Review on Machine Learning Algorithms for Weather Forecasting Issues

Machine leaning is a ground of recent research that officially focuses on the theory, performance, and properties of learning systems and algorithms. It is particularly cross disciplinary field building upon ideas from many different kinds of fields such as artificial intelligence, optimization theory, information theory, statistics, cognitive science, optimal control, and many other disciplines of science, engineering, and mathematics. Since implementation in a wide range of applications, machine learning has covered almost every scientific domain, which has brought great impact on the science and society. Machine learning techniques has been used on a variety of problems, including recommendation engines, recognition systems, informatics and data mining, and autonomous control systems. This research paper compared different machine algorithms for classification. Classification is used when the desired output is a discrete label

Mapping national information and communication technology (ICT) infrastructure to the requirements of potential digital health interventions in low- and middle-income countries

Background Digital health can support health care in low- and middle-income countries (LMICs) by overcoming problems of distance, poor infrastructure and the need to provide community practitioners with specialist support. We used five RESPIRE countries as exemplars (Bangladesh, India, Indonesia, Malaysia, Pakistan) to identify the digital health solutions that are valuable in their local setting, worked together with local clinicians and researchers to explore digital health policy, electricity/ICT infrastructure, and socio-cultural factors influencing users’ ability to access, adopt and utilise digital health. Methods We adopted the Joanna Briggs Institute’s scoping review protocol and followed the Cochrane Rapid Review method to accelerate the review process, using the Implementation and Operation of Mobile Health projects framework and The Extended Technology Acceptance Model of Mobile Telephony to categorise the results. We conducted the review in four stages: (1) establishing value, (2) identifying digital health policy, (3) searching for evidence of infrastructure, design, and end-user adoption, (4) local input to interpret relevance and adoption factors. We used open-source national/international statistics such as the World Health Organization, International Telecommunication Union, Groupe Speciale Mobile, and local news/articles/government statistics to scope the current status, and systematically searched five databases for locally relevant exemplars. Results We found 118 studies (2015-2021) and 114 supplementary online news articles and national statistics. Digital health policy was available in all countries, but scarce skilled labour, lack of legislation/interoperability support, and interrupted electricity and internet services were limitations. Older patients, women and those living in rural areas were least likely to have access to ICT infrastructure. Renewable energy has potential in enabling digital health care. Low usage mobile data and voice service packages are relatively affordable options for mHealth in the five countries. Conclusions Effective implementation of digital health technologies requires a supportive policy, stable electricity infrastructures, affordable mobile internet service, and good understanding of the socio-economic context in order to tailor the intervention such that it functional, accessible, feasible, user-friendly and trusted by the target users. We suggest a checklist of contextual factors that developers of digital health initiatives in LMICs should consider at an early stage in the development process

Implementing a connected health intervention for remote patient monitoring in Saudi Arabia and Pakistan: explaining ‘the what’ and ‘the how’

Abstract Background Recent developments in connected health technology provide an opportunity to remotely monitor and provide health care to the patient needing long-term medical care. However, information about how any connected health interventions should be implemented for remote patient monitoring, and how patients should be educated and enabled for active participation in treatment is still not available to a sufficient degree. Discussion In this paper, we discussed what the components of a connected health intervention, entitled Remotely Accessible Health Care at Home (RAHAH), are, and how this intervention has been implemented in Saudi Arabia and Pakistan. The aim of this intervention is to remotely monitor, treat and educate patients needing long-term medical care. The description of the intervention is presented based on the Template for Intervention Description and Replication (TIDieR) checklist for the transparent, comprehensive and explicit reporting. Conclusion We believe, successful implementation of RAHAH would be crucial to monitor and manage growing chronic care populations more effectively and efficiently in Saudi Arabia and Pakistan

Mapping national information and communication technology (ICT) infrastructure to the requirements of potential digital health interventions in low- and middle-income countries

Background: Digital health can support health care in low and middle-income countries (LMICs) by overcoming problems of distance, poor infrastructure and the need to provide community practitioners with specialist support. We used five RESPIRE countries as exemplars (Bangladesh, India, Indonesia, Malaysia, Pakistan) to identify the digital health solutions that are valuable in their local setting, worked together with local clinicians and researchers to explore digital health policy, electricity/ICT infrastructure, and socio-cultural factors influencing users’ ability to access, adopt and utilise digital health. Methods: We adopted the Joanna Briggs Institute’s scoping review protocol and followed the Cochrane Rapid Review method to accelerate the review process, using the Implementation and Operation of Mobile Health projects framework and The Extended Technology Acceptance Model of Mobile Telephony to categorise the results. We conducted the review in four stages: (1) establishing value, (2) identifying digital health policy, (3) searching for evidence of infrastructure, design, and end-user adoption, (4) local input to interpret relevance and adoption factors. We used opensource national/international statistics such as the World Health Organization, International Telecommunication Union, Groupe Speciale Mobile, and local news/articles/ government statistics to scope the current status, and systematically searched five databases for locally relevant exemplars. Results: We found 118 studies (2015-2021) and 114 supplementary online news articles and national statistics. Digital health policy was available in all countries, but scarce skilled labour, lack of legislation/ interoperability support, and interrupted electricity and internet services were limitations. Older patients, women and those living in rural areas were least likely to have access to ICT infrastructure. Renewable energy has potential in enabling digital health care. Low usage mobile data and voice service packages are relatively affordable options for mHealth in the five countries. Conclusions: Effective implementation of digital health technologies requires a supportive policy, stable electricity infrastructures, affordable mobile internet service, and good understanding of the socio-economic context in order to tailor the intervention such that it functional, accessible, feasible, user-friendly and trusted by the target users. We suggest a checklist of contextual factors that developers of digital health initiatives in LMICs should consider at an early stage in the development process

Culture-Specific Observations in a Saudi Arabian Digital Home Health Care Program: Focus Group Discussions With Patients and Their Caregivers

BackgroundThere is growing evidence of the need to consider cultural factors in the design and implementation of digital health interventions. However, there is still inadequate knowledge pertaining to the aspects of the Saudi Arabian culture that need to be considered in the design and implementation of digital health programs, especially in the context of home health care services for patients who are chronically and terminally ill. ObjectiveThis study aims to explore the specific cultural factors related to patients and their caregivers from the perspective of physicians, nurses, and trainers that have influenced the pilot implementation of Remotely Accessible Healthcare At Home, a connected health program in the Home Health Care department at King Saud University Medical City, Riyadh, Saudi Arabia. MethodsA qualitative study design was adopted to conduct a focus group discussion in July 2019 using a semistructured interview guide with 3 female and 4 male participants working as nurses, family physicians, and information technologists. Qualitative data obtained were analyzed using a thematic framework analysis. ResultsA total of 2 categories emerged from the focus group discussion that influenced the experiences of digital health program intervention: first, culture-related factors including language and communication, cultural views on using cameras during consultation, nonadherence to web-based consultations, and family role and commitment and second, caregiver characteristics in telemedicine that includes their skills and education and electronic literacy. Participants of this study revealed that indirect contact with patients and their family members may work as a barrier to proper communication through the Remotely Accessible Healthcare At Home program. ConclusionsWe recommend exploring the use of interpreters in digital health, creating awareness among the local population regarding privacy in digital health, and actively involving direct family members with the health care providers

Pattern of inappropriate antibiotic use among hospitalized patients in Pakistan: a longitudinal surveillance and implications

Background: The inappropriate use of antibiotics in hospitals increases resistance, morbidity, and mortality. Little is currently known about appropriate antibiotic use among hospitals in Lahore, the capital city of Pakistan. Methods: Longitudinal surveillance was conducted over a period of two months among hospitals in Lahore, Pakistan. Antibiotic treatment was considered inappropriate on the basis of a wrong dosage regimen, wrong indication, or both based on the British National Formulary. Results: A total of 2022 antibiotics were given to 1185 patients. Out of the total prescribed, approximately two-thirds of the study population (70.3%) had at least one inappropriate antimicrobial. Overall, 27.2% of patients had respiratory tract infections, and out of these, 62.8% were considered as having inappropriate therapy. Cephalosporins were extensively prescribed among patients, and in many cases, this was inappropriate (67.2%). Penicillins were given to 283 patients, out of which 201 (71.0%) were prescribed for either the wrong indication or dosage or both. Significant variations were also observed regarding inappropriate prescribing for several antimicrobials including the carbapenems (70.9%), aminoglycosides (35.8%), fluoroquinolones (64.2%), macrolides (74.6%) and other antibacterials (73.1%). Conclusion: Educational interventions, institutional guidelines, and antimicrobial stewardship programs need to be developed to enhance future appropriate antimicrobial use in hospitals in Pakistan. Policies by healthcare and Government officials are also needed to minimize inappropriate antibiotic use