BIGDATA4HEALTH 2017

The second international workshop on “Big Data Analytics for Smart and Connected Health” was held on July 17, 2017 at Philadelphia USA, in which more than twenty people from several countries participated. The workshop went for around four hours. It was divided into two sessions, named “eHealth in Cloud Environment” and “Novel Applications on Smart and Mobile Devices”, which were chaired by Prof. Dechang Chen, Uniformed Services University of the Health Sciences.

Firstly Professor Zoran Obradovic (Laura H. Carnell Professor, Temple University) presented a keynote speech entitled “Smart Decision Making in Connected Healthcare by Structured Learning from Qualitative Knowledge and Big Data”. Soon after this, seven papers were presented consecutively, including “Analyzing the Correlations Between the Uninsured and Diabetes Prevalence Rates in Geographic Regions in the United States” (Xiao Luo, Indiana University–Purdue University Indianapolis, USA), “Learning to Read Chest X-Ray Images from 16000+ Examples Using CNN” (Wei Xu et al, Tsinghua University, China), “Clustering Big Cancer Data by Effect Size” (Dechang Chen et al., The Uniformed Services University of the Health Sciences, USA), “A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems based upon Scenario Profile Analysis” (Iván Contreras et al, Universitat de Girona, Spain), “A Privacy-Preserving Distributed Medical Insurance Claim Clearinghouse & EHR Application” (Nicholas Maxemchuk et al, Columbia University, USA), “A Data Preprocessing Technique for Gesture Recognition Based on Extended-Kalman-Filter” (Dalei Wu et al, University of Tennessee at Chattanooga, USA), and “RESPIRE: A Spectral Kurtosis-based Method to Extract Respiration Rate fromWearable PPG Signals” (Kunal Mankodiya et al, University of Rhode Island, USA).

In the end the international colleagues had some communication about the novelty of the topics discussed in the workshop and the paper presented. The workshop went smooth and fine, as scheduled. It was a professionally managed and well organized event in which researchers and practitioners in mobile computing, biomedical and machine learning showcased the progress, algorithms, and applications of analyzing and extracting knowledge from large-scale datasets for smart and connected healthcare.

The group photo was taken after the second conference. (July 17, 2017)

BIGDATA4HEALTH 2016

The first international workshop on “Big Data Analytics for Smart and Connected Health” was held on 27th of June, 2016 at Washington D.C. USA, in which more than twenty people from several countries participated. The workshop went for more than three and half hours. It was divided into two sessions, named “eHealth in Cloud Environment” and “Novel Applications on Smart and Mobile Devices”, which were chaired by Prof. Dechang Chen, Uniformed Services University of the Health Sciences.

Firstly Professor Chandan Reddy (Senior Member of IEEE, Wayne State University, USA) presented a keynote speech entitled “Survival Regression and Transfer Learning Methods for Patient Risk Prediction”. Soon after this, the first paper, titled “Clustering Cancer Data by Areas between Survival Curves” was presented. The second paper presented was on “Large Scale Cloud-Based Deformable Registration for Image Guided Therapy”. After this, three more papers were presented in a row, one after the other, whose tittles are “Bring Biomedical Ontologies to Personalized Healthcare: A Smart Inquiry Framework”, “BigEAR: Inferring the Ambient and Emotional Correlates from Smartphone-based Acoustic Big Data”, and “A Mobile Cloud Computing Model Using the Cloudlet Scheme for Big Data Applications” respectively.

In the end the international colleagues had some communication about the novelty of the topics discussed in the workshop and the paper presented. The workshop went smooth and fine, as scheduled. It was a professionally managed and well organized event in which researchers and practitioners in mobile computing, biomedical and machine learning showcased the progress, algorithms, and applications of analyzing and extracting knowledge from large-scale datasets for smart and connected healthcare.

The group photo was taken after the first conference. (June 27,2016)