Big Data Analytics in Healthcare

The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration. However, the adoption rate and research development in this space is still hindered by some fundamental problems inherent within the big data paradigm. In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics. Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed. Potential areas of research within this field which have the ability to provide meaningful impact on healthcare delivery are also examined.

[1]  Monica L. Mo,et al.  Global reconstruction of the human metabolic network based on genomic and bibliomic data , 2007, Proceedings of the National Academy of Sciences.

[2]  Filipe Portela,et al.  Enabling Ubiquitous Data Mining in Intensive Care - Features Selection and Data Pre-processing , 2011, ICEIS.

[4]  Serge Eifes,et al.  Gene Expression Profiling Related to Anti‐inflammatory Properties of Curcumin in K562 Leukemia Cells , 2009, Annals of the New York Academy of Sciences.

[5]  S. Salzberg,et al.  Repetitive DNA and next-generation sequencing: computational challenges and solutions , 2011, Nature Reviews Genetics.

[6]  James Lyons-Weiler,et al.  A New Microarray, Enriched in Pancreas and Pancreatic Cancer cDNAs to Identify Genes Relevant to Pancreatic Cancer. , 2004, Cancer genomics & proteomics.

[7]  B. Drew,et al.  Insights into the Problem of Alarm Fatigue with Physiologic Monitor Devices: A Comprehensive Observational Study of Consecutive Intensive Care Unit Patients , 2014, PloS one.

[8]  Theresa Wizemann,et al.  Informatics Needs and Challenges in Cancer Research: Workshop Summary , 2012 .

[9]  R. Wilson,et al.  The Next-Generation Sequencing Revolution and Its Impact on Genomics , 2013, Cell.

[10]  Alan R. Hevner,et al.  Healthcare Data Warehousing and Quality Assurance , 2001, Computer.

[11]  Srikrishna Prasad,et al.  NextGen data persistence pattern in healthcare: Polyglot persistence , 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

[12]  Pascal Borry,et al.  Reflections on the Cost of "Low-Cost" Whole Genome Sequencing: Framing the Health Policy Debate , 2013, PLoS biology.

[13]  Eric C. Matten,et al.  Monitoring in Anesthesia and Perioperative Care , 2012 .

[14]  Jorge Werner,et al.  A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions , 2010, 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine.

[15]  Benoit Desjardins,et al.  Infarct architecture and characteristics on delayed enhanced magnetic resonance imaging and electroanatomic mapping in patients with postinfarction ventricular arrhythmia. , 2009, Heart rhythm.

[16]  Hyoil Han,et al.  An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[17]  Viju Raghupathi,et al.  Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.

[18]  Treenut Saithong,et al.  Analysis and Practical Guideline of Constraint-Based Boolean Method in Genetic Network Inference , 2012, PloS one.

[19]  Atul J. Butte,et al.  Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges , 2012, PLoS Comput. Biol..

[20]  J. McCullough,et al.  The effect of health information technology on quality in U.S. hospitals. , 2010, Health affairs.

[21]  Gómez Adrián,et al.  MongoDB : An open source alternative for HL 7-CDA clinical documents management , 2013 .

[22]  C Flores-Mir,et al.  Role of different imaging modalities in assessment of temporomandibular joint erosions and osteophytes: a systematic review. , 2008, Dento maxillo facial radiology.

[23]  Peter Fu-Ming Hu,et al.  Automatic Pre-Hospital Vital Signs Waveform and Trend Data Capture Fills Quality Management, Triage and Outcome Prediction Gaps , 2008, AMIA.

[24]  T. H. Kyaw,et al.  Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database* , 2011, Critical care medicine.

[25]  J. Anthony Seibert,et al.  Modalities and Data Acquisition , 2009 .

[26]  P. Khatri,et al.  Global functional profiling of gene expression ? ? This work was funded in part by a Sun Microsystem , 2003 .

[27]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[28]  Diogo M. Camacho,et al.  Wisdom of crowds for robust gene network inference , 2012, Nature Methods.

[29]  Katherine C. Chen,et al.  Integrative analysis of cell cycle control in budding yeast. , 2004, Molecular biology of the cell.

[30]  Vince D. Calhoun,et al.  A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia , 2010, Front. Hum. Neurosci..

[31]  H. Möller,et al.  Disease prediction in the at-risk mental state for psychosis using neuroanatomical biomarkers: results from the FePsy study. , 2012, Schizophrenia bulletin.

[32]  M. Bodó,et al.  Multimodal noninvasive monitoring of soft tissue wound healing , 2013, Journal of Clinical Monitoring and Computing.

[33]  Neil Swainston,et al.  Integration of metabolic databases for the reconstruction of genome-scale metabolic networks , 2010, BMC Systems Biology.

[34]  L. Hood,et al.  Predictive, personalized, preventive, participatory (P4) cancer medicine , 2011, Nature Reviews Clinical Oncology.

[35]  James S. Duncan,et al.  Medical Image Analysis , 1999, IEEE Pulse.

[36]  Brad T. Sherman,et al.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.

[37]  Alastair Baker,et al.  Crossing the Quality Chasm: A New Health System for the 21st Century , 2001, BMJ : British Medical Journal.

[38]  Kayvan Najarian,et al.  Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey , 2013, TheScientificWorldJournal.

[39]  D. Floreano,et al.  Revealing strengths and weaknesses of methods for gene network inference , 2010, Proceedings of the National Academy of Sciences.

[40]  Joon Lee,et al.  Accessing the public MIMIC-II intensive care relational database for clinical research , 2013, BMC Medical Informatics and Decision Making.

[41]  Vasif V. Nabiyev,et al.  Medical image security and EPR hiding using Shamir's secret sharing scheme , 2011, J. Syst. Softw..

[42]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[43]  M. Daly,et al.  PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.

[44]  Kayvan Najarian,et al.  Intracranial pressure level prediction in traumatic brain injury by extracting features from multiple sources and using machine learning methods , 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

[45]  Matt Welsh,et al.  CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care , 2004 .

[46]  Weider D. Yu,et al.  A distributed storage solution for cloud based e-Healthcare Information System , 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

[47]  A. Abbosh,et al.  Novel Preprocessing Techniques for Accurate Microwave Imaging of Human Brain , 2013, IEEE Antennas and Wireless Propagation Letters.

[48]  Erwin P. Gianchandani,et al.  The application of flux balance analysis in systems biology , 2010, Wiley interdisciplinary reviews. Systems biology and medicine.

[49]  M. Ellis,et al.  Incorporating Genomics into Breast Cancer Clinical Trials and Care , 2013, Clinical Cancer Research.

[50]  Jihoon Kim,et al.  iDASH: integrating data for analysis, anonymization, and sharing , 2012, J. Am. Medical Informatics Assoc..

[51]  K. Graham,et al.  Monitor alarm fatigue: standardizing use of physiological monitors and decreasing nuisance alarms. , 2010, American journal of critical care : an official publication, American Association of Critical-Care Nurses.

[52]  Jimeng Sun,et al.  A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support , 2010, 2010 IEEE International Conference on Data Mining.

[53]  Eytan Ruppin,et al.  Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model , 2010, Bioinform..

[54]  Pascale Carayon,et al.  A human factors engineering conceptual framework of nursing workload and patient safety in intensive care units. , 2005, Intensive & critical care nursing.

[55]  International Human Genome Sequencing Consortium.  Initial sequencing and analysis of the human genome , 2001, Nature.

[56]  A Smolinska,et al.  Current breathomics—a review on data pre-processing techniques and machine learning in metabolomics breath analysis , 2014, Journal of breath research.

[57]  C. Lynch.  Big data: How do your data grow? , 2008, Nature.

[58]  Rui-Sheng Wang,et al.  Boolean modeling in systems biology: an overview of methodology and applications , 2012, Physical biology.

[59]  Ralf Zimmer,et al.  Inferring gene regulatory networks by ANOVA , 2012, Bioinform..

[60]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[61]  Martin Engelhardt,et al.  Statistical validation metric for accuracy assessment in medical image segmentation , 2007, International Journal of Computer Assisted Radiology and Surgery.

[62]  Pierre Jannin,et al.  Validation in medical image processing. , 2017 .

[63]  Feng Qi,et al.  A parallel algorithm for reverse engineering of biological networks. , 2011, Integrative biology : quantitative biosciences from nano to macro.

[64]  Xing Li,et al.  The Inferred Cardiogenic Gene Regulatory Network in the Mammalian Heart , 2013, PloS one.

[65]  R. Weissleder.  Molecular Imaging in Cancer , 2006, Science.

[66]  Tongbin Li,et al.  Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data , 2015, BMC Bioinformatics.

[67]  Henning Müller,et al.  Gesture Interaction for Content--based Medical Image Retrieval , 2014, ICMR.

[68]  Henning Müller,et al.  Multi atlas-based segmentation with data driven refinement , 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

[69]  Jagadeesan Jayender,et al.  Multimodal imaging for improved diagnosis and treatment of cancers , 2015, Cancer.

[70]  Elena Baralis,et al.  Real-Time Analysis of Physiological Data to Support Medical Applications , 2009, IEEE Transactions on Information Technology in Biomedicine.

[71]  Jean-Loup Faulon,et al.  Boolean dynamics of genetic regulatory networks inferred from microarray time series data , 2007, Bioinform..

[72]  Noboru Niki,et al.  Teleradiology network system on cloud using the web medical image conference system with a new information security solution , 2012, Medical Imaging.

[73]  Samuel M. Galvagno,et al.  Identification of dynamic prehospital changes with continuous vital signs acquisition. , 2014, Air medical journal.

[74]  A. Lomax,et al.  Quantifying the impact of respiratory-gated 4D CT acquisition on thoracic image quality: a digital phantom study. , 2014, Medical physics.

[75]  Anton Burykin,et al.  Using "off-the-shelf" tools for terabyte-scale waveform recording in intensive care: Computer system design, database description and lessons learned , 2011, Comput. Methods Programs Biomed..

[76]  David A. Orlando,et al.  Revisiting Global Gene Expression Analysis , 2012, Cell.

[77]  Illhoi Yoo,et al.  Data Mining in Healthcare and Biomedicine: A Survey of the Literature , 2012, Journal of Medical Systems.

[78]  Ling Lin,et al.  A Multiple Biomedical Signals Synchronous Acquisition Circuit Based on Over-Sampling and Shaped Signal for the Application of the Ubiquitous Health Care , 2014, Circuits Syst. Signal Process..

[79]  David Beymer,et al.  Large-scale multimodal mining for healthcare with mapreduce , 2010, IHI.

[80]  N. Menachemi,et al.  Hospital quality of care: Does information technology matter? The relationship between information technology adoption and quality of care , 2008, Health care management review.

[81]  Ronan M. T. Fleming,et al.  A community-driven global reconstruction of human metabolism , 2013, Nature Biotechnology.

[82]  T. Creighton.  Methods in Enzymology , 1968, The Yale Journal of Biology and Medicine.

[83]  Guy Karlebach,et al.  Modelling and analysis of gene regulatory networks , 2008, Nature Reviews Molecular Cell Biology.

[84]  Nathan D. Price,et al.  Demystifying Disease, Democratizing Health Care , 2014, Science Translational Medicine.

[85]  M. Blaxter,et al.  Genome-wide genetic marker discovery and genotyping using next-generation sequencing , 2011, Nature Reviews Genetics.

[86]  M Smith,et al.  Multimodal monitoring in traumatic brain injury: current status and future directions. , 2007, British journal of anaesthesia.

[87]  Weiwen Zhang,et al.  Integrating multiple 'omics' analysis for microbial biology: application and methodologies. , 2010, Microbiology.

[88]  Rainer Breitling,et al.  What is Systems Biology? , 2010, Front. Physiology.

[89]  Rick L. Stevens,et al.  High-throughput generation, optimization and analysis of genome-scale metabolic models , 2010, Nature Biotechnology.

[90]  Henning Müller,et al.  Using MapReduce for Large-Scale Medical Image Analysis , 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

[91]  Pornpimol Charoentong,et al.  ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks , 2009, Bioinform..

[92]  Bahram Jalali,et al.  The Anamorphic Stretch Transform: Putting the Squeeze on ``Big Data'' , 2014 .

[93]  F. Stuart Foster,et al.  Acoustic Angiography: A New Imaging Modality for Assessing Microvasculature Architecture , 2013, Int. J. Biomed. Imaging.

[94]  Carolyn McGregor,et al.  Trends and opportunities for integrated real time neonatal clinical decision support , 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

[95]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[96]  A. Bouguettaya,et al.  Healthcare data warehousing and quality assurance , 2001 .

[97]  Hanchuan Peng,et al.  3-D Registration of Biological Images and Models: Registration of microscopic images and its uses in segmentation and annotation , 2015, IEEE Signal Processing Magazine.

[98]  David J. Stone,et al.  "Big data" in the intensive care unit. Closing the data loop. , 2013, American journal of respiratory and critical care medicine.

[99]  Kevin W. Bowyer,et al.  Validation of Medical Image Analysis Techniques , 2000 .

[100]  José M. F. Moura,et al.  Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure , 2014, IEEE Signal Processing Magazine.

[101]  Amir H. Golnabi,et al.  Tomographic Microwave Imaging With Incorporated Prior Spatial Information , 2013, IEEE Transactions on Microwave Theory and Techniques.

[102]  Deepak S. Turaga,et al.  Mining of Sensor Data in Healthcare: A Survey , 2015, Healthcare Data Analytics.

[103]  Jie Chen,et al.  Grand challenges for multimodal bio-medical systems , 2005 .

[104]  Samuel M. Brown,et al.  Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients? , 2014, Critical Care.

[105]  Shuhei Kimura,et al.  Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm , 2005, Bioinform..

[106]  Jason A. Papin,et al.  Whole-genome metabolic network reconstruction and constraint-based modeling. , 2011, Methods in enzymology.

[107]  E. Mardis,et al.  Prioritizing targets for precision cancer medicine. , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.

[108]  J Lee,et al.  A hypotensive episode predictor for intensive care based on heart rate and blood pressure time series , 2010, 2010 Computing in Cardiology.

[109]  Philip E. Bourne,et al.  Drug Off-Target Effects Predicted Using Structural Analysis in the Context of a Metabolic Network Model , 2010, PLoS Comput. Biol..

[110]  Gerhard-Wilhelm Weber,et al.  Modeling gene regulatory networks with piecewise linear differential equations , 2007, Eur. J. Oper. Res..

[111]  P. Geurts,et al.  Inferring Regulatory Networks from Expression Data Using Tree-Based Methods , 2010, PloS one.

[112]  P. Khatri,et al.  Profiling gene expression using onto-express. , 2002, Genomics.

[113]  D. Okada,et al.  Digital Image Processing for Medical Applications , 2009 .

[114]  Chia-Chi Teng,et al.  A medical image archive solution in the cloud , 2010, 2010 IEEE International Conference on Software Engineering and Service Sciences.

[115]  Hugo Y. K. Lam,et al.  Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes , 2012, Cell.

[116]  J. Osheroff,et al.  Clinical Decision Support Systems : State of the Art , 2009 .

[117]  E. Feldmann,et al.  Imaging of cerebrovascular disorders: precision medicine and the collaterome , 2016, Annals of the New York Academy of Sciences.

[118]  P. Khatri,et al.  A systems biology approach for pathway level analysis. , 2007, Genome research.

[119]  Piotr Indyk,et al.  Recent Developments in the Sparse Fourier Transform: A compressed Fourier transform for big data , 2014, IEEE Signal Processing Magazine.

[120]  Pascale Carayon,et al.  Human factors of complex sociotechnical systems. , 2006, Applied ergonomics.

[121]  J. Claude Hemphill,et al.  Multimodal monitoring and neurocritical care bioinformatics , 2011, Nature Reviews Neurology.

[122]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[123]  Jumoke Soyemi,et al.  Bioinformatics, Healthcare Informatics and Analytics: An Imperative for Improved Healthcare System , 2015 .

[124]  Wei-Yen Hsu,et al.  Segmentation-based compression: New frontiers of telemedicine in telecommunication , 2015, Telematics Informatics.

[125]  David Freeman.  The future of patient monitoring. , 2009, Health management technology.

[126]  D. Bates,et al.  The Critical Care Safety Study: The incidence and nature of adverse events and serious medical errors in intensive care* , 2005, Critical care medicine.

[127]  Guofan Jin,et al.  Full-range in-plane rotation measurement for image recognition with hybrid digital-optical correlator , 2013 .

[128]  R G Mark,et al.  MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring , 2002, Computers in Cardiology.

[129]  A. Franklin,et al.  Sub-optimal Patterns of Information Use: A Rational Analysis of Information Seeking Behavior in Critical Care , 2014 .

[130]  Euan A Ashley,et al.  Clinical interpretation and implications of whole-genome sequencing. , 2014, JAMA.

[131]  J.M. Van Thong,et al.  BioStream: a system architecture for real-time processing of physiological signals , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[132]  Nagasuma R. Chandra,et al.  Flux balance analysis of biological systems: applications and challenges , 2009, Briefings Bioinform..

[133]  L. Hood,et al.  A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. , 2012, New biotechnology.

[134]  Robert B. Hartlage,et al.  This PDF file includes: Materials and Methods , 2009 .

[135]  Dan Feldman,et al.  The single pixel GPS: learning big data signals from tiny coresets , 2012, SIGSPATIAL/GIS.

[136]  Kermin Fleming,et al.  ZIP-IO: Architecture for application-specific compression of Big Data , 2012, 2012 International Conference on Field-Programmable Technology.

[137]  Bernhard Mlecnik,et al.  CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data , 2013, Bioinform..

[138]  Nadjia Kara,et al.  Reasoning with Contextual Data in Telehealth Applications , 2007, Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2007).

[139]  Sowmya R. Rao,et al.  Electronic health records in ambulatory care--a national survey of physicians. , 2008, The New England journal of medicine.

[140]  Jason A. Papin,et al.  Functional integration of a metabolic network model and expression data without arbitrary thresholding , 2011, Bioinform..

[141]  Mohammed Saeed,et al.  Design and implementation of a hospital wide waveform capture system , 2015, Journal of Clinical Monitoring and Computing.

[142]  Adam Jacobs,et al.  The pathologies of big data , 2009, Commun. ACM.

[143]  David M. Simcha,et al.  Tackling the widespread and critical impact of batch effects in high-throughput data , 2010, Nature Reviews Genetics.

[144]  Russ B. Altman,et al.  Bioinformatics challenges for personalized medicine , 2011, Bioinform..

[145]  Jin Zhang,et al.  Xbase: cloud-enabled information appliance for healthcare , 2010, EDBT '10.

[146]  Yannis A. Tolias,et al.  ICASP: An Intensive-Care Acquisition and Signal Processing Integrated Framework , 2005, Journal of Medical Systems.

[147]  Julio Saez-Rodriguez,et al.  Crowdsourcing Network Inference: The DREAM Predictive Signaling Network Challenge , 2011, Science Signaling.

[148]  Mohammed Saeed,et al.  Predicting ICU hemodynamic instability using continuous multiparameter trends , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[149]  Muthuramakrishnan Venkitasubramaniam,et al.  Cloud-based secure health monitoring: Optimizing fully-homomorphic encryption for streaming algorithms , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[150]  Marc-André Delsuc,et al.  Efficient denoising algorithms for large experimental datasets and their applications in Fourier transform ion cyclotron resonance mass spectrometry , 2014, Proceedings of the National Academy of Sciences.

[151]  Chao-Tung Yang,et al.  Implementation of a Medical Image File Accessing System on Cloud Computing , 2010, 2010 13th IEEE International Conference on Computational Science and Engineering.

[152]  May D. Wang,et al.  GoMiner: a resource for biological interpretation of genomic and proteomic data , 2003, Genome Biology.

[153]  Alexey Tsymbal,et al.  Towards cloud-based image-integrated similarity search in big data , 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

[154]  B. Palsson,et al.  Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods , 2012, Nature Reviews Microbiology.

[155]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[156]  Hairong Kuang,et al.  The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).

[157]  Shuying Shen,et al.  2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text , 2011, J. Am. Medical Informatics Assoc..

[158]  Adam M. Feist,et al.  Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli , 2013, Molecular systems biology.

[159]  E. V. Van Allen,et al.  Clinical analysis and interpretation of cancer genome data. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[160]  J. Gerard Wolff,et al.  Big Data and the SP Theory of Intelligence , 2013, IEEE Access.

[161]  Q. Nguyen,et al.  Molecular imaging for cancer diagnosis and surgery. , 2014, Advanced drug delivery reviews.

[162]  A. Seely,et al.  Continuous Multi-Parameter Heart Rate Variability Analysis Heralds Onset of Sepsis in Adults , 2009, PloS one.

[163]  S. Winkler,et al.  A new telemonitoring system intended for chronic heart failure patients using mobile telephone technology--feasibility study. , 2011, International journal of cardiology.

[164]  Lu Wang,et al.  Electrocardiogram characteristics prior to in-hospital cardiac arrest , 2014, Journal of Clinical Monitoring and Computing.

[165]  M. D. Murphy,et al.  Clinical practice as natural laboratory for psychotherapy research: a guide to case-based time-series analysis. , 2008, The American psychologist.

[166]  Kayvan Najarian,et al.  Rule-based Computer Aided Decision Making for Traumatic Brain Injuries , 2014, Machine Learning in Healthcare Informatics.

[167]  Chun Kiat Tan,et al.  Security Protection of DICOM Medical Images Using Dual-Layer Reversible Watermarking with Tamper Detection Capability , 2011, Journal of Digital Imaging.

[168]  Til Aach,et al.  Challenges of medical image processing , 2011, Computer Science - Research and Development.

[169]  Yasser El-Sonbaty,et al.  MedCloud: Healthcare cloud computing system , 2012, 2012 International Conference for Internet Technology and Secured Transactions.

[170]  M. Cvach.  Monitor alarm fatigue: an integrative review. , 2012, Biomedical instrumentation & technology.

[171]  Paul Zikopoulos,et al.  Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data , 2011 .

[172]  Aboul Ella Hassanien,et al.  Hybrid system for lymphatic diseases diagnosis , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[173]  Yike Guo,et al.  tranSMART: An Open Source and Community-Driven Informatics and Data Sharing Platform for Clinical and Translational Research , 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

[174]  Rinkle Rani,et al.  Managing Data in Healthcare Information Systems: Many Models, One Solution , 2015, Computer.

[175]  João Manuel R S Tavares,et al.  Medical image registration: a review , 2014, Computer methods in biomechanics and biomedical engineering.

[176]  Jason A. Papin,et al.  Integration of expression data in genome-scale metabolic network reconstructions , 2012, Front. Physio..

[177]  Chad M. Miller,et al.  Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care , 2014, Intensive Care Medicine.