Keyword Connections

supervised machine learning

Journals

4

1 Nanoscale

2 Studies in health technology and informatics

3 Journal of the American Medical Informatics Association : JAMIA

4 healthcare informatics research

Research Groups

0

No Research Group Connected

Bibliographies

17

1 Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

2 Graphene-based wearable sensors.

3 Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis.

4 Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

5 Prediction of turkish super league match results using supervised machine learning techniques

6 Finding Possible Precursors for the 2015 Cotopaxi Volcano Eruption Using Unsupervised Machine Learning Techniques

7 Selective encryption on ECG data in body sensor network based on supervised machine learning

8 BotHook: A Supervised Machine Learning Approach for Botnet Detection Using DNS Query Data

9 Predicting likelihood of psychological disorders in PlayerUnknown's Battlegrounds (PUBG) players from Asian countries using supervised machine learning.

10 Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach.

11 A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

12 What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach

13 Internal short circuit detection in Li-ion batteries using supervised machine learning.

14 A demonstration of unsupervised machine learning in species delimitation.

15 AN EARLY PREDICTION AND DIAGNOSIS OF SEPSIS IN INTENSIVE CARE UNITS: AN UNSUPERVİSED MACHINE LEARNING MODEL

16 Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations

17 The application of supervised machine learning techniques for multivariate modelling of gas component viscosity: A comparative study