@Abhishek4273 4 years ago
Day 191/300 - Experimented with blood cell type classification using monk: https://github.com/Tessellate-Imaging/monk_v1/blob/master/tutorials/Blood%20Cell%20Type%20Classification:%20Understanding%20the%20impact%20of%20depth%20in%20network.ipynb Data credits: https://www.kaggle.com/paultimothymooney/blood-cells #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #medicalimaging #blood #ArtificialIntelligence #DeepLearning #MachineLearning #OpenSource https://t.co/yKoHihkkP1
@KirkDBorne 5 years ago
Google is Using 46 Billion Data Points to Predict the Medical Outcomes of Hospital Patients: https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/ #Healthcare #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #HealthTech #EHR https://t.co/85UYuXlPI3
@AcadayLabs 6 years ago
New Era, new Ethics : Proof Work aims to decentralize #Medical data by using the blockchain http://goo.gl/alerts/YZqtL #DataScience #AI #ML #DL #InternetOfThings #ArtificialIntelligence #MachineLearning #DeepLearning #BlockChain #Technology #data #Blockchain #MEDTECH #MedtechRising