Stratification of, albeit Artificial Intelligent (AI) Driven, High-Risk Elderly Outpatients for priority house call visits - a framework to transform healthcare services from reactive to preventive

Autor: Chandrasekar Vuppalapati, Anitha Ilapakurti, Santosh Kedari, Jayashankar Vuppalapati

Publikováno v: MATEC Web of Conferences, Vol 255, p 04002 (2019)

House calls have nostalgic view and have practiced decades ago when the doctor arrived at the patient's door carrying a big black bag. House calls could prove to be a better way of treating very sick, elderly patients while they can still live at hom

Externí odkaz: https://doaj.org/article/a6206d523d7944429ce93aa2265ec8dc

Data Engineering Techniques for Artificial Intelligence and Advanced Analytics

Autor: Chandrasekar Vuppalapati

Publikováno v: Artificial Intelligence and Advanced Analytics for Food Security ISBN: 9781003323099

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f3793ebbdbb6e1ea6dff259081f6ec34
https://doi.org/10.1201/9781003323099-3

Food Security Drivers and Key Signal Pattern Analysis

Autor: Chandrasekar Vuppalapati

Publikováno v: Artificial Intelligence and Advanced Analytics for Food Security ISBN: 9781003323099

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11c6520693f1f90268ad2e57ef5b2946
https://doi.org/10.1201/9781003323099-6

Climate Change and Agricultural Yield Analytics

Autor: Chandrasekar Vuppalapati

Publikováno v: Artificial Intelligence and Advanced Analytics for Food Security ISBN: 9781003323099

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d821d5936047f87116238e3633ac998
https://doi.org/10.1201/9781003323099-9

Food Security

Autor: Chandrasekar Vuppalapati

Publikováno v: Artificial Intelligence and Advanced Analytics for Food Security ISBN: 9781003323099
International Series in Operations Research & Management Science ISBN: 9783031087424

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a2ce4dcd013938d3fdcb502ab98462e
https://doi.org/10.1201/9781003323099-5