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+<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM ikRdXB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><p>This dataset is being provided under creative commons License (Attribution-Non-Commercial-Share Alike 4.0 International (CC BY-NC-SA 4.0)) <a rel="noreferrer nofollow" aria-label="https://creativecommons.org/licenses/by-nc-sa/4.0/ (opens in a new tab)" target="_blank" href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a></p>
+<h3>Context</h3>
+<p>This data was collected from patients admitted over a period of two years (1 April 2017 to 31 March 2019) at Hero DMC Heart Institute, Unit of Dayanand Medical College and Hospital, Ludhiana, Punjab, India. This is a tertiary care medical college and hospital. During the study period, the cardiology unit had 14,845 admissions corresponding to 12,238 patients. 1921 patients who had multiple admissions. </p>
+<p>Specifically, data were related to patients ; date of admission; date of discharge; demographics, such as age, sex, locality (rural or urban); type of admission (emergency or outpatient); patient history, including smoking, alcohol, diabetes mellitus (DM), hypertension (HTN), prior coronary artery disease (CAD), prior cardiomyopathy (CMP), and chronic kidney disease (CKD); and lab parameters corresponding to hemoglobin (HB), total lymphocyte count (TLC), platelets, glucose, urea, creatinine, brain natriuretic peptide (BNP), raised cardiac enzymes (RCE) and ejection fraction (EF). Other comorbidities and features (28 features), including heart failure, STEMI, and pulmonary embolism, were recorded and analyzed.</p>
+<p>Shock was defined as systolic blood pressure &lt; 90 mmHg, and when  the cause for shock was any reason other than cardiac.  Patients in shock due to cardiac reasons were classified into cardiogenic shock. Patients in shock due to multifactorial pathophysiology (cardiac and non-cardiac) were considered for both categories. <br>
+The outcomes indicating whether the patient was discharged or expired in the hospital were also recorded.</p>
+<p>Further details about this dataset can be found here:<br>
+<a rel="noreferrer nofollow" aria-label="https://doi.org/10.3390/diagnostics12020241 (opens in a new tab)" target="_blank" href="https://doi.org/10.3390/diagnostics12020241">https://doi.org/10.3390/diagnostics12020241</a> </p>
+<p><em>If you use this dataset in academic research all publications arising out of it must cite the following paper:</em><br>
+Bollepalli, S.C.; Sahani, A.K.; Aslam, N.; Mohan, B.; Kulkarni, K.; Goyal, A.; Singh, B.; Singh, G.; Mittal, A.; Tandon, R.; Chhabra, S.T.; Wander, G.S.; Armoundas, A.A. An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit. Diagnostics 2022, 12, 241. <a rel="noreferrer nofollow" aria-label="https://doi.org/10.3390/diagnostics12020241 (opens in a new tab)" target="_blank" href="https://doi.org/10.3390/diagnostics12020241">https://doi.org/10.3390/diagnostics12020241</a></p>
+<p><em>If you intend to use this data for commercial purpose explicit written permission is required from data providers.</em></p>
+<h3>Content</h3>
+<p>table_headings.csv has explanatory names of all columns.</p>
+<h3>Acknowledgements</h3>
+<p>Data was collected from Hero Dayanand Medical College Heart Institute Unit of Dayanand Medical College and Hospital, Ludhiana, Punjab, India.</p>
+<h3>Inspiration</h3>
+<p>For any questions about the data or collaborations please contact <a rel="noreferrer nofollow" href="mailto:ashish.sahani@iitrpr.ac.in">ashish.sahani@iitrpr.ac.in</a></p></div></div></div>
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