6 Rhetorical Analysis: “Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection”

Rhetorical Analysis: “Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection”
11 July 2021
Rhetorical Analysis: “Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection”
Youxhian Zhu, Xiaohui Liang, John A. Batsis, and Robert M. Roth’s article under the title “Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection” critically analyze dementia health condition. The article aims to fully convince the medical practitioners of the need to identify the health condition in its early stages and deal with it before it worsens (Zhu et al., 2021). They explore the health impacts of the condition and its anticipated overall rate over the years, considering what is known about it. They talk of how the condition can be early detected and treated to reduce it from total transformation. Besides, they also discuss the various researched methods through which the condition can be detected, such as the Pitt corpus, which incorporates the cookie theft picture (CTP) (Zhu et al., 2021). CPT has remained the most effective method of researching dementia. Again they go ahead to study new ways to detect the condition and deal with it effectively. The authors who take an in-depth look at the language impairment part, which is the most evident sign of dementia, work to evaluate new ways to deal with it. In their article, the trio successfully convinces the readers of the need to identify the condition of dementia in its early stages and work on it to avoid future repercussions that might be incurable (Zhu et al., 2021). Through the employment of ethos, logos, and pathos in their piece, they employ academic tones and detached diction to show unbiasedness and give a common platform to the reader to see the consequences the issue has if not worked upon.
Ethos is the number one way through which the authors convince their readers. They perform a deep study about AD’s issue whereby they indulge in deep analytical research by themselves. Throughout the experiment, the authors do not rely on what other scholars have researched and found out, but they primarily rely on their own conducted research and get to their conclusion. That can be seen any time the authors talk of what they did. For instance, when talking about how they explored transfer learning with fine-tuning, the authors employ the words “we,” which is a clear indication that they are the ones who did that (Zhu et al., 2021). That is an excellent way to quickly convince the reader as they are confident of getting fast hand information which they can then compare to results from other scholars for a firm finding.
Besides their involvement in the research, the authors also use logical reasoning to prove that the topic is of the essence. Through logical reasoning, they also ensure that they show the author the need to develop a measure through which the AD condition can be combated at its initial stages. They open up their article by showing the reader what is known about the condition and that if well worked upon, it can be detected and combatted before getting to its severity. They incorporate the research works of other scholars who have had an in-depth look at the issue and build up their argument. For instance, their talk on language impairment as one of the significant consequences of the dementia condition is built on the research works of Fraser, Boschi, and Sajjadi. They found out that expressive language impairment is a condition that is rampant in AD and can be noted through reduced verbal fluency and increased lexical and semantical errors leading to abnormalities and semantic contents (Zhu et al., 2021). That is also backed by Luz, de la Fuente, & Albert (2018), who did similar research. The trio can deeply convince the readers of how the condition is damaging if not keenly dealt with.
On the other hand, the author also uses pathos to appeal to the reader on the need to act. The authors are crafty in that they have to hold on to the academic tone and hold to the detached diction even when addressing that issue. To fully convince the reader, the authors ensure that they employ many factual works in their writings. That is achieved by backing what they do with facts and findings from other scholars who have researched the same topic and got some findings. For instance, in their article, the authors mostly talk of Alzheimer’s Dementia Recognition through Spontaneous Speech (ADReSS), which was the first shared challenge that helped detect the AD condition (Zhu et al., 2021). They major on that and base their arguments on the standards set by the ADReSS. Through such measures, by the end of the research, the reader shall be convinced that there is a need to hold hands in detecting the issue in its early stages and dealing with it to avoid later repercussions. Also, their step-to-step procedure and evaluation metrics are suitable methods to convince the reader to buy the idea. That is because, through their research and findings, the reader will be in a position to see how serious the issue is and some of the methods that can be used to combat it.
Again, as Nasreen et al. (2021) argue, they also support the claim that those with Mild Cognitive impairment are also at a high chance of getting affected by the AD condition. Such reasoning is so good at drawing the reader’s attention and sinking them deep into the seriousness of the whole AD issue. Besides, the authors are so keen when carrying out their research that they work on the results and employ the required formulas to prove their metrics. They prove the metric of accuracy, precision, and FI score as well as recall which are provided by the ADReSS challenge to indicate their correctness (Zhu et al. 2021). That is also an excellent way to show logic in whatever they are doing now that it is to standard measures.
The authors use detached diction. This is because the authors are so calm when discussing the issue and do not employ any feelings in their talk. Instead, they hold firm to what other researchers have found about the topic and improve that without extraneous information. Taking a look at their research works, for instance, they mainly focus on their findings and do not get out of what they find unless they compare their results with those of other scholars. That makes it easy for the readers to get only facts about the study that the article articulates. That is an excellent method to convince readers that they know whatever they are addressing and do not build up their content on information they do not have.
Nevertheless, the author also ably passes his message and convinces the reader through the academic tone in their works. That is a tone that makes the topic relevant to the reader and only portrays professionalism. Throughout their article, the authors ensure that whatever they talk of is more professional, incorporating more medical terminologies, which aids in analyzing the topic. The authors talks of the AD issue directly without giving other unnecessary information. They carry out their research, tabulating their statics, and finally give precise findings on the specific ways they think would help identify the audio and visual impairments to detect the condition in its early stages. They avoid many generalized works and auxiliary verbs that add to word count but not the meaning of the work. That is vital because its precision enables the reader to quickly and understandingly go through it taking note of every point.
Therefore, it is clear from the analysis that Youxhian Zhu, Xiaohui Liang, John A. Batsis, and Robert M. Roth effectively deliver their message to the reader. However, their use of logical reasoning seems more appealing and convincing to the readers than any other method used through their research and incorporation of metric analysis standards, making the whole issue a crucial one and calls for quick action from those in the medical line. Through their quick move to action, the issue of dementia that the authors predict to be severe, affecting over 13.8 million people over 65 by 5050, will be combatted. Therefore even if the measures have not been widely taken, it will be hard to ignore the call to action by the trio as there is hope that what they talk about shall be put to action with time.
Zhu, Y., Liang, X., Batsis, J. A., & Roth, R. M. (2021). Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection. Frontiers in Computer Science, 3. Https://doi.org/10.3389/fcomp.2021.624683
Luz, S., de la Fuente, S., & Albert, P. (2018). A method for analysis of patient speech in dialogue for dementia detection. Arxiv preprint arxiv:1811.09919.
Nasreen, S., Rohanian, M., Hough, J., & Purver, M. (2021). Alzheimer’s dementia recognition from spontaneous speech using disfluency and interactional features. Front. Comput. Sci. 3: 640669. Doi: 10.3389/fcomp.