practice in hospital settings: Dispensing and administration—2014. Am J Health Syst Pharm 2015,72:1119–1137.
8.Lee YB, Park U, Jain AK, Lee SW. Pill-ID: Matching and retrieval of drug pill images. Pattern Recognition Letters 2012,33:904–910.
9.Taran O, Rezaeifar S, Dabrowski O, Schlechten J, Holotyak T, Voloshynovskiy S. PharmaPack: mobile fine-grained recognition of pharma packages. Eur Signal Pr Conf 2017:1917–1921.
10.Saitoh K. Pharmaceutical Blister Pack Recognition using Local Features. In: MVA2013 IAPR International Conference on Machine Vision Applications. Kyoto, Japan; 2013: 355–358.
11.Li Y, Huang C, Ding L, Li Z, Pan Y, Gao X. Deep learning in bioinformatics: Introduction, application, and perspective in the big data era. Methods 2019,166:4–21.
12.Ravi D, Wong C, Deligianni F, Berthelot M, Andreu-Perez J, Lo B, Yang GZ. Deep Learning for Health Informatics. IEEE J Biomed Health Inform 2017,21:4–21.
13.Sainath TN, Kingsbury B, Saon G, Soltau H, Mohamed AR, Dahl G, Ramabhadran B. Deep Convolutional Neural Networks for large-scale speech tasks. Neural Netw 2015,64:39–48.
14.Lopez-de-Ipina K, Martinez-de-Lizarduy U, Calvo PM, Mekyska J, Beitia B, Barroso N, Estanga A, Tainta M, Ecay-Torres M. Advances on Automatic Speech Analysis for Early Detection of Alzheimer Disease: A Non-linear Multi-task Approach. Curr Alzheimer Res 2018,15:139–148.
15.Zou L, Yu S, Meng T, Zhang Z, Liang X, Xie Y. A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis. Comput Math Methods Med 2019,2019:6509357.
16.Deng W, Shi Q, Luo K, Yang Y, Ning N. Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature. J Med Syst 2019,43:152.
17.Ekins S, Puhl AC, Zorn KM, Lane TR, Russo DP, Klein JJ, Hickey AJ, Clark AM. Exploiting machine learning for end-to-end drug discovery and development. Nat Mater 2019,18:435–441.
18.You J, McLeod RD, Hu P. Predicting drug-target interaction network using deep learning model. Comput Biol Chem 2019,80:90–101.
19.Gao M, Igata H, Takeuchi A, Sato K, Ikegaya Y. Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds. J Pharmacol Sci 2017,133:70–78.
20.Wong YF, Ng HT, Leung KY, Chan KY, Chan SY, Loy CC. Development of fine-grained pill identification algorithm using deep convolutional network. J Biomed Inform 2017,74:130–136.
21.Szegedy C, Liu W, Jia YQ, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A. Going Deeper with Convolutions. Proc Cvpr Ieee 2015:1–9.
22.Lecun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition. P Ieee 1998,86:2278–2324.
23.Krizhevsky A, Sutskever I, Hinton GE. ImageNet Classification with Deep Convolutional Neural Networks. Commun Acm 2017,60:84–90.
24.Girshick R, Donahue J, Darrell T, Malik J. Rich feature hierarchies for accurate object detection and semantic segmentation. 2014 IEEE Conference on Computer Vision and Pattern Recognition (Cvpr), 2014:580–587.
25.Ren SQ, He KM, Girshick R, Sun J. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017,39:1137–1149.
26.Redmon J, Divvala S, Girshick R, Farhadi A. You Only Look Once: Unified, Real-Time Object Detection. 2016 IEEE Conference on Computer Vision and Pattern Recognition (Cvpr), 2016:779–788.
27.Gilmartin JFM, Hussainy SY, Marriott JL. Medicines in Australian nursing homes: A cross-sectional observational study of the accuracy and suitability of re-packing medicines into pharmacy-supplied dose administration aids. Res Soc Admin Pharm 2013,9:876–883.
28.Custers D, Vandemoortele S, Bothy JL, De Beer JO, Courselle P, Apers S, Deconinck E. Physical profiling and IR spectroscopy: simple and effective methods to discriminate between genuine and counterfeit samples of Viagra (R) and Cialis (R). Drug Test Anal 2016,8:378–387.