Medical Informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clinical and research datasets. The common computational tasks of medical informatics are accessible to anyone willing to learn the basics. Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby demonstrates that biomedical professionals with fundamental programming knowledge can master any kind of data collection.
Related Journals of Methods in Medical Informatics
Journal of Proteomics & Bioinformatics, Dentistry, Journal of Computer Science & Systems Biology, Current Synthetic & Systems Biology, Journal of Pharmacogenomics & Pharmacoproteomics, Journal of Biomedical and Health Informatics, The Open Medical Informatics Journal, BMC Medical Informatics and Decision Making, International Journal of Medical Informatics, Journal of Biomedical Informatics, Health Informatics Journal, Journal of Glycomics & Lipidomics, Journal of Health & Medical Informatics, Computers in Biology and Medicine, Statistics in Medicine.