Prediction of Clinical Data Using Machine Learning Algorithms – a Review

EasyChair Preprint 8881

Abstract

Clinical decision-making in health care is even now inspired by data-driven computer forecasts or suggestions. A range of machine learning functions has recently been shown in clinical works, particularly for result prediction patterns spanning from humanity to stroke. We investigate the state of the art in relevant subjects such as data point treatment, interpretation, and simulation assessment in the framework of outcome prediction models improved utilizing data as automated health data. We also look at the flaws in widely used modeling assumptions and offer suggestions for further research.

Keyphrases: clinical data, health care, machine learning, prediction

@booklet{EasyChair:8881,
  author    = {S Veena and C Lakshmi Kara Gupta and D Sumanth Reddy and K.A Uday Kiran},
  title     = {Prediction of Clinical Data Using Machine Learning Algorithms – a Review},
  howpublished = {EasyChair Preprint 8881},
  year      = {EasyChair, 2022}}