Medical Technology

Current search: machinelearning data text

@stew_ilondanga 1 year ago

Another application of big data in healthcare is using medicare fraud detection. #gainwithstewartilondanga #AR #AI #MR #XR #NFT #Web3 #SaaS #AIoT #MLOps #Space #DevOps #fintech #Metaverse #VirtualReality #SlackFrontiers #CyberSecurity #MachineLearning #PodcastAndChill #PS5 #Xbox

@stew_ilondanga 1 year ago

Another application of big data in healthcare is the use of personalized medicine. #gainwithstewartilondanga #AR #AI #MR #XR #NFT #Web3 #SaaS #AIoT #MLOps #Space #DevOps #fintech #Metaverse #VirtualReality #SlackFrontiers #CyberSecurity #MachineLearning #PodcastAndChill #PS5 #HBO

@afranklynmiller 3 years ago

Can you combine data analytics, visual 3d and Open Sim and have an interest in the future of sports medicine prescription of exercise intervention ? Can you also code ? Get in contact if that’s you #machinelearning #data #sportsmedicine

@AlbertJiaoMD 3 years ago

would like to jump into the world of data science/ML in radiology, but unsure where to start. have undergrad degree in math with multiple CS courses. Any suggestions for resources? #radiology #residency #medicine #MachineLearning #ArtificialIntelligence

@ravi_b_parikh 3 years ago

Lastly, this was a huge lift that took operations, research, and clinician leadership by @lynn_schuchter Larry Shulman@mdraugelis Nina O'Connor & others. Fuller data to come in next few months. But I feel a LOT more hopeful abt #AI/#machinelearning in medicine after this effort

@udacity 3 years ago

What are key skills required to apply #AI and #MachineLearning in #healthcare? - Curiosity & the ability to clean the data - Combine the knowledge of data with foundational info about healthcare & medicine - Analyzing the existing data - Domain knowledge #UdacityAIforHealthcare

@raamana_ 4 years ago

tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!

@BrandonPetersMD 4 years ago

Artificial intelligence and machine learning as applied to medicine and health data is often as much a blackbox as it sounds. #ArtificialIntelligence #MachineLearning #HealthTech #BigData #Biometrics #healthcare #futurism #sleep #WearableTech #wearables #medicine #medtwitter

@INM7_ISN 4 years ago

The great irony of #MachineLearning for medical applications: On one hand, everything is "data-driven", "makes no assumptions" etc. On the other, diagnostic labels are taken as ground truth.

@atulbutte 4 years ago

Peter Chang: Let's get medical students to gain research skills in #AI and #machinelearning, to learn the specifics of applying these tools properly to medical data #UCaiBio

@SwearyStats 4 years ago

On a panel at #CogX2019 today discussing AI/ML in health and a quick mention about our synthetic medical data project. Come along and chant in Binary (Assembly also fine) and ask questions :D #AI #MachineLearning #DataScience @DataLabScotland

@raamana_ 5 years ago

Random tip: if a PI publishes over 25 papers/year (more than 2 papers/month), in a heavily data- and optimization-driven research e.g. #MachineLearning in medicine, without releasing their codebase or using public libraries, be HIGHLY skeptical about their results. #phdchat

@LauraBBalzer 5 years ago

Last ? from #DataScience 4 Public Health course- Who would you trust: a blackbox machine learning algorithm with 100% CV-prediction accuracy (AUROC=1) built with representative data OR a human medical provider (accuracy<100%; AUROC<1)? #epiTwitter #MachineLearning #SuperLearner

@DataNaija 7 years ago

Let your data speak for itself. #MachineLearning #BigData #Analytics #HealthInformatics

@bahanbug 8 years ago

The giant takes on the ambitious goal of complex health data analytics for precision medicine: #SAP #machinelearning #IoT