User Perspective on Usages and Privacy of eHealth Systems in Bangladesh: A Dhaka based Survey

Ray, Biplob; Saha, Kamal Kumar; Biswas, Milon; Rahman, M.

doi:10.1109/csde50874.2020.9411593

Cited by 10 publications

(2 citation statements)

References 15 publications

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“…DL [1][2][3][4][5][6], blockchain technology [7][8][9][10][11][12][13][14][15][16], along with big data technology [17][18][19][20][21][22][23][24][25] and highperformance computing [26] has created new opportunities for revealing, quantifying, and understanding data-intensive workflows in agricultural operating contexts. Among other definitions, DL is defined as the field of science that empowers ML and it is also used in more and more scientific fields year after year, such as bioinformatics [27][28][29][30], biochemistry [31], medicine [32], meteorology [33], economics [34], robotics [35][36][37][38], aquaculture [39], food safety [40][41][42][43] and climatology [44].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning in Agriculture: A Review

Bharman

Saad

Khan

et al. 2022

AJRCoS

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Deep learning (DL) is a kind of sophisticated data analysis and image processing technology, with good results and great potential. DL has been applied to many different fields, and it is also being applied to the agricultural field. This paper presents a wide-ranging review of research with regards to how DL is applied to agriculture. The analyzed works were categorized in yield prediction, weed detection, and disease detection. The articles presented here illustrate the benefits of DL to agriculture through filtering and categorization. Farm management systems are turning into real-time AI-enabled applications that give in-depth insights and suggestions for farmer's decision support by using the proper utilization of DL and sensor data.

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Section: Introductionmentioning

confidence: 99%

Deep Learning in Agriculture: A Review

Bharman

Saad

Khan

et al. 2022

AJRCoS

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“…When people get older, they develop a variety of medical problems, including high blood pressure, diabetes, heart failure, arthritis, cancer, joint pains, tuberculosis, and kidney infections, to name a few. [1], [2] An elderly citizen's health should be checked on a regular basis. It is very difficult to assess an elderly patient's condition without even visiting a doctor.…”

Section: Introductionmentioning

confidence: 99%

A Smartphone Based Application for Medical Assistance of Elderly Patients

Biswas¹,

Rahman²,

Ahmed³

et al. 2022

IJRIAS

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The importance of a routine health check-up for elderly patients, as well as the documentation of that check- up, cannot be overstated. Maintaining adequate documentation for a patient by himself or by his attendance, on the other hand, is extremely difficult. This paper primarily focuses on developing a framework that includes a smartphone application and introduces a real-time remote monitoring system for basic medical treatment of an elderly patient. It can keep track of a patient’s emergency contacts. Using the SMS manager API, emergency contacts can receive messages with the patient’s daily health alerts. Furthermore, the system will keep track of the patient’s symptoms, and if anything goes wrong for a continuous period of time, the system will automatically send out reminders to schedule medical appointments. For medical appointments, a patient may be able to search for nearest doctors and schedule an appointment for him via the system. Here, Google map technology is used to search nearby doctors. A reminder is introduced in this system where all of the activities for a patient are notified on a regular basis.

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