Machine learning to deep learning: Artificially intelligent approaches toward precision in public health
Machine learning is in fact an application of Artificial Intelligence (AI) . It encompasses the use of algorithms in understanding the available information, i.e., data and analyzing it to arrive at an “intelligent” conclusion. Applications of AI in public health have already brought about a paradig...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2021-01-01
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| Series: | Journal of Public Health and Primary Care |
| Subjects: | |
| Online Access: | http://www.jphpc.org/article.asp?issn=2772-3666;year=2021;volume=2;issue=2;spage=25;epage=27;aulast=Lahiri |
| _version_ | 1797773763524165632 |
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| author | Arista Lahiri Sweety Suman Jha |
| author_facet | Arista Lahiri Sweety Suman Jha |
| author_sort | Arista Lahiri |
| collection | DOAJ |
| description | Machine learning is in fact an application of Artificial Intelligence (AI) . It encompasses the use of algorithms in understanding the available information, i.e., data and analyzing it to arrive at an “intelligent” conclusion. Applications of AI in public health have already brought about a paradigm shift in the thinking for the provision of health care. With the global goal of universal health care, AI systems in public health can be considered very important in the resource-poor underserved areas to make a systematic arrangement for health-care delivery. The primary health care is cardinal to achieve universal health coverage. The AI systems can help the resource-contained and the grass-root level settings with remote access, algorithm-driven diagnostic aids, notification regarding emerging threats, and automated analysis of the health data in defined regions. |
| first_indexed | 2024-03-12T22:11:09Z |
| format | Article |
| id | doaj.art-a5edcc421df142b0a8953f68d3918109 |
| institution | Directory Open Access Journal |
| issn | 2772-3666 2772-3674 |
| language | English |
| last_indexed | 2024-03-12T22:11:09Z |
| publishDate | 2021-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Public Health and Primary Care |
| spelling | doaj.art-a5edcc421df142b0a8953f68d39181092023-07-23T11:50:22ZengWolters Kluwer Medknow PublicationsJournal of Public Health and Primary Care2772-36662772-36742021-01-0122252710.4103/jphpc.jphpc_6_20Machine learning to deep learning: Artificially intelligent approaches toward precision in public healthArista LahiriSweety Suman JhaMachine learning is in fact an application of Artificial Intelligence (AI) . It encompasses the use of algorithms in understanding the available information, i.e., data and analyzing it to arrive at an “intelligent” conclusion. Applications of AI in public health have already brought about a paradigm shift in the thinking for the provision of health care. With the global goal of universal health care, AI systems in public health can be considered very important in the resource-poor underserved areas to make a systematic arrangement for health-care delivery. The primary health care is cardinal to achieve universal health coverage. The AI systems can help the resource-contained and the grass-root level settings with remote access, algorithm-driven diagnostic aids, notification regarding emerging threats, and automated analysis of the health data in defined regions.http://www.jphpc.org/article.asp?issn=2772-3666;year=2021;volume=2;issue=2;spage=25;epage=27;aulast=Lahiriartificial intelligencedigital healthmachine learningprimary carepublic health |
| spellingShingle | Arista Lahiri Sweety Suman Jha Machine learning to deep learning: Artificially intelligent approaches toward precision in public health Journal of Public Health and Primary Care artificial intelligence digital health machine learning primary care public health |
| title | Machine learning to deep learning: Artificially intelligent approaches toward precision in public health |
| title_full | Machine learning to deep learning: Artificially intelligent approaches toward precision in public health |
| title_fullStr | Machine learning to deep learning: Artificially intelligent approaches toward precision in public health |
| title_full_unstemmed | Machine learning to deep learning: Artificially intelligent approaches toward precision in public health |
| title_short | Machine learning to deep learning: Artificially intelligent approaches toward precision in public health |
| title_sort | machine learning to deep learning artificially intelligent approaches toward precision in public health |
| topic | artificial intelligence digital health machine learning primary care public health |
| url | http://www.jphpc.org/article.asp?issn=2772-3666;year=2021;volume=2;issue=2;spage=25;epage=27;aulast=Lahiri |
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