Speakers

adverse event, ai, ai in healthcare, ai world, analytics, artificial intelligence, artificial intelligence in healthcare, biostatistics, causality, clinical trial, cohort study, communication channel, correlation and dependence, courant institute of mathematical sciences, decision-making, demography, electronic health record, expert system, furosemide, health care, health care quality, heart failure, hospital, hospital readmission, intelligence quotient, leadership, logistic regression, machine learning, medication, occam's razor, optum, organization, overfitting, patient, point of care, prediction, predictive analytics, randomized controlled trial, regression analysis, research, risk, startup company, time, understanding

big data, blood glucose monitoring, blood sugar level, chronic condition, computer science, digital health, disruptive innovation, electronic health record, emerging technologies, epidemiology, food and drug administration, health care, health care reform, health system, hospital readmission, machine learning, medical imaging, mosquito-borne disease, personalization, public health, rofecoxib, strategies and technologies, type 2 diabetes, zika fever

big data, blood glucose monitoring, blood sugar level, chronic condition, computer science, digital health, disruptive innovation, electronic health record, emerging technologies, epidemiology, food and drug administration, health care, health care reform, health system, hospital readmission, machine learning, medical imaging, mosquito-borne disease, personalization, public health, rofecoxib, strategies and technologies, type 2 diabetes, zika fever

big data, blood glucose monitoring, blood sugar level, chronic condition, computer science, digital health, disruptive innovation, electronic health record, emerging technologies, epidemiology, food and drug administration, health care, health care reform, health system, hospital readmission, machine learning, medical imaging, mosquito-borne disease, personalization, public health, rofecoxib, strategies and technologies, type 2 diabetes, zika fever

accuracy and precision, analytics, belief, big data, blood glucose monitoring, blood sugar level, cancer, causal inference, causality, chronic condition, computer science, decision-making, digital health, disruptive innovation, electronic health record, emerging technologies, epidemiology, evidence-based medicine, expected value, food and drug administration, hard problem of consciousness, health care, health care reform, health system, hospital medicine, hospital readmission, hypothesis, inference, international system of units, loss function, machine learning, medical imaging, mosquito-borne disease, personalization, predictive modelling, probability, public health, regression analysis, research, rofecoxib, science, statistics, strategies and technologies, trust (social science), type 2 diabetes, zika fever

21st century cures act, aaai, aaai 2020, aaai-20, ai, ai in practice, ai research, anemia, artificial intelligence, bgi group, big data, biomarker, blood glucose monitoring, blood in stool, blood sugar level, caregiver, chronic condition, clinical trial, complete blood count, computer science, deep learning, deep learning research, dexcom, diabetes management, diabetic retinopathy, digital health, disruptive innovation, donald berwick, electronic health record, emergency department, emerging technologies, epic systems, epidemiology, fee-for-service, food and drug administration, gene, general data protection regulation, genetics, genome project, glycated hemoglobin, health care, health care in the united states, health care reform, health data, health informatics, health information technology for economic and clinical health act, health system, hospital readmission, institute, invited talk, machine learning, mammography, medicaid, medical imaging, medical record, medicare (united states), medicare advantage, milken, mosquito-borne disease, national health service, pay for performance (healthcare), personalization, pharmaceutical industry, phenotype, primary care, primary care physician, public health, radiology, retinopathy, rofecoxib, strategies and technologies, type 2 diabetes, value driven, vivian lee, vivian s.lee, wolbachia, zika fever

ageing, ai, ai in mumbai, analytics, artificial intelligence, artificialintelligence, automation, big data, bigdata, business, childbirth, chronic condition, code, coding, ct scan, data, datascience, deeplearning, entrepreneur, fintech, fintechs, future, futureofwork, going global, health, health care, health system, hospital, hospital readmission, india, information technology, infrastructure, innovation, intensive care medicine, intensive care unit, iot, machinelearning, ml, mumbai, mumbai ai, nursing, personalized medicine, prediction, prescriptive analytics, programmer, programming, python, radiology, robotics, science, startup, startups, surgery, tech, tech enthusiast, technology, telehealth, therapy, transitional care, womenintech

accuracy and precision, acm 2020, algorithmic bias, artificial intelligence 2020, artificial intelligence in healthcare, artificial neural network, assessment of kidney function, association for computing machinery, asthma, automation bias, bias, bias of an estimator, bronchitis, chronic condition, chronic obstructive pulmonary disease, clinical psychology, clinical trial, comorbidity, computer science, computer science event 2020, dialysis, disparate impact, electronic health record, emergency department, entropy (information theory), fairness (machine learning), generalized entropy index, health economics, health system, hospital readmission, income inequality metrics, information theory, intensive care unit, k-nearest neighbors algorithm, logistic regression, machine learning, mental health, psychological evaluation, radiology, random forest, respiratory disease, robotics, sampling (statistics), sensitivity and specificity, statistical classification, statistics, supervised learning, therapy, wheeze

acm 2020, artificial intelligence 2020, assessment of kidney function, association for computing machinery, bias, chronic condition, clinical psychology, comorbidity, computer science, computer science event 2020, disparate impact, electronic health record, emergency department, entropy (information theory), fairness (machine learning), generalized entropy index, health economics, hospital readmission, income inequality metrics, information theory, intensive care unit, k-nearest neighbors algorithm, mental health, psychological evaluation, sampling (statistics), sensitivity and specificity, statistical classification, statistics, therapy

acm 2020, artificial intelligence 2020, assessment of kidney function, association for computing machinery, bias, big data, chronic condition, clearbanc, clinical psychology, comorbidity, computer science, computer science event 2020, crowdsourcing, disparate impact, electronic health record, emergency department, emerging technologies, entrepreneurship, entropy (information theory), ethics of artificial intelligence, facebook, fairness (machine learning), gender, generalized entropy index, health economics, hospital readmission, immigration, income inequality metrics, information theory, intensive care unit, k-nearest neighbors algorithm, leadership, medicine, mental health, mentorship, neuromorphic engineering, nvidia, privacy, psychological evaluation, research, research and development, robotics, sampling (statistics), sensitivity and specificity, social support, statistical classification, statistics, technology, therapy, transparency (behavior), venture capital, venturebeat

acm 2020, artificial intelligence 2020, assessment of kidney function, association for computing machinery, bias, chronic condition, clinical psychology, comorbidity, computer science, computer science event 2020, disparate impact, electronic health record, emergency department, entropy (information theory), fairness (machine learning), generalized entropy index, health economics, hospital readmission, income inequality metrics, information theory, intensive care unit, k-nearest neighbors algorithm, mental health, psychological evaluation, sampling (statistics), sensitivity and specificity, statistical classification, statistics, therapy

artificial intelligence 2020, data science 2020, acm 2020, artificial intelligence 2020, artificial neural network, assessment of kidney function, association for computing machinery, atom, atomic nucleus, autoencoder, bias, boltzmann distribution, boolean satisfiability problem, chronic condition, clinical psychology, cluster analysis, comorbidity, complexity class, computational complexity theory, computer science, computer science event 2020, conceptual model, copernican heliocentrism, data science, decision problem, deep learning, disparate impact, electrical resistivity and conductivity, electron, electronic health record, emergency department, entropy, entropy (information theory), expert, fairness (machine learning), generalized entropy index, geocentric model, hall effect, health economics, heat, heliocentrism, history of physics, hospital readmission, hydrogen atom, income inequality metrics, information theory, intensive care unit, k-nearest neighbors algorithm, kalman filter, kdd2020 tutorials, kepler's laws of planetary motion, light, machine learning, mechanics, mental health, neural network, newton's law of universal gravitation, nondeterministic turing machine, orbit, p (complexity), physics, psychological evaluation, quantum entanglement, quantum field theory, quantum hall effect, quantum mechanics, quantum state, regularization (mathematics), sampling (statistics), second law of thermodynamics, sensitivity and specificity, statistical classification, statistical mechanics, statistics, supervised learning, therapy, time complexity, unsupervised learning, wave, wave function

adherence (medicine), amazon elastic compute cloud, caregiver, clinical trial, cloud computing, computer vision, coronavirus disease 2019, dave vellante, decision-making, deep learning, diabetes, digital health, digitization, disease, electronic health record, encryption, expert, forecasting, health care, health informatics, health system, health technology, hospital readmission, interoperability, john furrier, machine learning, medical diagnosis, medical history, medical record, neural network, observation, optical character recognition, pay for performance (healthcare), point of care, population health, prediction, predictive analytics, privacy, radiology, risk, science, siliconangle, siliconangle inc, siliconangle media inc, telehealth, thecube, therapy, use case, wearable technology, wikibon

attention, breathing, communication, deep learning, electronic health record, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical record, neural network, patient, pediatrics, point of care, positive and negative predictive values, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, truth

attention, breathing, communication, deep learning, electronic health record, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical record, neural network, patient, pediatrics, point of care, positive and negative predictive values, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, truth

attention, breathing, communication, deep learning, electronic health record, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical record, neural network, patient, pediatrics, point of care, positive and negative predictive values, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, truth

analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics

analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics

analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics

analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics

attention, bouncer (doorman), coffee, data, disease, electronic health record, experiment, expert, flight, glitch, health, hospital, hospital readmission, immortality, information, intensive care unit, international classification of diseases, interpolation, knowledge, knowledge transfer, long short-term memory, losartan, memory, mercury (element), mortality rate, motel, mother, motivation, narrative, patient, prediction, pressure, probability, risk, salt lake city, short-term memory, softball, statistical significance, suffolk, tennessee, text messaging

attention, bouncer (doorman), coffee, disease, electronic health record, experiment, expert, glitch, health, hospital, hospital readmission, immortality, intensive care unit, international classification of diseases, losartan, mortality rate, motivation, narrative, patient, prediction, probability, risk, softball, statistical significance, text messaging

attention, bouncer (doorman), coffee, data, disease, electronic health record, experiment, expert, flight, glitch, health, hospital, hospital readmission, immortality, information, intensive care unit, international classification of diseases, interpolation, knowledge, knowledge transfer, long short-term memory, losartan, memory, mercury (element), mortality rate, motel, mother, motivation, narrative, patient, prediction, pressure, probability, risk, salt lake city, short-term memory, softball, statistical significance, suffolk, tennessee, text messaging

attention, bouncer (doorman), coffee, disease, electronic health record, experiment, expert, glitch, health, hospital, hospital readmission, immortality, intensive care unit, international classification of diseases, losartan, mortality rate, motivation, narrative, patient, prediction, probability, risk, softball, statistical significance, text messaging

analytics, bioinformatics, comorbidity, computer science, data analysis, data visualization , data warehouse, decision tree, educational technology, emergency department, github, health care, health informatics, hospital readmission, informatics, kaiser permanente, learning, logistic regression, machine learning, medicine, mentorship, predictive modelling, regression analysis, research, rstats, teacher

allison oelschlaeger, apple inc., authorization, best practice, big data, big data in precision health, blue button, business model, cancer, centers for medicare & medicaid services, centers for medicare and medicaid services, clinical trial, cms, communication protocol, contract, economics, educational technology, expert, facebook, google search, health care, health care quality, health informatics, health insurance, health insurance marketplace, health insurance portability and accountability act, health policy, health system, hhs, hospital readmission, human eye, icloud, internet, interoperability, lawyer, machine learning, medicaid, medicare (united states), mobile app, national institutes of health, office of the national coordinator for health information technology, patient, personal health record, precision health, privacy, privacy law, research, risk, science, stanford, stanford medicine, terms of service, u.s. department of health and human services, web portal

adherence (medicine), ageing, agent orange, barber, behavior, big data, big data in precision health, cancer, chronic condition, community, concept, earned income tax credit, economic inequality, electronic health record, facebook, health, health care, health system, hospital readmission, idea, kirsten bibbins-domingo, maternal death, mind, mortality rate, obesity, pain management, pay for performance (healthcare), population health, poverty, precision health, prostate cancer, public health, quality of life, research, risk, scientific method, screening (medicine), sexually transmitted infection, social determinants, social determinants of health, social inequality, social networking service, societal racism, stanford, stanford medicine, sudden infant death syndrome, survey methodology, system, universal health care, virtual reality, walkability

agenda-setting theory, amazon (company), apple inc., artificial general intelligence, artificial intelligence in healthcare, augmented reality, belief, business insider, chronic condition, citizen journalism, code, computer programming, conference, congress, deep learning, digital media, electronic health record, ethics, europe, facebook, facial recognition system, filter bubble, fireside chat, freedom of the press, future, hospital readmission, humanity, human–computer interaction, hypertension, joseph sirosh, journalism, leadership, machine learning, machine translation, mass media, media, medical record, microsoft, mobile app, neural network, new media, news, news feed, news media, newspaper, people, preventive healthcare, privacy, smartphone, software as a service, software development, speech recognition, subscription business model, tech, technology, the new york times, transparency (behavior), twitter, voice user interface, wearedevelopers, wearedevs, website, world wide web

ai, android (operating system), apple inc., artificial general intelligence, artificial intelligence, artificial intelligence in healthcare, augmented reality, azure, bot framework, business insider, chronic condition, cloud computing, code, cognitive searches, computer programming, conference, congress, cortana, cross-platform software, database, deep learning, electronic health record, europe, field-programmable gate array, fireside chat, future, graphics processing unit, hcl domino, hospital readmission, human–computer interaction, hypertension, internet of things, ios, joseph sirosh, kubernetes , machine learning, machine translation, medical record, microservices, microsoft, microsoft azure, microsoft excel, microsoft sql server, ml, mobile app, neural network, operation mongoose, optical character recognition, people, preventive healthcare, privacy, representational state transfer, search engine indexing, smartphone, software as a service, software development, speech recognition, tech, technology, tensorflow, text mining, voice user interface, wearedevelopers, wearedevs

5g, advanced micro devices, ai, amazon (company), amazon fargate, amazon redshift, amazon sagemaker studio, amazon transcribe medical, amazon web services, american medical association, andy jassy ketnote, artificial intelligence, aws, aws 2019 event, aws cloud, aws keynote, aws launch, brent shafer, caregiver, cerner, cloud, cloud computing, computer data storage, computer network, david solomon, derivative (finance), dr matt woods, electronic health record, financial technology, goldman sachs, graphics processing unit, hans vestberg, hardware acceleration, health, health care, health informatics, health professional, health system, healthcare, hospital, hospital readmission, hypervisor, innovation, intel, internet of things, machine learning, mastercard, medical care, medical data, medical history, ml, neurology, patient, patient data, physician, predictive modelling, presto (sql query engine), reinvent 2019, risk, software as a service, solid-state drive, spinal cord injury, stroke, virtualization