Speakers

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

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)

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

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

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

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

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

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)

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)

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)

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)

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)

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)

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)

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)

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

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

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

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

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

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

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

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

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

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)

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)

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)

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)

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)

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)