Literature DB >> 31939200

Deep Learning of Markov Model-Based Machines for Determination of Better Treatment Option Decisions for Infertile Women.

Arni S R Srinivasa Rao1,2,3, Michael P Diamond4.   

Abstract

In this technical article, we are proposing ideas, that we have been developing on how machine learning and deep learning techniques can potentially assist obstetricians/gynecologists in better clinical decision-making, using infertile women in their treatment options in combination with mathematical modeling in pregnant women as examples.

Entities:  

Keywords:  AI in medicine; Machine learning; State spaces

Mesh：

Year:  2020        PMID： 31939200     DOI： 10.1007/s43032-019-00082-9

Source DB:  PubMed          Journal:  Reprod Sci        ISSN： 1933-7191            Impact factor:   3.060


  3 in total

1.  Substituted quinazolones as anticonvulsants.

Authors:  V K Srivastava; B R Pandey; R C Gupta; J P Barthwal; K Kishore
Journal:  Indian J Physiol Pharmacol       Date:  1979 Oct-Dec

Review 2.  [The functional basis for forms of schizophrenia (based on data from foreign studies). 3].

Authors:  M S Rogovin
Journal:  Zh Nevropatol Psikhiatr Im S S Korsakova       Date:  1971

3.  Preventive treatment of alcoholism.

Authors:  M A Block
Journal:  Mod Treat       Date:  1966-05
  3 in total
  6 in total

1.  Application of Markov models to predict changes in nasal carriage of Staphylococcus aureus among industrial hog operations workers.

Authors:  Melissa G Edmondson; Christopher D Heaney; Meghan F Davis; Gurumurthy Ramachandran
Journal:  J Occup Environ Hyg       Date:  2022-02-22       Impact factor: 2.155

2.  Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.

Authors:  Arni S R Srinivasa Rao; Jose A Vazquez
Journal:  Infect Control Hosp Epidemiol       Date:  2020-03-03       Impact factor: 3.254

3.  Using artificial intelligence technology to fight COVID-19: a review.

Authors:  Yong Peng; Enbin Liu; Shanbi Peng; Qikun Chen; Dangjian Li; Dianpeng Lian
Journal:  Artif Intell Rev       Date:  2022-01-03       Impact factor: 9.588

Review 4.  COVID-19: National Pandemic Management Strategies and their Efficacies and Impacts on the Number of Secondary Cases and Prognosis: A Systematic Review.

Authors:  Hossein Hatami; Shohra Qaderi; Jaffer Shah; Ahmad Reza Rezaeian; Yeganeh Farsi; Faeze Alinasab; Farah Qaderi; Afifeh Khosravi; Narges Bazgir; Asghar Shah
Journal:  Int J Prev Med       Date:  2022-07-15

5.  Come What May, Digital Health Technologies Will Never Be Able to Predict the Emergence of Unknown Viruses and Microorganisms with any Degree of Certainty.

Authors:  Arni S R Srinivasa Rao; Steven G Krantz
Journal:  J Med Syst       Date:  2020-10-21       Impact factor: 4.460

Review 6.  Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review.

Authors:  Maleeha Naseem; Ramsha Akhund; Hajra Arshad; Muhammad Talal Ibrahim
Journal:  J Prim Care Community Health       Date:  2020 Jan-Dec
  6 in total

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