Abridge: A mission driven approach to machine learning for healthcare conversation

2021 ◽  
Vol 26 (2) ◽  
Author(s):  
Sandeep Konam ◽  
Shivdev Rao
Keyword(s):  
Machine Learning ◽  
Healthcare Delivery ◽  
Human Centered Design ◽  
The People ◽  
Business Challenges

In this brief case study, we describe an approach to structuring and summarizing information from one of the largest untapped sources of data in healthcare delivery -- spoken conversations. Abridge’s mission is to shift agency to the people and families at the center of those spoken conversations, using bleeding-edge machine learning and human-centered design. The space of conversation understanding is largely untapped and we will discuss our scientific approaches to business challenges that map to the company’s mission of helping everyone better understand and follow through on their healthcare conversations.

scholarly journals Event-Driven Time Series Analysis and the Comparison of Public Reactions on Covid-19

2021 ◽  
Author(s):  
Md. Khayrul Bashar
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Statistical Testing ◽  
Japanese People ◽  
Rule Based ◽  
The People ◽  
Economic Support ◽  
Rapid Spread ◽  
Statistical Results

The rapid spread of COVID-19 has already affected human lives throughout the globe. Governments of different countries have taken various measures, but how they affected people lives is not clear. In this study, a rule-based and a machine-learning based models are applied to answer the above question using public tweets from Japan, USA, UK, and Australia. Two polarity timeseries (meanPol and pnRatio) and two events, namely “lockdown or emergency (LED)” and “the economic support package (ESP)”, are considered in this study. Statistical testing on the sub-series around LED and ESP events showed their positive impacts to the people of (UK and Australia) and (USA and UK), respectively unlike Japanese people that showed opposite effects. Manual validation with the relevant tweets shows an agreement with the statistical results. A case study with Japanese tweets using supervised logistic regression classifies tweets into heath-worry, economy-worry and other classes with 83.11% accuracy. Predicted tweets around events re-confirm the statistical outcomes.

The Local Government of Kulon Progo Regency Innovation in Subduing Capitalism through Community Empowerment

2020 ◽  
Vol 4 (2) ◽  
pp. 229
Author(s):  
Muhammad Eko Atmojo ◽  
Helen Dian Fridayani
Keyword(s):  
Qualitative Method ◽  
Positive Impact ◽  
Community Empowerment ◽  
Case Study Approach ◽  
Study Approach ◽  
The Past ◽  
The People ◽  
District Government ◽  
The Government

Kulon Progo Regency is one of the districts that has many innovations, one of which is community empowerment in collaboration with a modern shop abbreviated as the shop name owned by the people (tomira). This research was motivated by the achievements of the Kulon Progo district government in carrying out development and innovation in the development of the Kulon Progo region by fully involving the Kulon Progo district community through community empowerment. This initiative was taken by the government of Kulon Progo Regency to improve community empowerment and protect the people of Kulon Progo Regency from various economic threats. Considering that in the past few years many modern shops have mushroomed in each district/city, so this is what makes Kulon Progo Regency move quickly to empower the community by collaborating between MSMEs or cooperative with modern shops. This study uses a qualitative method which case study approach. With the empowerment that has been done, the original products of Kulon Progo Regency or local products can be traded in modern stores so that local products in Kulon Progo Regency can compete with national products in these modern stores. The existence of such cooperation will indirectly improve the image of Kulon Progo Regency and lift the original products of Kulon Progo Regency. The lifting of the original products of Kulon Progo Regency will have a positive impact on the community, where indirectly the economy of the community will increase so that there will be prosperity for the community. Kabupaten Kulon Progo adalah salah satu kabupaten yang memiliki banyak inovasi, salah satunya adalah pemberdayaan masyarakat bekerja sama dengan toko modern disingkat nama toko yang dimiliki oleh masyarakat (tomira). Penelitian ini dilatarbelakangi oleh pencapaian pemerintah kabupaten Kulon Progo dalam melakukan pengembangan dan inovasi dalam pengembangan wilayah Kulon Progo dengan melibatkan sepenuhnya masyarakat kabupaten Kulon Progo melalui pemberdayaan masyarakat. Inisiatif ini diambil oleh pemerintah Kabupaten Kulon Progo untuk meningkatkan pemberdayaan masyarakat dan melindungi masyarakat Kabupaten Kulon Progo dari berbagai ancaman ekonomi. Menimbang bahwa dalam beberapa tahun terakhir banyak toko-toko modern telah menjamur di setiap kabupaten/kota, jadi inilah yang membuat Kabupaten Kulon Progo bergerak cepat untuk memberdayakan masyarakat dengan berkolaborasi antara UMKM atau bekerjasama dengan toko-toko modern. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus, dengan metode yang digunakan adalah dokumentasi. Dengan pemberdayaan yang telah dilakukan, produk asli Kabupaten Kulon Progo atau produk lokal dapat diperdagangkan di toko modern sehingga produk lokal di Kabupaten Kulon Progo dapat bersaing dengan produk nasional di toko modern ini. Adanya kerjasama tersebut secara tidak langsung akan meningkatkan citra Kabupaten Kulon Progo dan mengangkat produk asli Kabupaten Kulon Progo. Pencabutan produk asli Kabupaten Kulon Progo akan berdampak positif bagi masyarakat, di mana secara tidak langsung perekonomian masyarakat akan meningkat sehingga akan ada kesejahteraan bagi masyarakat.

Evaluation of Socio-Economic Conditions of Coldwater Fish Farmers: A Case Study of Sikkim

2020 ◽  
pp. 62-71
Keyword(s):  
Income Inequality ◽  
Economic Status ◽  
Good Condition ◽  
Total Sample ◽  
Living Conditions ◽  
Economic Conditions ◽  
Gini Coefficients ◽  
Socio Economic Status ◽  
The People

ABSTRACT The study analyses the socio-economic status, degree of income inequality and perceived socio-economic conditions of the fish farmers of the four districts of Sikkim. A total sample size of 200 fish farmers was selected from the four districts depending upon the presence of the number of farmers in each district. Purposive random sampling method was used and the results were analysed from descriptive statistics such as frequency count and percentages. The degree of income inequality was analysed through Gini coefficients. The factors that determined the perceived socio-economic living conditions were analysed with a logistic regression model. The socio-economic status of the people was found to be in good condition and there were not many variations among the fish farmers of different districts. Most of the respondents had pucca houses with the combination of firewood and LPG as a source of cooking fuel and also had access to basic amenities like electricity, drinking water and sanitation facilities in the households. The study also found that income inequality was not so severe amongst the fish farmers of the three districts except for the East district which had the strongest income inequality. The per capita income, housing condition and ratio of above primary education to total members had a significant impact on the perceived living conditions of the fish farmers. Keywords

KELOMPOK MUSIK REJUNG PESIRAH: STRATEGI ADAPTASI PADA MASYARAKAT PALEMBANG

2019 ◽  
Vol 2 (2) ◽  
pp. 27-37
Author(s):  
Dwi Putri Agustini
Keyword(s):  
Cultural Anthropology ◽  
Case Study Research ◽  
Traditional Music ◽  
Adaptation Strategy ◽  
The People ◽  
Musical Arrangements ◽  
The Face ◽  
Cultural Modification ◽  
Traditional Arts

The present phenomenon has clearly brought a change and the influence of the development of traditional music in Palembang society, if this is not carefully addressed, it will experience a shift, alienation and even lose its supporters. The rejung pesirah music group is one of the music groups that still maintains traditional arts in the people of Palembang. This study examines how the adaptation strategy of the rejung pesirah music group in dealing with changes and developments in Palembang society. For this reason, the approach used is cultural anthropology with qualitative case study research methods in Palembang. Data collection is done through observation, interviews and document studies that use triangulation techniques as the validation of the data, while for data analysis through content analysis and interactive models. The results showed that the adaptation strategy undertaken by the rejung pesirah music group was an act and creative ability and had a positive mindset, understanding in responding to changes and needs as an impulse to develop in the face of environmental change and development through learning processes and cultural modification, which resulted a creativity that is the creation of songs, musical arrangements, and musical instruments in the rejung pesirah music group.

Novel Machine-Learned Approach for COVID-19 Resource Allocation: A Tool for Evaluating Community Susceptibility (Preprint)

2020 ◽  
Author(s):  
Neil Kale
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Insurance Coverage ◽  
Premature Mortality ◽  
Health Insurance Coverage ◽  
Heart Attacks ◽  
Lifestyle Risk Factors ◽  
The People ◽  
Potential Risk Factors ◽  
Lifestyle Risk

BACKGROUND Despite worldwide efforts to develop an effective COVID vaccine, it is quite evident that initial supplies will be limited. Therefore, it is important to develop methods that will ensure that the COVID vaccine is allocated to the people who are at major risk until there is a sufficient global supply. OBJECTIVE The purpose of this study was to develop a machine-learning tool that could be applied to assess the risk in Massachusetts towns based on community-wide social, medical, and lifestyle risk factors. METHODS I compiled Massachusetts town data for 29 potential risk factors, such as the prevalence of preexisting comorbid conditions like COPD and social factors such as racial composition, and implemented logistic regression to predict the amount of COVID cases in each town. RESULTS Of the 29 factors, 14 were found to be significant (p < 0.1) indicators: poverty, food insecurity, lack of high school education, lack of health insurance coverage, premature mortality, population, population density, recent population growth, Asian percentage, high-occupancy housing, and preexisting prevalence of cancer, COPD, overweightness, and heart attacks. The machine-learning approach is 80% accurate in the state of Massachusetts and finds the 9 highest risk communities: Lynn, Brockton, Revere, Randolph, Lowell, New Bedford, Everett, Waltham, and Fitchburg. The 5 most at-risk counties are Suffolk, Middlesex, Bristol, Norfolk, and Plymouth. CONCLUSIONS With appropriate data, the tool could evaluate risk in other communities, or even enumerate individual patient susceptibility. A ranking of communities by risk may help policymakers ensure equitable allocation of limited doses of the COVID vaccine.

Sign in / Sign up

Export Citation Format

Share Document