Big Data in Psychiatry and Neurology

1. Best practices for supervised machine learning when examining biomarkers in clinical populationsBenjamin G. Schultz, Zaher Joukhadar, Usha Nattala, Maria del Mar Quiroga, Francesca Bolk, and Adam P. Vogel 2. Big data in personalized healthcareLidong Wang and Cheryl Alexander 3. Longitudinal data analysis: The multiple indicators growth curve model approachThierno M.O. Diallo and Ahmed A. Moustafa 4. Challenges and solutions for big data in personalized healthcareTim Hulsen 5. Data linkages in epidemiologySinead Moylett 6. Neutrosophic rule-based classification system and its medical applicationsSameh H. Basha, Areeg Abdalla, and Aboul Ella Hassanien 7. From complex to neural networksNicola Amoroso and Loredana Bellantuono 8. The use of Big Data in psychiatry-The role of administrative databasesManuel Goncalves-Pinho and Alberto Freitas 9. Predicting the emergence of novel psychoactive substances with big dataRobert Todd Perdue and James Hawdon 10. Hippocampus segmentation in MR images: Multiatlas methods and deep learning methodsHancan Zhu, Shuai Wang, Liangqiong Qu, and Dinggang Shen 11. A scalable medication intake monitoring systemDiane Myung-Kyung Woodbridge and Kevin Bengtson Wong 12. Evaluating cascade prediction via different embedding techniques for disease mitigationAbhinav Choudhury, Shubham Shakya, Shruti Kaushik, and Varun Dutt 13. A two-stage classification framework for epileptic seizure prediction using EEG wavelet-based featuresSahar Elgohary, Mahmoud I. Khalil, and Seif Eldawlatly 14. Visual neuroscience in the age of big data and artificial intelligenceKohitij Kar 15. Application of big data and artificial intelligence approaches in diagnosis and treatment of neuropsychiatric diseasesQiurong Song, Tianhui Huang, Xinyue Wang, Jingxiao Niu, Wang Zhao, Haiqing Xu, and Long Lu 16. Leveraging big data to augment evidence-informed precise public health responseG.V. Asokan and Mohammed Yousif Abbas Mohammed 17. How big data analytics is changing the face of precision medicine in women's healthMaryam Panahiazar, Maryam Karimzadehgan, Roohallah Alizadehsani, Dexter Hadley, and Ramin E. Beygui