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Alevtina Dubovitskaya
Lecturer, Consultant at Lucerne University of Applied Sciences (HSLU) & Swisscom
adverse effect, attention, blockchain, blockchain explained, blockchain for business, blockchain technology, blockchain training, blockchain tutorial, blockchain tutorial for beginners, business process, business process management, case management (us healthcare system), chronic condition, clinical trial, cloud computing, command-line interface, computer file, computer network, consensus decision-making, consent, contributing to open source, database, decision-making, diabetes, disease, disease management (health), distributed computing, education, electronic health record, encryption, evidence-based medicine, health care, health informatics, health information exchange, health insurance, hospital, hyperledger, hyperledger blockchain, hyperledger fabric, hyperledger in blockchain, hyperledger projects, identity management, information, information privacy, information retrieval, innovation, interface (computing), introduction to hyperledger, language, law, linux, medical history, medical prescription, medical research, medication, metadata, music, open source, open source software, open-source software, outcomes research, patient, pharmaceutical industry, physician, prescription drug, privacy, privacy laws of the united states, process management (computing), research, science, server (computing), smart contract, travel visa, truth, type 2 diabetes, user interface, web server, what is blockchain, what is hyperledger, what is open source, world wide web
Reenu Saluja
Commercial Software Engineering at Microsoft
analytics, big data, computer hardware, computer security, computing, consumption (economics), covid-19 pandemic, database, end user, gross domestic product, implementation, innovation, interface (computing), medical history, metadata, mobile app, open data, pipeline (unix), requirement, research, software , specification (technical standard), supply chain, user (computing)
Aysegul Yonet
Senior Cloud Developer Advocate at Microsoft
ai, air traffic control, alon bochman, analytics, anand raman, andrew clear, api, applied ai, automation, ayşegül yönet, azure, azure applied ai, azure cognitive services, azure machine learning, breakout session, brk220, build, build intelligent applications infused with world-class ai | brk220, c1x9, clinical trial, cnv, dewain robinson, disease, electronic health record, elena neroslavskaya, eric boyd, erin dormier, file format, gary pretty, gpt-3, health care, leak detection, machine learning, medical history, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, msft build, msft build 2021, openai, page layout, phani mutyala, project jupyter, pytorch, speech recognition, speech synthesis, text mining, time series, transcription (linguistics), twitter, unstructured data, usability
Gary Pretty
Technical Program Manager at Microsoft
ai, air traffic control, alon bochman, analytics, anand raman, andrew clear, api, applied ai, ask the experts: build intelligent applications infused with world-class ai | atebrk220, atebrk220, automation, ayşegül yönet, azure, azure applied ai, azure cognitive services, azure machine learning, breakout session, brk220, build, build intelligent applications infused with world-class ai | brk220, business, c1x9, chatbot, clinical trial, cnv, connection zone, context awareness, cortana, data model, dewain robinson, disease, electronic health record, elena neroslavskaya, end user, eric boyd, erin dormier, file format, gary pretty, gpt-3, hayden holcomb, health care, kimverly garcia, leak detection, learning, leverage (finance), library, machine learning, medical history, metadata, microsoft, microsoft account, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, microsoft outlook, microsoft store, mobile app, msft build, msft build 2021, occupational safety and health, openai, page layout, phani mutyala, project jupyter, pytorch, sanitization (classified information), sharepoint, skype, speech recognition, speech synthesis, technical support, text messaging, text mining, time series, transcription (linguistics), twitter, unstructured data, usability
Eric Boyd
CVP AI Platform at Microsoft
ai, air traffic control, alon bochman, analytics, anand raman, andrew clear, api, applied ai, automation, ayşegül yönet, azure, azure applied ai, azure cognitive services, azure machine learning, breakout session, brk220, build, build intelligent applications infused with world-class ai | brk220, c1x9, clinical trial, cnv, dewain robinson, disease, electronic health record, elena neroslavskaya, eric boyd, erin dormier, file format, gary pretty, gpt-3, health care, leak detection, machine learning, medical history, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, msft build, msft build 2021, openai, page layout, phani mutyala, project jupyter, pytorch, speech recognition, speech synthesis, text mining, time series, transcription (linguistics), twitter, unstructured data, usability
Indu Bhushan
CEO at Ayushman Bharat: National Health Protection Mission
analytics, brics, child care, covid-19 pandemic, digital health, disease, electronic health record, government spending, health professional, health system, hospital, insurance, internet, medical history, medical record, millennium development goals, mobile phone, non-communicable disease, physician, policy, privacy, steam (service), telehealth, transparency (behavior), transport
Adrish Sannyasi
Healthcare and Life Sciences Solutions Lead at Google Cloud
api, artificial intelligence in healthcare, automation, conceptual model, data model, database, deep learning, diagnosis code, disease, electrocardiography, electronic health record, emergency department, health care, health care analytics, health data, machine learning, medical diagnosis, medical history, medical imaging, medical record, medicine, simulation, statistical classification, surgery
Kush Varshney
Distinguished Research Staff Member and Manager at IBM Thomas J. Watson Research Center
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Daby Sow
Director, Hybrid Cloud Services at IBM Research
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Kenney Ng
Principal Research Staff Member at IBM Research at IBM
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Daniel Gruen
Founder and Principal Consultant at Gruen Design Research LLC
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Amit Dhurandhar
Principal Research Staff Member at IBM TJ Watson
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Sanjoy Dey
Research Staff Membe at IBM
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Bum Chul Kwon
Research Scientist of Data Visualization at IBM T.J. Watson Research
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Prithwish Chakraboty
Research Staff Member, IBM Research at IBM
acm 2020, artificial intelligence, artificial intelligence in healthcare, computer science 2020, computer science event 2020, computer vision, conceptual model, convolutional neural network, correlation and dependence, data science, deep learning, electronic health record, evidence-based medicine, expert, explainable artificial intelligence, health informatics, hidden markov model, international classification of diseases, kdd2020, kdd2020 tutorials, machine learning, medical diagnosis, medical ethics, medical history, neural network, pharmacovigilance, physician burnout, regression analysis, regularization (mathematics), reliability engineering, sensitivity analysis, user-centered design, visualization (graphics)
Pietro Cicuta
Professor of Biological Physics at University of Cambridge
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Tong Xia
PhD student at Department of Computer Science and Technology, at the University of Cambridge, Cambridge, UK
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Dimitris Spathis
PhD candidate at University of Cambridge
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Apinan Hasthansombat
PhD Student at Department of Computer Science and Technology , University of Cambridge
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Jing Han
Research Associate at University of Cambridge
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Andreas Grammenous
Cyber Security Engineer at Nokia
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Jagmohan Chauhan
Assistant Professor at University of Southampton
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Chloe Brown
Spring Common Academy at SEN Teaching Assistant
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Cecilia Mascolo
Professor at University of Cambridge
android (operating system), association for computing machinery, binary classification, computer science 2020, covid-19 pandemic, covid-19 testing, crowdsourcing, deep learning, deep learning 2020, encryption, end-to-end encryption, health day at kdd2020, internet privacy, ios, kdd2020, machine learning, machine learning 2020, medical history, medical ultrasound, mobile phone, noise, principal component analysis, root mean square, server (computing), severe acute respiratory syndrome coronavirus 2, signal, standard deviation, stethoscope, web application, white noise, world wide web
Phyllis Thangaraj
Resident Physician at Yale New Haven Hospital
architecture, attention, child, clinic, columbia university, decision-making, deep learning, demography, evolution, feedback, groupon, health, hospital, information, knowledge, learning, medical history, microsoft windows, online machine learning, patient, prediction, resource, risk, user interface, visualization (graphics)
Tony Sun
PhD Student at Columbia University in the City of New York
architecture, attention, child, clinic, columbia university, decision-making, deep learning, demography, evolution, feedback, groupon, health, hospital, information, knowledge, learning, medical history, microsoft windows, online machine learning, patient, prediction, resource, risk, user interface, visualization (graphics)
Shreyas Bhave
Software Engineering Intern at Counsyl
architecture, attention, child, clinic, columbia university, decision-making, deep learning, demography, evolution, feedback, groupon, health, hospital, information, knowledge, learning, medical history, microsoft windows, online machine learning, patient, prediction, resource, risk, user interface, visualization (graphics)
Oliver Bear Don't Walk IV
PHD Student at Columbia University Graduate School of Arts and Sciences
architecture, attention, child, clinic, columbia university, decision-making, deep learning, demography, evolution, feedback, groupon, health, hospital, information, knowledge, learning, medical history, microsoft windows, online machine learning, patient, prediction, resource, risk, user interface, visualization (graphics)
Amelia Averitt
Manager, Clinical Informatics at Regeneron Pharmaceuticals
architecture, attention, child, clinic, columbia university, decision-making, deep learning, demography, evolution, feedback, groupon, health, hospital, information, knowledge, learning, medical history, microsoft windows, online machine learning, patient, prediction, resource, risk, user interface, visualization (graphics)
Elliot Mitchell
Graduate Research Assistant at Columbia University Irving Medical Center
architecture, attention, child, clinic, columbia university, decision-making, deep learning, demography, evolution, feedback, groupon, health, hospital, information, knowledge, learning, medical history, microsoft windows, online machine learning, patient, prediction, resource, risk, user interface, visualization (graphics)
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