Search Engine Optimization: A Review

ALMUKHTAR, Firas; MAHMOODD, Nawzad; Kareem, Shahab Wahhab

doi:10.35784/acs-2021-07

Cited by 22 publications

(12 citation statements)

References 17 publications

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“…Another area where AI has the potential to transform healthcare is personalized medicine (Tariq et al, 2022) . AI can help develop personalized treatment plans based on a patient's genetic information, medical history, and other factors (Almukhtar et al, 2021) (Balamurugan et al, 2022). This can lead to better outcomes and reduce the risk of adverse reactions to medication (Samad et al, n.d.) .…”

Section: Personalized Medicinementioning

confidence: 99%

Artificial Intelligence in Health Sector of USA

Pendy¹

2023

JISS

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The article describes how AI has already made a significant impact in the health sector in the US, with many promising future applications. In medical imaging, for example, AI algorithms have been developed that can detect and classify anomalies with high accuracy rates, potentially reducing the need for unnecessary biopsies or surgeries. Personalized medicine is another area where AI is being used to analyze large amounts of patient data and provide tailored treatments. AI is also being used to improve the accuracy and efficiency of electronic health records (EHRs) by automatically detecting errors and inconsistencies. In drug discovery, AI algorithms can analyze large data sets and predict which compounds are likely to be effective in treating a particular disease, potentially reducing the time and cost of drug development. In the future, AI is expected to play an even greater role in precision medicine, enabling clinicians to develop customized treatment plans based on a patient's individual genetic and medical history. AI is also being developed for use in virtual assistants, which can provide patients with personalized health advice and reminders. Clinical decision support systems are another area where AI is expected to have a significant impact, helping clinicians to make more informed decisions by analyzing patient data and providing recommendations based on the latest research and best practices. Overall, the article suggests that AI has the potential to transform healthcare by improving patient outcomes, reducing costs, and increasing access to care. However, the article also acknowledges that there are challenges to be addressed, such as ensuring the accuracy and fairness of AI algorithms and addressing privacy concerns.

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Section: Personalized Medicinementioning

confidence: 99%

Artificial Intelligence in Health Sector of USA

Pendy¹

2023

JISS

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“…Rachel H T Yeong 1 , Christopher B Hodge 2,3 and Premkumar Gunasekaran 3 COVID-19 has presented an enormous burden to critical care services. Reductions in face-to-face consultations has impacted families' access to clinician contact and potentially encouraged the public to source information from the internet instead.…”

Section: Assessing the Impact Of Covid-19 On Australian Public Intere...mentioning

confidence: 99%

“…Given that Google remains the most used internet search engine globally, 2 Google Trends was chosen as a proxy for overall patterns of internet searching. Google Trends (https://trends.google.com) analyses how frequently a specific term is searched on Google (https:// www.google.com/).…”

Section: Assessing the Impact Of Covid-19 On Australian Public Intere...mentioning

confidence: 99%

Assessing the impact of COVID-19 on Australian public interest in critical care

Yeong,

Hodge,

Gunasekaran

2023

Anaesth Intensive Care

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“…Simply by entering the keyword, the search process will be carried out and the search engine will display several site links accompanied by a brief description. Many search engine applications are offered by certain sites on the internet, popul ar ones include google, yahoo, altavista and so on (Almukhtar et al, 2021).…”

Section: Searching Factorsmentioning

confidence: 99%

Utilization of the Internet as a Learning Resource; A Case Study of Students at State Senior High School 1 Tanjungpandan, Belitung Regency

Pratama,

Yuliarto,

Rinaldy

et al. 2023

IJMRA

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This study aims to determine the utilization of the internet as a learning resource. This type of research is descriptive quantitative. The population in this study were students at Tanjungpandan 1 Senior High School, Belitung Regency, totaling 238 students who were taken based on random sampling. The instrument used was a questionnaire which amounted to 27 items, and was divided into four factors, namely Browsing, Resourcing, Searching, Consulting and Communication. The data analysis technique uses descriptive statistics expressed in percentage form. The results showed that the utilization of the internet as a learning resource by students at Tanjungpandan 1 Senior High School, Belitung Regency was in the "very poor" category of 0.00% (0 students), "poor" 0.00% (0 students), "sufficient" 84.45% (201 students), "good" 15.55% (37 students), and "very good" 0.00% (0 students).

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Search Engine Optimization: A Review

Cited by 22 publications

References 17 publications

Artificial Intelligence in Health Sector of USA

Artificial Intelligence in Health Sector of USA

Assessing the impact of COVID-19 on Australian public interest in critical care

Utilization of the Internet as a Learning Resource; A Case Study of Students at State Senior High School 1 Tanjungpandan, Belitung Regency

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