https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063561/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC67...

Question

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063561/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710055/

These are the research papers having the data sets and methods . You should come up with your own data analysis not exactly the same way they mentioned in the paper. But you should utilize those data sets and methods provided in the paper as a reference to come up with your own analyzation using python programming language.

Pushpendra · Accepted Answer

,Gender,Symptoms,Alcohol,HBsAg,HBeAg,HBcAb,HCVAb,Cirrhosis,Endemic,Smoking,Diabetes,Obesity,Hemochro,AHT,CRI,HIV,NASH,Varices,Spleno,PHT,PVT,Metastasis,Hallmark,Age,Grams_day,Packs_year,PS,Encephalopathy,Ascites,INR,AFP,Hemoglobin,MCV,Leucocytes,Platelets,Albumin,Total_Bil,ALT,AST,GGT,ALP,TP,Creatinine,Nodule,Major_Dim,Dir_Bil,Iron,Sat,Ferritin,Class,class_,Age_bin
0,1,0,1,0,0,0,0,1,0,1,1,0,1,0,0,0,0,1,0,0,0,0,1,67,137,15,0,1,1,"1,53",95,"13,7","106,6","4,9",99,"3,4","2,1",34,41,183,150,"7,1","0,7",1,"3,5","0,5","52,5",37,856,1,Survive,Old
1,0,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,0,1,0,0,0,0,1,62,0,0,0,1,1,"1,24","2,6","10,3",83,"6,1","1,71","3,9","0,8",11,28,77,120,7,"0,58",1,"1,8","0,85",32,10,18,1,Survive,Old
2,1,0,1,1,0,1,0,1,0,1,0,0,0,1,1,0,0,0,0,1,0,1,1,78,50,50,2,1,2,"0,96","5,8","8,9","79,8","8,4",472,"3,3","0,4",58,68,202,109,7,"2,1",5,13,"0,1",28,6,16,1,Survive,Old
3,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,77,40,30,0,1,1,"0,95",2440,"13,4","97,1",9,279,"3,7","0,4",16,64,94,174,"8,1","1,11",2,"15,7","0,2",131,78,1316,0,Not Survive,Old
4,1,1,1,1,0,1,0,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1,76,100,30,0,1,1,"0,94",49,"14,3","95,1","6,4",199,"4,1","0,7",147,306,173,109,"6,9","1,8",1,9,"0,1",59,15,22,1,Survive,Old
5,1,0,1,0,0,0,0,1,0,1,0,1,0,0,0,0,0,1,1,1,0,0,1,75,100,"67,5",1,1,2,"1,58",110,"13,4","91,5","5,4",85,"3,4","3,5",91,122,242,396,"5,6","0,9",1,10,"1,4",53,22,111,0,Not Survive,Old
6,1,0,0,0,0,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,49,0,0,0,1,1,"1,4","138,9","10,4",102,"3,2",42000,"2,35","2,72",119,183,143,211,"7,3","0,8",5,"2,6","2,19",171,126,1452,0,Not Survive,Mid Age
7,1,1,1,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,1,1,1,0,1,61,60,20,3,1,1,"1,46",9860,"10,8",92,3,58,"3,1","3,2",79,108,184,300,"7,1","0,52",2,9,"1,3",42,25,706,0,Not Survive,Old
8,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,1,1,1,0,0,1,50,100,32,1,1,2,"3,14","8,8","11,9","107,5","4,9",70,"1,9","3,3",26,59,115,63,"6,1","0,59",1,"6,4","1,2",85,73,982,1,Survive,Mid Age
9,1,1,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,43,100,0,0,1,1,"1,12","1,8","11,8","87,8",5100,193000,"4,2","0,5",71,45,256,303,"7,1","0,59",1,"9,3","0,7",37,11,173,1,Survive,Mid Age
10,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,1,41,100,0,0,1,2,"1,05",100809,13,"94,2","5,7",196,"4,4",3,90,334,494,236,"7,6","0,8",5,"3,5","1,1",224,95,363,0,Not Survive,Mid Age
11,1,0,1,0,0,0,1,1,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,74,100,0,0,1,1,"1,33",86,"15,7","96,7",4,61,"3,7","1,3",132,168,113,154,"5,2","7,6",5,"1,9","0,3",144,41,277,1,Survive,Old
12,1,0,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,1,1,1,1,0,0,66,60,30,0,1,1,"1,53",60,"13,3","90,1","5,5",207000,"4,4","8,5",25,36,35,74,"8,5","0,73",1,5,"0,8",94,27,70,1,Survive,Old
13,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,56,0,0,0,1,1,"1,2","6,6","13,7","93,8","4,1",91000,"4,5",1,103,96,205,70,"8,8","0,88",1,22,"0,2",82,24,80,1,Survive,Mid Age
14,1,0,1,0,0,0,0,1,0,0,1,0,0,1,0,0,0,1,1,1,0,0,1,63,100,0,2,2,2,"1,25",29,"13,5",93,6,128,"3,15","10,5",76,116,165,163,"7,3","1,07",4,"4,5","4,5",197,84,302,1,Survive,Old
15,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,1,1,0,1,41,100,0,1,1,2,"1,61","4,6","10,2","89,6","5,5",161,"3,1","3,1",24,57,163,176,5,"0,8",2,"2,6","1,3",25,13,60,1,Survive,Mid Age
16,1,0,1,0,0,0,0,1,0,1,1,0,1,0,0,0,0,1,1,1,1,0,1,72,60,"67,5",3,2,1,"2,14",60,"12,1","99,2",5,58,"2,4","9,8",69,63,201,235,"6,2","0,96",2,2,"2,9",136,95,767,0,Not Survive,Old
17,1,1,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,1,1,1,1,1,60,100,60,2,1,1,"1,05","9,2","10,3","103,7","5,4",159,"3,8","0,5",56,91,459,146,"5,4","1,23",5,"13,5","3,8",187,58,443,1,Survive,Mid Age
18,1,1,1,0,0,0,0,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,1,64,200,78,1,1,1,"1,13","8,8","14,9","94,8","6,3",137,"4,3","0,9",16,23,82,180,"6,5","4,95",1,"5,4","0,9",144,49,295,1,Survive,Old
19,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,1,1,0,1,75,500,0,0,1,3,"1,44",34,"15,9","103,4",9600,101000,"3,4","3,4",27,87,260,147,"6,3","0,9",5,"2,3","1,6",67,34,774,0,Not Survive,Old
20,1,0,1,0,0,0,0,1,0,1,0,1,0,0,0,0,0,1,1,1,0,0,0,71,200,60,0,1,1,"1,29","19,6","11,7",101,2600,109000,"3,6","1,7",13,35,23,141,"7,3","0,68",1,"2,5","0,7","152,6",39,"76,9",1,Survive,Old
21,1,0,1,0,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,73,80,47,0,1,1,"1,06","3,9","16,4","90,7","7,8",187,"4,5",1,54,47,52,97,"6,3","0,75",1,"6,8","0,2",87,26,84,1,Survive,Old
22,1,1,1,0,0,1,0,1,0,0,0,1,0,1,0,0,0,0,1,1,0,0,1,66,180,0,1,1,3,"1,27",1975,"10,8","86,5",9100,154000,"3,1","1,2",68,136,869,562,69,"1,14",5,"3,8","0,5",112,73,1001,0,Not Survive,Old
23,1,1,1,0,0,0,0,1,1,1,1,0,0,1,0,0,0,1,1,1,1,1,1,64,200,60,1,1,1,"4,82",185,"10,7","88,1",5,194000,"3,6","3,8",217,86,879,396,7,"0,53",5,15,"1,6",94,27,70,0,Not Survive,Old
24,1,1,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,84,150,30,4,1,1,"1,74",5532,"13,1",111,"3,5",351000,"2,4","1,3",26,67,108,311,"5,6","0,95",1,10,"0,7",40,12,57,0,Not Survive,Old
25,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,1,1,0,1,80,100,0,2,1,1,"1,33",13327,"13,7","94,3","5,2",110,"3,1","1,6",52,107,465,233,"8,4","0,79",5,"6,5","0,7",93,31,79,1,Survive,Old
26,1,1,1,0,0,1,1,1,0,1,0,0,0,0,0,0,0,1,1,1,1,0,1,45,50,16,1,1,3,"1,38",41,"13,6","98,4","4,3",99000,"3,3","1,3",178,325,252,172,"8,1","0,83",1,5,"0,7",224,95,363,0,Not Survive,Mid Age
27,1,1,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,1,57,100,0,0,1,1,"1,37","5,9","15,5","88,2","4,9",113,"4,5","3,2",36,65,34,111,37,"0,4",2,4,1,180,56,48,1,Survive,Mid Age
28,1,0,1,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,1,1,1,0,1,61,60,"67,5",1,1,1,"1,3",3255,"12,2","89,5","4,4",108,3,"1,1",59,85,419,293,"7,7","0,67",2,"6,5","0,4",94,27,70,0,Not Survive,Old
29,1,1,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,20,100,2,1,1,1,"1,21","1,9","9,9","83,4","8,1",556,"3,2","1,8",150,112,599,974,"7,7","0,7",5,"3,2","1,1",22,7,369,1,Survive,Youth
30,1,1,1,1,0,1,0,1,1,1,0,0,0,0,0,0,0,1,1,1,1,0,1,60,20,8,2,1,1,"1,19",11,"13,1","87,9","7,8",212,"3,5","0,7",27,26,143,158,"8,2","0,71",1,16,"0,5",94,27,70,1,Survive,Mid Age
31,1,0,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,1,1,1,0,0,1,62,120,"67,5",0,1,1,"1,44",1237,"12,2",94,6200,93000,"4,2",1,35,85,191,129,58,"1,06",5,7,"0,4",75,24,239,1,Survive,Old
32,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,67,100,0,0,1,1,"1,32","7,7","15,7","96,1","9,1",268000,"3,4","0,6",20,29,49,135,"8,2","0,9",2,6,"0,3",59,15,22,1,Survive,Old
33,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,77,100,0,0,1,1,"1,24",266,"13,7","97,7",13000,170000,"4,2","0,5",68,85,232,227,"16,8","1,72",1,"5,9","0,3",104,37,635,1,Survive,Old
34,1,1,1,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,62,100,0,0,1,1,"1,28",5689,"14,3","99,6","6,8",77,"3,8","1,7",154,102,184,184,"6,9","0,89",2,3,"0,77",94,37,48,1,Survive,Old
35,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,76,0,0,0,1,1,"0,96","14,2","14,8","98,5",5,187,"4,2","0,77",43,86,89,113,"6,7","0,95",3,"8,8","0,37",180,70,1176,1,Survive,Old
36,1,1,1,0,0,0,0,1,0,0,1,0,0,1,0,0,0,1,1,1,0,0,1,73,75,0,4,1,2,2,"3,1","13,1","109,3","44,6",60,"2,3","7,8",38,74,180,127,"5,6","0,88",5,"3,1","3,3",98,89,870,0,Not Survive,Old
37,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,1,0,1,0,0,1,84,200,30,1,1,2,"1,24",633,13,"96,5",7200,143000,"2,3","1,1",40,58,322,209,"6,7","1,4",5,"4,9","0,2",57,25,134,0,Not Survive,Old
38,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,70,100,0,0,1,1,"1,09","5,4","14,9",105,"7,2",230000,"4,2","1,3",18,26,174,92,"7,3","0,8",2,6,"0,3","52,5",37,856,1,Survive,Old
39,1,1,1,1,0,1,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,1,1,59,200,0,0,1,1,"1,42",479,"11,3","82,2",9500,160000,"3,1","1,4",113,143,924,288,"7,9","0,98",5,17,"0,6",28,6,16,1,Survive,Mid Age
40,0,1,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,1,71,0,0,0,1,1,"1,18",19,"13,9","88,3","6,9",201000,"4,4","0,8",142,117,123,104,"8,5","0,74",2,"3,3","0,3",143,"50,18",120,1,Survive,Old
41,1,0,0,0,0,1,0,1,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,66,0,0,0,1,1,"1,21","2,8","15,7","92,7","15,4",188000,"4,1","0,7",299,553,196,68,"6,5","1,3",1,5,"0,3","52,5",37,856,1,Survive,Old
42,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,86,0,0,3,1,1,"1,2",185203,15,"85,5","8,8",183,"3,6",1,49,117,442,278,"7,2","0,86",5,"15,8","0,3",21,9,279,0,Not Survive,Old
43,1,0,1,0,0,0,0,1,0,1,0,1,0,0,0,0,1,1,1,1,0,0,1,71,75,60,0,1,1,"1,17",5,"15,1","104,1","4,3",65000,"3,8","2,5",61,56,239,56,"7,3","0,7",1,2,"0,2",53,22,111,1,Survive,Old
44,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,0,1,52,0,0,0,1,1,"1,71",237,"15,6","98,1","4,3",88,"3,2","2,2",30,52,72,97,"6,7","0,86",5,"2,2","0,5",50,16,20,1,Survive,Mid Age
45,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,60,100,0,0,1,1,"1,18","2,8","16,6","93,8",8300,167000,"4,9","0,9",35,29,62,68,"8,3","0,72",1,"2,3","0,3","52,5",37,856,1,Survive,Mid Age
46,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,45,0,0,0,1,1,"1,03",18,"13,2","89,5","2,6",136000,"4,3","0,8",18,29,82,141,"7,2","0,85",1,"9,5","0,3",91,31,80,1,Survive,Mid Age
47,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,66,100,0,1,1,2,"1,64",16,14,"102,9","11,5",277000,"3,1","6,8",140,244,795,595,"7,2","0,79",1,"2,3","4,1",63,34,888,0,Not Survive,Old
48,1,1,0,0,0,0,0,0,0,1,1,0,0,1,1,0,1,0,0,0,0,0,0,80,0,80,0,1,1,"1,33",163,"10,6","96,2",9900,280000,"3,3",1,28,57,236,171,"7,5","1,38",1,19,"0,5",45,21,802,0,Not Survive,Old
49,1,1,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,1,1,1,0,0,0,58,100,40,0,1,1,"1,49",20,15,"96,7",9,78,"4,6","2,1",40,49,137,109,"7,6","0,8",1,2,"0,4",184,59,905,1,Survive,Mid Age
50,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,27,0,0,2,1,1,"0,97",46,"10,5","78,7","20,9",251,"2,4","0,3",31,185,91,539,5,"0,38",5,20,"0,3",46,18,80,0,Not Survive,Young Adult
51,0,0,1,0,0,0,1,1,0,0,1,0,0,0,0,0,0,1,1,1,0,1,0,73,100,0,0,1,1,"1,2",41470,"12,6","91,4",12,275000,"3,11","2,3",55,94,394,350,"7,3","1,7",5,8,"0,8",84,37,497,0,Not Survive,Old
52,1,1,1,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,73,100,0,0,1,1,"1,33","4,7","11,8","80,2","3,7",99,"4,1","0,7",50,47,67,62,"7,4","0,77",1,"2,3","0,4",104,37,635,1,Survive,Old
53,1,1,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,1,50,100,0,0,1,1,"1,65","7,3","15,3","93,7",3500,57000,"2,1","1,4",111,93,294,130,37,"0,76",2,2,"0,3",184,"2,26",59,1,Survive,Mid Age
54,1,1,1,0,0,0,1,1,0,1,0,0,0,0,0,0,0,1,1,1,1,0,1,51,100,30,3,1,2,"1,35",1898,"12,4","95,1","9,8",216,"2,7","8,2",164,523,433,397,"6,7","0,82",1,"2,1","5,5",56,27,742,0,Not Survive,Mid Age
55,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,1,78,0,0,1,1,1,"1,32",77,"10,8",88,6000,174000,"3,2","0,9",48,19,171,923,"5,4","1,31",3,"15,4","0,12",14,5,149,0,Not Survive,Old
56,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,1,0,0,1,81,100,10,2,1,2,"3,56","2,7","7,3","90,8","2,4",159000,"3,4","0,5",25,32,80,55,"6,2","0,85",1,"2,2","1,2",22,6,48,0,Not Survive,Old
57,1,0,1,0,0,0,0,1,0,1,1,0,0,1,0,0,0,1,0,1,0,0,1,65,100,"67,5",0,1,1,"1,24","2,6","10,3",83,"6,1","1,71","3,9","0,8",11,28,77,120,7,"0,58",1,"4,7","0,85",32,10,18,1,Survive,Old
58,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,1,0,0,1,72,70,0,3,2,2,"1,96",12,"10,9",102,"4,1",99,"1,9","4,2",73,85,470,263,7,"0,99",1,"8,5","1,9",44,20,176,0,Not Survive,Old
59,1,1,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,82,0,80,0,1,1,"1,11",163,"18,7","92,4",6900,270000,4,"0,9",35,73,115,103,"6,8","1,24",1,10,"0,2",45,21,802,0,Not Survive,Old
60,1,1,0,1,0,1,0,1,1,1,0,0,0,0,0,0,0,1,1,1,1,0,1,76,0,50,1,1,3,"1,28",608,"12,6",100,"5,4",129,4,"1,7",107,99,125,100,"7,5","0,9",5,"3,5","0,5",161,96,297,1,Survive,Old
61,1,1,1,0,0,1,1,1,0,1,0,0,0,0,0,0,0,1,1,1,0,0,1,56,100,40,0,2,2,"1,

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063561/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710055/ These are the research papers having the data sets and methods . You should come up with your...

Answer To: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063561/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC67...

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